Recently Many technologies of the P.L.N (Power Line Network) are introduced for an efficient communication. P.L.N transmits information using power line channel. A medical information transmission system is proposed in this paper for the effective transmission. The Power Line Networks have an advantage in low cost because it uses existent power line. It can be easily applied anywhere that a power line socket is available. But the power line channel is very noisy, because many electronic devices in generate electronic noise in modulated signals. This problem should be considered carefully in the design of medical information transmission system using P.L.N. The proposed system can be applied...I propose a telemedicine system using the power line network.

The fault monitoring technique is presented for identifying the status of the agitator driving system in thermal reduction reactor. For identifying a fault such as bearing defect or clearance blocking, Wavelet transform (WT) is applied to vibration signals and features are extracted. For classification, the fuzzy ARTMAP is employed. With the features from WT, a single training epoch and a single learning iteration are sufficient for the fuzzy ARTMAP to classify the faults. The test results show the perfect classification though some features extracted from the test data are distorted against those in the training data

In this paper, an efficient FFT-based fault detection algorithm is proposed. In our proposed method, fault detection is accomplished by process similar to the conventional FFT-based fault detection. However, the proposed technique adopts fast algorithms for preprocessing, where the conventional operation such as averaging is replaced with recursive average operation that outperforms the former in computational cost. And, the proposed approach utilizes the feature vector with the small dimension, which is extracted from spectral components of the lower and upper sidebands around the fundamental frequency. The mean absolute difference (MAD) criterion is used to finally determine whether motor...

We analyze the effect of main inertial sensor errors such as, misalignment, scale factor error and bias on the performance of modified sequential probability ratio test (SPRT) for sequential fault detection and isolation (FDI). The inertial sensor errors cause the modified SPRT method to give false alarm. We use a two-stage KF to obtain a modified parity vector with which the inertial sensor errors can be removed and thus modified SPRT method can be used regardless of inertial sensor errors.

We consider inertial navigation system (INS) sensor redundancy and propose a method which uses singular value decomposition to detect and isolate faults when even two sensors have faults simultaneously. When redundant sensor configuration is given, such as symmetric configuration in INS, the range space and null space of configuration matrix are determined. We use null space of configuration matrix and define 21 reference fault vectors which include 6 one-fault vectors and 15 two-fault vectors. Measurements are projected into null space of measurement matrix and compared with 21 normalized reference fault vectors, which determines fault detection and isolation.

Processing plasmas are playing a crucial role in either depositing thin films or etching fine patterns. Any variability in process factors (such as radio frequency power or pressure) can cause a significant shift in plasma state. When this shift becomes large enough to change operating condition beyond an acceptable level, overall product quality can greatly be jeopardized. Thus, timely and accurate diagnosis of plasma malfunction is crucial to maintaining device yield and throughput. Many diagnostic systems have been developed, including HIPOCRATES [1] and PIES [2]. Plasma equipment was also diagnosed by combining neural network and expert system called Dempster-Schafer Theory [3]. A fact c...

The damage localization of the structural system using the natural frequency measurement only is proposed. The existing methods use the changes of mode shape, strain mode shape or curvature mode shape before and after the damage occurrence as these shapes carry the geometric information of the structure. Basically, the change of natural frequencies of the structure can be used as the indicator of the damage occurrence but not as the indicator of the damage location as the natural frequency changes does not carry the geometric information of the structure. In this research, the feedback scope method that measures the natural frequency changes of the structure with and without the feedback Ioo...

The INS provides high rate position, velocity and attitude data with good short-term stability while the GPS provides position and velocity data with long-term stability. By integrating the INS with GPS, a navigation system can be achieved to provide highly accurate navigation performance. For the best performance, time synchronization of GPS and INS data is very important in GPS/INS integrated system. But, it is impossible to synchronize them exactly due to the communication and computation time-delay. In this paper, to reduce the error caused by the measurement time-delay in GPS/INS integrated systems, error compensation methods using separate bias Kalman filter are suggested for both the...

1. Introduction 2. The Feature of GPS Data 3. The Correction by Dead Reckoning (DR) Method 4. The Modified Simple DR Algorithm 5. The Smoothing 6. The Modification of Dilution of Precision (DOP) 7. Conclusion

Pseudolite (PL) is a kind of signal generator, which transmits GPS-like signal at the ground. However our own made PL is different from a GPS satellite in clock accuracy. GPS satellites are synchronized by use of high precision atomic clocks. But because our PLs use low cost temperature controlled oscillators (TCXO), so it is very difficult to synchronize them. Hence, we should install reference station and use Differential GPS (DGPS) algorithm to calculate user position. By use of this method, we already developed indoor navigation system a few years ago. We named it as 'Asynchronous Pseudolite Indoor Navigation System'. However, this system requires that sampling times of all the receivers...

Recently, number of navigation system using GPS and other complementary sensor has been developed to offer high-position accuracy. In this paper, we developed navigation system for mobile robot integrating GPS and DR sensor information provided by fiber optic gyroscopes and encoder information. In the case of short-term applications, integrating this encoder and gyroscope through Kalman filter reliable positioning can be obtained. And for the long-term applications we developed GPS/DR Integration algorithm using Kalman filter

$\textbullet$ NORAD SGP4 Model $\textbullet$ Conversion of the Osculating Orbit State into the NORAD TLE $\textbullet$ Derivation of the SGP4 Drag Term $\textbullet$ Conversion of the KOMPSAT-1 Orbit $\textbullet$ Effect of the SGP4 Drag Term $\textbullet$ Derivation of the KOMPSAT-1 B＊ Value $\textbullet$ Figure. Derived B＊ Values from KOMPSAT-1 MAPS Orbit state with considering the argument of latitude.

For RF sensitivity enhancement, the previous assisted GPS acquisition architecture adopts not only the coherent integration technique but also the non-coherent integration technique since the long coherent integration time increases the number of the frequency search cells. But the non-coherent integration technique induces the squaring loss, which is the dominant factor among the acquisition losses of assisted GPS dealing with weak GPS signals. This paper proposes an efficient architecture for weak signal acquisition in assisted GPS. In this paper, it is explained that the proposed architecture reduces the squaring loss using a modified non-coherent integration technique. Furthermore, it is..

1. Introduction 2. Focus of Expansion 3. Log-Polar Mapping 4. Egomotion and Optical Flow 5. Experimental Results 6. Conclusion. References.

● Introduction ● The environment of the RoboSot ● Extracting landmarks & feature points ● Experimental results ● Conclusion

1. Introduction 2. Stereovison Algorithm 3. Superquadric Models 4. Recovery of Superquadric Models 5. Conclusions

1. Introduction 2. Basic Camera models and geometry 3. Projection of line widths 4. Camera calibration algorithm 5. Experimental results 6. Conclusions and future work

In this paper we propose a new method for modeling indoor environment with stereo camera and suggest a localization method for mobile robot navigation on the basis of it. From the viewpoint of easiness in map building and exclusion of artificiality, the main idea of this paper is that environment is represented as global topological map and each node has omni-directional metric and color information by using stereo camera and pan/tilt mechanism. We use the depth and color information itself in image pixel as feature for environmental abstraction. In addition, we use only the depth and color information at horizontal centerline in image, where optical axis is passing. The usefulness of this m...

1. Introduction 2. System Configuration 2.1 Control System 2.1.1 Longitudinal control 2.1.2 Lateral control 2.2 Sensor System 2.2.1 Photo interrupt 2.2.2 Ultrasonic sensor 2.3 Vision system 2.4 Communication system 2.4.1 Data communication 2.4.2 Image Communication 3. Test and Result 3.1 Vision test 3.2 Ultrasonic sensor test 4. Conculsion. Acknowledgment References.

$\textbullet$ Sliding mode control (SMC) with nonlinear interpolation in variable boundary layer (VBL) is proposed $\textbullet$ A sigmoid function is used for nonlinear interpolation in VBL. $\textbullet$ The Parameter of the sigmoid function is tuned by fuzzy controller $\textbullet$ The choice of parameter for the sigmoid function is guided by FC. $\textbullet$ The parameter is continuously updated as boundary layer thickness varies. $\textbullet$ The proposed method hasbetter tracking performance than the conventional linear interpolation $\textbullet$ To demonstrate its performance the proposed control algorithm is applied to a nonlinear system.

$\textbullet$ Introduction $\textbullet$ An affine fuzzy system $\textbullet$ The stabilization of an affine fuzzy system $\textbullet$ Iterative LMI algorithm for the stabilization $\textbullet$ A numerical example $\textbullet$ Conclusion

Reinforcement Learning (RL) is one of machine learning methods and an RL agent autonomously learns the action selection policy by interactions with its environment. At the beginning of RL research, it was limited to problems in environments assumed to be Markovian Decision Process (MDP). However in practical problems, the agent suffers from the incomplete perception, i.e., the agent observes the state of the environments, but these observations include incomplete information of the state. This problem is formally modeled by Partially Observable MDP (POMDP). One of the possible approaches to POMDPS is to use historical nformation to estimate states. The problem of these approaches is how t..

$\textbullet$ Intrusion Detection Algorithm based on Artificial Immune System 1. Introduction 2. Research Background 3. The adaptation algorithm of SYN flooding attack 4. SIMULATION 5. Conclusion 6. References

$\textbullet$ Introduction $\textbullet$ Preliminaries $\textbullet$ Switching Problem in 3 hybrid System $\textbullet$ Design of a fuzzy-model-based controller $\textbullet$ An example $\textbullet$ Conclusion

$\textbullet$ The duffing forced oscillation system. $\textbullet$ The picture is result of the computer simulation. $\textbullet$ Control input of the PWM controller. $\textbullet$ The solid line type is resulted by digital controller. $\textbullet$ The dotted line type is resulted by analogue controller.

$\textbullet$ Actuator based on dielelectric elastomer $\textbullet$ Antagonistic configuration $\textbullet$ Musclelike characteristics $\textbullet$ Quasi-static and dynamic analysis $\textbullet$ Compliance control $\textbullet$ Robotic actuators

.Developing a skeletal framework artificial hand similar to real human hand. .Developing a micro artificial muscle actuated by pneumatic power. .Building a micro pneumatic system including micro atuators and its control devices. .Building a soft driving system for Service robots. .Designning and Fabricating a multi-channel micro pneumatic valve using MEMS technology.

$\textbullet$ Motion capture system $\textbullet$ Exoskeleton mechanism $\textbullet$ Kinematics analysis $\textbullet$ Man-machine Interface $\textbullet$ Wireless communication $\textbullet$ Control algorithm

$\textbullet$ A FPGA-based One-chip position controller with the PCI interface was developed. $\textbullet$ The peripherals of the existent controller can be implemented in one FPGA device. $\textbullet$ For this purpose, the high capacity FPGA device was used. $\textbullet$ PCI controller was merged into the position controller by using the PCI controller of core form. $\textbullet$ The developed position controller used only one FPGA device to achieve the required function. $\textbullet$ By doing this, the overall system can be simplified. $\textbullet$ The noise and power dissipation problems can be minimized and it has the advantage in the price.

$\textbullet$ Introduction $\textbullet$ Localization technique $\textbullet$ Experiments and evolutions $\textbullet$ Conclusions

$\textbullet$ Human motion consists of continual impact with environment $\textbullet$ External impulse model of kicking motion $\textbullet$ Models of aerodynamic forces $\textbullet$ Analysis of external impulse according to posture $\textbullet$ Simulation of a soccer ball trajectory

Localization is one of the most important functions for the mobile robot navigating in the unstructured environment. Most of previous localization schemes estimate current position and pose of mobile robot by applying various localization algorithms with the information obtained from sensors which are set on the mobile robot, or by recognizing an artificial landmark attached on the wall, or objects of the environment as natural landmark in the indoor environment. Several drawbacks about them have been brought up. To compensate the drawbacks, a new localization method that estimates the global position of the mobile robot by using a camera set on ceiling in the corridor is proposed. This sch...

1. Introduction 2. Problem Formulation 3. Avoidability Measure And Relative Distance 4. Artificial Potential Field in Terms of Relative Distance 5. Simulation Results 6. Conclusions 7. Reference

$\textbullet$ Mobile robots $\textbullet$ Sensor-based motion planning $\textbullet$ Potential field $\textbullet$ Local minimum-free motion $\textbullet$ Virtual target point $\textbullet$ Set of linked line segments $\textbullet$ We build a sensor-based motion planning using virtual target point for free of local minimum

$\textbullet$ Feature extraction method for robot application $\textbullet$ Using ultrasonic sensor arrays $\textbullet$ Differentiate the target as plane, corner and edge $\textbullet$ Neural network approach

$\textbullet$ Wearable I/O Devices relieve the restriction of working space to the worker. $\textbullet$ And They permit very active work achievement to the worker. $\textbullet$ But, current Wearable I/O Devices still have some controversial points. $\textbullet$ The worker needs serie system operations to wear and take off devices. $\textbullet$ Also, it is not easy to change any device which is currently used when the worker uses some devices. $\textbullet$ So, we propose the Compact Wireless Communication Module to solve these problem. $\textbullet$ For that purpose, we implemented the proposed module, and proved the efficiency and convenience.

Omnidirectional mobile robots are capable of arbitrary motion in an arbitrary direction without changing the direction of wheels, because they can perform 3 degree-of-freedom (DOF) motion on a 2-dimensional plane. In this research, a new class of an omnidirectional mobile robot is proposed. Since it has synchronously steerable omnidirectional wheels, it is called an omnidirectional mobile robot with steerable omnidirectional wheels (OMR-SOW). It has 3 DOFs in motion and one DOF in steering. One steering DOF can function as a continuously variable transmission (CVT). CVT of the OMR-SOW increases the range of velocity ratio from the wheel velocities to robot velocity, which may improve...

In steel works, Locomotives and torpedo ladle cars are used to convey the smelted iron that comes out Blast Furnace to the mill making mill. In this process, Identification of the vehicles position is very important because the area is broad and efficient operation affects a productivity and investment. At present condition, there are many ways to use to identify the vehicles number and position. This paper will present the new ways using GPS/DR based method. For this, we practiced the site test to gather the real data. First, we collect the velocity data at the wheel of the vehicles with the direction data via process computer. Second, after installing the gyroscope we gathered the data wit...

1. Introduction 2. Potential theory and Local minimum problem 3. Discrete modeling method 4. Virtual obstacle concept and extra potential function 5. Simulations 6. Conclusions

$\textbullet$ The topological map using a thinning needs much simpler computation than that using a Voronoi. $\textbullet$ A thinning can provide much information on the environment (additional nodes). $\textbullet$ Each node created in a local map is considered as temporary and redundant nodes are discarded. $\textbullet$ A global topological map can be built fast and correctly through a thinning algorithm. $\textbullet$ Path planning can be easily achieved with a topological map.

We propose a fast map-matching algorithm based on the length and the slope for the sequence of lines extracted from a laser range finder and a map. After finding two feature set from laser data and a map, the position and heading of the mobile robot can be determined exactly.

1. Introduction 2. System Configuration 3. Performance Evaluation 4. conclusion 5. Acknowledgment

We present nanoactuators and nanodetectors for high-precision Micro Electro Mechanical System (MEMS) applications. Major technical difficulties in the high-precision MEMS are arising from the fabrication uncertainty and electrical noise problems. In this paper, we present high-precision actuators and detectors, overcoming the technical limitations placed by the conventional MEMS technology. For the nano-precision actuation, we present a nonlinearly modulated digital actuator (NMDA). NMDA composed of a digital microactuator and a nonlinear micromechanical modulator. The nonlinear micromechanical modulator is intended to purify the actuation errors in the stroke of the digital a...

This paper presents adaptive add-on control algorithms for theconventional mode of operation of MEMS z-axis gyroscopes. This scheme is realized by adding an outer loop to a conventional force-balancing scheme that includes a parameter estimation algorithm. The parameter adaptation algorithm estimates the angular rate, identifies and compensates the quadrature error, and may permit on-line automatic mode tuning. The convergence and resolution analysis show that the proposed adaptive add-on control scheme prevents the angular rate estimate from being contaminated by the quadrature error, while keeping ideal resolution performance of a conventional force-balancing scheme.

In this paper, presented is a feedback control loop, for an in-plane gimbaled micro gyroscope based on methodology and state weighted model reduction technique. The micro gyroscope is the basic inertial sensors. To improve the performances such as stability, wide dynamic range, bandwidth and especially robustness, it is necessary to design a feedback control loop, which must be robust, because the manufacturing process errors can be large. Especially, to obtain wide bandwidth, the feedback controller is indispensable, because the gyroscope is high Q factor system and has small open loop bandwidth. Moreover, the feedback controller reduces the effect...

This paper presents a design and implementation of a PID feedback control loop for micro gyroscope. The feedback control loop improves the gyroscope performance such as linearity, bandwidth, and bias stability for micro gyroscope which is basically a high-Q system and exhibits a low performance with an open loop control. The designed and implemented feed-back control loop is applied to the SNU-Bosch MEMS gyroscope to demonstrate the improvement with the feedback control loop. The bandwidth is improved to 60Hz from 25Hz of open loop control. The linearity becomes 0.5% from 1%. The bias stability is improved to 0.03 deg/sec from 0.06 deg/sec.

1. Introduction 2. Vehicle Equations of Motion 3. Discrete Model of the Plant with an Unmodeled Dynamics 4. Design of an Adaptive Control 5. Parameter Adjustment Law 6. Numerical Simulations 7. Summary

This paper presents the reconfigurable flight controller in the presence of jammed actuator fault using the adaptive sliding mode control scheme. It is developed under the assumption that the control surface fault cannot be detected and the positions of stuck control surfaces are unknown. It is well known that sliding mode controller shows good performance for the systems with various uncertainties. None-operating stuck actuator makes the system behave like bias which degrades the system performance and sometimes destabilizes the system. Therefore, the bias term generated by actuator faults has to be compensated by the control system. To the objective, we adopt the adaptive sliding mode cont...

Unmanned Aerial Vehicle(UAV) needs autonomous flight capability to accomplish various mission objectives. For this objective, the autopilot is a key element in the UAV system design. The principal goal of autopilot is to guide the aircraft under varying external disturbances throughout the mission phases. The external disturbances include gravity effect, wind gust, and other unexpected obstacles. The gust affects the aircraft flight performance to a significant extent. UAV's low speed, light weight, and the absence of human judgment makes un predictable gust more dangerous. Autopilot design in general takes the gust effect into account to satisfy flight performance requirement. In this study..

This paper describes a robust landmark matching method to reduce ambiguity of candidate of landmark. General robot system acquires the candidate of landmark through vision sensor in outdoor environment. Our robot uses the omnidirectional vision system to get all around the view. Thus, the robot obtains more candidates of landmark than the conventional vision system. To obtain the candidates of landmark, robot uses the two types of feature. They are vertical edge and merged region of vertical edges. The former is to extract the vertical line of building, street lamp, etc. The latter is to reduce ambiguity of vertical edge in similar region. It is difficult to match the candidates of landmark...

The stereo correspondence of two retinal images is one of the most difficult problems in stereo vision because the reconstruction of 3-D scene is a typical visual ill-posed problem. So far there still have been many unsolved problems, one of which is to reconstruct 3-D scene for a monochromatic surface because there is no clue to make a correspondence between two retinal images. We consider this problem with two layered self-organization neural network to simulate the competitive and cooperative interaction of binocular neurons. A...

Motion estimation using Full-Search(FS) and Block-Matching Algorithm(BMA) is often used in the case of moving object tracking by vision sensors. However these methods often miss the real-time vision data because these schemes suffer the heavy computational load. When the image size of moving object is changed in an image frame according to the distance between the camera of mobile robot and the moving object, the tracking performance of a moving object may decline with these methods because of the shortage of active handling. In this paper, the variable-representative block that can reduce a lot of data computations, is defined and optimized by changing the size of representative block accor...

In this paper we deal with visual servoing that can control a robot arm with a camera using information of images only, without estimating 3D position and rotation of the robot arm. Here it is assumed that the robot arm is calibrated and the camera is uncalibrated. Here we consider two coordinate systems, the world coordinate system and the camera coordinate one and we use a pinhole camera model as the camera one. First of all, the essential notion can be show, that is, epipolar geometry, epipole, epipolar equation, and epipolar constrain. And these plays an important role in designing visual servoing in the later chapters. Statement of the problem is giver. Provided two a priori...

This paper presents a feature extraction algorithm for vision-based micromanipulation. In order to guarantee of the accurate micromanipulation, most of micromanipulation systems use vision sensor. Vision data from an optical microscope or high magnification lens have vast information, however, characteristics of micro image such as emphasized contour, texture, and noise are make it difficult to apply macro image processing algorithms to micro image. Grasping points extraction is very important task in micromanipulation because inaccurate grasping points can cause breakdown of micro gripper or miss of micro objects. To solve those problems and extract grasping points for micromanipulation...

In this paper, we present a remote control strategy for vehicles moving in an intelligent Vehicle Highway System(IVHS). We study a method for optimal off-line scheduling of a limited communication channel that is used for lead vehicle control in a platoon. The deviated distance from the desired trajectory is used for defining a cost functional that measures the performance of the system with communication constraints in relation to the desired system without communication constraints. The optimal communication sequence is obtained by simulations.

A model to predict population by sex, age and district over a long-range period is proposed based on fuzzy theories. First, a fuzzy model is described. Second, a method to estimate the social increase by sex and age in each district is proposed based on a fuzzy clustering method for dealing with long-range socioeconomic changes in population migration. By the proposed methods, it became possible to predict the population by sex, age and district over a long-range period. Third, the structure and characteristics of the three models of employment model, time distance model, and land use model constructed to predict various socioeconomic indicators, which are require...

We discuss a neural network solver for the inverse optimization problem. The problem is that find functional relations between input and output data, which are include defects. Finding the relations, predictions of the defect parts are also required. The part of finding the defects in the input data is an inverse problem . We consider the meanings to solve the problem on the neural network system at first. Next, we consider the network structure of the system, the learning scheme of the network, and at last, examine the precision on the numerical calculations. In the paper, we proposed the high-precision learning method for plural three-layer neural network system that is series-connect...

Fuzzy Neural Network (FNN) is a compulsory element in a voice-controlled machine due to its inherent capability of interpreting imprecise natural language commands. To control such a machine, user's perception of imprecise words is very important because the words' meaning is highly subjective. This paper presents a voice based controller centered on an adaptable FNN to capture the user's perception of imprecise words. Conversational interface of the machine facilitates the learning through interaction. The system consists of a dialog manager (DM), the conversational interface, a Knowledge base, which absorbs user's perception and acts as a replica of human understanding of imprecise words,...

With the research of simplified neural networks, we propose an AND/OR neural network; a kind of brief, fast network Then, we present an OCR solution that equip the network in one-chip FPGA and design it by using HDL. We selected the representative hexadecimal character as the recognition feature class and used a Feature Vector Recognition Method in the statistic pattern recognition. The result feature vector was encoded into a 7 bit array and inputted into the AND/OR network to finish learning.

1. Introduction for whole aspects. 2. Filtering for Fault Current Waveform 3. Estimation for relay operation. 4. Wavelet transform and ANN. 5. Identification for operated protection device. 6. Conclusion. Reference.

Kohonen's self organizing feature map (SOFM) converts arbitrary dimensional patterns into one or two dimensional arrays of nodes. Among the many competitive learning algorithms, SOFM proposed by Kohonen is considered to be powerful in the sense that it not only clusters the input pattern adaptively but also organize the output node topologically. SOFM is usually used for a preprocessor or cluster. It can perform dimensional reduction of input patterns and obtain a topology-preserving map that preserves neighborhood relations of the input patterns. The traditional SOFM algorithm[1] is a competitive learning neural network that maps inputs to discrete points that are called nodes on a lattice...

1. Introduction 2. Design of the Sensorized Microgripper 3. Sensing and Control of Position and Force 4. Experiments 5. Conclusions

$\textbullet$ A PC can control the fixed number of motors because the number of slots is limited. $\textbullet$ We propose a distributed motion controller using CAN. $\textbullet$ TMS320F243 of TI Which is a DSP with embedded CAN-module was used as the main processor. $\textbullet$ The command from GUI is transmitted to each motion controller through CAN-bus $\textbullet$ CAN communications may occur at a maximum recommended rate of 1Mbit/sec. $\textbullet$ The user can control more motors easily by connecting to the CAN network which has the CAN receive. $\textbullet$ This distributed motion controller may be used usefully in factory automation or an unmanned factory.

$\textbullet$ A high performance motion controller can be applied to a wider range areas. $\textbullet$ Users can easily add, delete, or modify the library functions in this motion controller $\textbullet$ users can easily create, delete, or change GUI menu in this motion controller $\textbullet$ The motion related libraries base on IEEE/NEMI low-cost open architecture controller specification. $\textbullet$ Many low-level libraries and GUI that can make users easily interface with hardware are developed. $\textbullet$ Various velocity profiles are generated for performing given tasks efficiently. $\textbullet$ The hardware of a high performance motion controller is developed with using DSP and PLD.

$\textbullet$ Introdution $\textbullet$ Robotic Suspension $\textbullet$ Vehicle Dynamics $\textbullet$ Result $\textbullet$ Conclusion

$\textbullet$ Introduction $\textbullet$ System Configuration $\textbullet$ Control System $\textbullet$ Sensor System $\textbullet$ Vision System $\textbullet$ Wireless Communication System $\textbullet$ Test and Result

$\textbullet$ KAEROT/m1 with an omni-directional planetary wheel mechanism for the narrow corridor. $\textbullet$ KAEROT/m2 can pass over the ditch with specially designed four wheel of a re-configurable crawler. $\textbullet$ Stereo imaging system with master manipulator enhancing the tele-presence. $\textbullet$ Small hybrid dosimeter detecting radiation dose and dose rate simultaneously.

This paper is concerned with the problem of designing a guaranteed cost state feedback controller for singular systems with time-varying delays. The sufficient condition for the existence of a guaranteed cost controller, the controller design method, and the optimization problem to get the upper bound of guaranteed cost function are proposed by LMI(linear matrix inequality), singular value decomposition, Schur complements, and change of variables. Since the obtained sufficient conditions can be changed to LMI form, all solutions including controller gain and upper bound of guaranteed cost function can be obtained simultaneously.

$\textbullet$ We propose a new H_infinite LPV output-feedback controller associated with a new PQLF $\textbullet$ The LPV controller employs not only the current-time but also the one-step-past information $\textbullet$ The controller is formulated with parameterized linear matrix inequalities $\textbullet$ We propose the new controller for discrete-time LPV systems $\textbullet$ As a conservative case, we suggest another controller associated with CQLF

Stability robustness of a linear time-varying system with time-varying structured state space uncertainties is considered by using extended-mean theorem and Bellman's lemma. The extended-mean theorem is a necessary and sufficient exponential stability criterion based on the recently developed PD-eigenvalue and PD-eigenvector for a linear time-varying system. Our new result required that the extended-mean of each nominal PD-eigenvalue should be negative real which is determined by a norm involving the structures of the uncertainty and the no...

This paper investigates some conditions such that zeros are added to the system with a monotone nondecreasing step response in order to hold the monotonicity as before. Two conditions are presented for the cases that a real zero and complex conjugate zeros are added to the system satisfying the monotonicity condition, respectively. To exemplify the proposed results, some simple examples via computer simulation are shown in this paper. Proposed conditions can be easily used in the control system design since they are only formulated in terms of pole-zero configurations.

We propose a concept of the S-eigenvalue(stochastic-eigenvalue) along with corresponding eigenvector, and then we define the PDF corresponding to the S-eigenvalue on a complex plane. Based on the S-eigenvalue concept, we will establish the S-stability concept for linear continuous-time systems with probabilistic uncertainties in the system matrix. These results explicitly characterize how the S-eigenvalue in the complex plane may impose S-stability on S-eigenstructure assignment. Finally, we present numerical examples to illustrate the proposed concept.

$\textbullet$ Introduction $\textbullet$ Dynamical of the quadruple-tank process $\textbullet$ H2x Integral Servo Problems $\textbullet$ Verification via Simulation $\textbullet$ Conclusions

$\textbullet$ Introduction $\textbullet$ Takagi-Sugeno Fuzzy Model and Sliding Mode Controller $\textbullet$ Observer and Controller Design $\textbullet$ Simulations $\textbullet$ References

$\textbullet$ Uncertainties are described by sum quadratic constraint(SQC) $\textbullet$ SQC is converted into an indefinite quadratic cost function $\textbullet$ A Kalman filter developed in indefinite inner product space is Krein space Kalman filter $\textbullet$ To minimize the SQC, the Krein space Kalman filter is used $\textbullet$ The proposed robust filter outperforms the standard Kalman filter and existing robust Kalman filter $\textbullet$ The proposed filter has the same recursive, simple structure as the standard Kalman filter $\textbullet$ Easy to design, adequate for on-line implementation

$\textbullet$ In this paper, a new method of estimating the rotor speed and flux is proposed. $\textbullet$ The stator currents and voltages are measurable and all the system parameters are known. $\textbullet$ There are a number of common terms in the error dynamics. $\textbullet$ This is utilized to find a simpler error model involving some auxiliary variables. $\textbullet$ Using this error model, the state estimation problem is converted into a parameter estimation prob. $\textbullet$ Some stability properties are given on the basis of Lyapunov analysis. $\textbullet$ The effectiveness of the proposed scheme is demonstrated through simulations and experiments.

In EIT, an array of disjoint electrodes is attached on the boundary of the object and a set of small alternating electrical currents is injected into the object through these electrodes, and then the corresponding set of voltages is measured on the same array of the electrodes. The objective in EIT is to estimate the resistivity distribution inside the object based on the set of measured voltages and injected currents. In this paper, we proposed a new dynamic EIT reconstruction scheme based on the interacting multiple model (IMM) algorithm. The main contribution of the proposed scheme is that multiple models are employed for the state evolution to get around the modeling uncertainty. Extensi...

In this paper, a quasi-deadbeat minimax estimation (QME) is proposed as a new class of time-domain parameter estimations for deterministic generic linear models. Linearity, quasi-deadbeat property, FIR structure, and independency of the initial parameter information will be required in advance, in addition to a new performance criterion of a worst case gain between the disturbances and the current estimation error. The proposed QME is obtained in a closed form by directly solving an optimization problem. The QME is represented in both a batch form and an iterative form. A fast algorithm for the suggested estimation is also presented, which is remarkable in view...

In this paper, a novel optimization algorithm which searches for the local minima of a given cost function is proposed using the familiar property of a binary string, and is applied to the parametric identification of a continuous-time state equation by the estimation of system parameters as well as initial state values. A simple electrical circuit severs as an example, whose precise identification results show the superiority of the proposed algorithm.

$\textbullet$ Abstract $\textbullet$ Introduction $\textbullet$ Liquid Level Control System $\textbullet$ Flow Ratio Control System $\textbullet$ Application of Lookup Table Technique $\textbullet$ Experimental Results $\textbullet$ Conclusion

Plasma processing plays a crucial role in fabricating integrated circuits (ICs). Manufacturing ICs in a cost effective way, it is increasingly demanded a computer model that predicts plasma properties to unknown process inputs. Physical models are limited in the prediction accuracy since they are subject to many assumptions. Expensive computation time is another hindrance that prevents their widespread used in manufacturing site. To circumvent these difficulties inherent in physical models, neural networks have been used to learn nonlinear plasma data [1]. Among many types of networks, a backpropagation neural network (BPNN) is the most widely used architecture. Many training variables are...

Most of the process control algorithms in practice are based on the finite dimensional control theory. However, many chemical processes are described by partial differential equations (PDE's) and are infinite dimensional in nature due to spatial variation. Especially when the convection is dominant and thus diffusion can be ignored, chemical processes that are described by a system of first order hyperbolic PDE's. Such processes include tubular reactors, fixed bed reactors and pressure swinging adsorption. Conventionally such infinite dimensional systems described by PDE's are controlled by finite dimensional controllers that are designed through finite dimensional reduction of the process m...

This study was motivated how it might be possible to validate structured sampling with orthogonal array for optimal design of a pin. The Taguchi method by orthogonal array, one of the structured sampling methods, has much advantage that is row cost and time saving for experiments. But this method has been applied in limited areas especially for mechanical problems. In this study, we experimented whether the structured sampling is useful for applying optimal design of mechanical elements. For the experiment, we first set up a mechanical problem which was related to determining optimal parameters associated a pin's crack occurred inside a hole. We, then, calculated combination of...

As device dimension shrinks down to sub 100nm, it is increasingly important to monitor plasma states. Plasma etching is a key means to fine patterning of thin films. Many parameters are involved in etching and each parameter has different impact on process performances, including etch rate and profile. The uniformity of etch responses should be maintained high to improve device yield and throughput. The uniformity can be measured on any etch response. The most difficulty arises when attempting to characterize etched profile. Conventionally, the profile has been estimated by measuring the slope or angle of etched pattern. One critical drawback in this measurement is that this is unable to cap...

$\textbullet$ Contents 1 Introduction $\textbullet$ Contents 2 Fuzzy System Modeling $\textbullet$ Contents 3 Augmented Fuzzy System $\textbullet$ Contents 4 Indirect Fuzzy Controller $\textbullet$ Contents 5 System Stability $\textbullet$ Contents 6 Experimental Results $\textbullet$ Contents 7 Conclusion

$\textbullet$ Introduction $\textbullet$ Genetic Algorithm $\textbullet$ Optimal Control $\textbullet$ Simulation $\textbullet$ Conclusion

$\textbullet$ Introduction of aviation navigation $\textbullet$ Integrated navigation algorithm $\textbullet$ Description of hardware system $\textbullet$ Ground test $\textbullet$ Flight test $\textbullet$ Conclusion

1. Introduction 2. Dynamics of the lunar-lander 3. Nonlinear tracking control 4. Numerical simulation 5. Conclusions

$\textbullet$ Introduction of UAV Helicopter $\textbullet$ System Specification $\textbullet$ Dynamics of Small EP Helicopter $\textbullet$ Construction of Electrical System $\textbullet$ LQG Control Law $\textbullet$ Simulations $\textbullet$ Results and Analysis

Some integration methods for the linear subsystems are examined and which algorithm is optimal for real-time simulation is considered. First, a number of typical integration methods for a linear time-invariant system are given. Then, the dynamic errors are shown both from the point of view of characteristic root errors and transfer function errors. After that we compute the dynamic errors of integration and choose the appropriate method for each system.

UAV(Unmanned Aerial Vehicle) has become one of the most popular military/commercial aerial robots in the new millenium. In spite of all the advantages that UAVs inherently have, it is not an easy job to develop a UAV because it requires very systematic and complete approaches in full development envelop. The ground test & evaluation phase has the utmost importance in the sense that a well developed system can be best verified on the ground. In addition, many of the aircraft crashes in the flight tests were resulted from the incomplete development procedure. In this research, a verification procedure of the whole airborne integrated system was conducted including the flight management sys...

The method of endowing the controller with the strengthened robustness within the boundary layer is presented for controlling the uncertain nonlinear systems in which the variations of the uncertainties are slow. From this controller, the width of the boundary layer where the robust control input is smoothened out can be given by an appropriate value but a better control performance within the boundary layer can be achieved without the control chattering because the role of adaptive control is to compensate for the uncovered portions of the robust control occurred from the continuous approximation within the boundary layer.

This paper presents an integrated sliding mode adaptive control scheme for general nonlinear uncertain systems, where structured uncertainty is assumed can be linearly parameterized and unstructured uncertainty is assumed be bounded by unknown constant A certain estimation scheme for this unknown constant is introduced to attenuate the unstructured uncertainty. Presented control scheme is shown to be stable and numerical expressions of bounds of all error signals are given, from which we can acquire some useful information about practical trade-off between tracking performance and parameter estimation property.

1) Linear state feedback control design problem for plant with unknown deterministic disturbance is considered and a method to realize state feedback by using adaptive observer which estimates the unknown disturbance simultaneously is proposed. 2) From the viewpoint of practical application, we propose an extended adaptive observer with direct plant path from input to output, which is necessary to use the acceleration type sensors as plant output. 3) Theoretical result is confirmed by numerical simulation of 1-DOF vibration control system.

1) A method to realize active vibration control using SAC and acceleration type sensor is proposed from the viewpoint of practical application. 2) The use of acceleration type sensor makes it easy to satisfy ASPR condition in applying SAC system and to implement sensor in practical mechanical system. 3) Results were confirmed through numerical simulation of 1 DOF vibration system.

$\textbullet$ Contents 1 Introduction $\textbullet$ Contents 2 Crane Description $\textbullet$ Contents 3 Self-tuning Controller Design $\textbullet$ Contents 4 Result of Experiments $\textbullet$ Contents 5 Conclusions $\textbullet$ Contents 6 References

in this paper, each methodology, e.g. normal single PID controller, direct synthesis method and inverse response compensator, will be compared to determine the best inverse response plant control method, by based on the appearance of the control performance and robustness from the simulation results. The flexibility of being able to maintain the system stability during the presence of plant model mismatch is one of the criteria to measure the robustness of overall control system. Once, plant has changed the condition, the model will need to be updated. Hence, the designed controller will not work properly. The caused of plant model mismatch is stayed by definition unknown but the most possib...

$\textbullet$ Intelligent Space 1. Optimal Camera Arrangement 2. People Tracking 3. Physical Robot 4. Robot Control 5. People Following Robot $\textbullet$ Initial stage for making high-level human robot interaction. http://dfs.iis.u-tokyo.ac.jp/∼leejooho/ispace/.

This paper describes the configuration of a multi-agent system that can recognize human intentions. This system constructs ontologies of human intentions and enables knowledge acquisition and sharing between intelligent agents operating in different environments. This is achieved by using a bi-directional associative memory network. The process of intention recognition is based on fuzzy association inferences. This paper shows the process of information sharing by using ontologies. The purpose of this research is to create human-centered systems that can provide a natural interface in their interaction with people.

$\textbullet$ Surface Acoustic Wave $\textbullet$ Tactile Display Principle $\textbullet$ Installed on PC Mouse Button $\textbullet$ Vibration Measurement $\textbullet$ Demonstration on PC Screen $\textbullet$ Comparison Tests

$\textbullet$ Introduction $\textbullet$ Seal Robot: Paro $\textbullet$ Placebo Seal Robot $\textbullet$ Health Service Facility for Aged $\textbullet$ Robot Assisted Activity $\textbullet$ Discussions $\textbullet$ Conclusion

$\textbullet$ Developing "muscle shit" providing muscular support $\textbullet$ Based on a new concept: wearable robot $\textbullet$ Be applicable directly to human $\textbullet$ McKibben artificial muscles are sewn into a garment

1. Introduction 2. Reduced-Order Model of Robot System 3. Model-Based Control 4. Simulation Results 5. Experimental Results and Considerations 6. Conclusions

Our living spaces are becoming increasingly populated with infinite numbers of intelligent embedded agents we are interacting with. in ubiquitous computing environments the aim is to support the occupants during their everyday lives and enhance their living conditions. In this paper we introduce such an environment, the iDorm, which has arisen from our work in careAgents, a project supported by the UK-Korean S&T collaboration fund and the EU's Disappearing Computer Initiative eGadgets project We discuss the research challenges involved, particularly those relating to intelligently associating and configuring large numbers of embedded agents. The paper presents an intelligent association sys...

$\textbullet$ Definition of TeleCare $\textbullet$ Motivations behind Internet TeleCare with Robots $\textbullet$ Framework of Robot Operation Management $\textbullet$ Database Structure $\textbullet$ Chat Room Conference $\textbullet$ Remote Robot Control by Softswitch $\textbullet$ Experimental Results and Conclusion

In this paper, we propose a method using neural network (NN) to improve the motion control of a decentralized control system for cooperative transportation. In our former work, a decentralized control system for transporting a single object by multiple nonholonomic mobile robots has been developed. One of these mobile robots acts as a leader, who is assumed to be able to plan and to manipulate the omnidirectional motion of the object. Other robots, referred to as followers, cooperatively transport the object by keeping a constant position relative to the object. in this work, it is assumed that the leader can not only plan but also broadcast the local velocity of the object. Then...

In this paper, the relationship between a slave robot and the uncertain remote environment is modeled as the impedance to generate the virtual force to feed back to the operator. For the control of a teleoperated mobile robot equipped with camera, the teleoperated mobile robot take pictures of remote environment and sends the visual information back to the operator over the Internet. Because of the limitation of communication bandwidth and narrow view-angles of camera, it is not possible to watch the environment clearly, especially shadow and curved areas. To overcome this problem, the virtual force is generated according to both the distance between the obstacle and robot and the approachin...

$\textbullet$ Introduction $\textbullet$ Vision-Based Motion Capture $\textbullet$ Extracting 2D features $\textbullet$ 3D Reconstruction $\textbullet$ UI for VR $\textbullet$ Conclusion

$\textbullet$ Introduction $\textbullet$ Simulator Architecture $\textbullet$ Navigation and Collision Detection $\textbullet$ Deformable Model and Force Reflection $\textbullet$ 4-DOF Haptic Device $\textbullet$ Conclusion

3D sound user often finds the results that the sound image appear to originate either inside, or close to, the head when he uses headphone-based binaural system. This phenomenon is called in-head localization(IHL). The main factors were chosen to evaluate externalization performance : individualized HRTFs, near-field HRTF characteristics and reverberation. Direct comparison was conducted among them, especially two factors\ulcorner reverberation and near-field HRTFs.

$\textbullet$ A noval haptic mouse system is developed for human computer interface. $\textbullet$ Five bar mechanism is adapted for 2 dof force feedback with virtual environment. $\textbullet$ Double prismatic joint type mechanism is adapted to reflect 1 dof grabbing force feedback. $\textbullet$ Cable driven mechansim is used for actuation to reduce backlash and endow backdrivability. $\textbullet$ Virtual wall perception experiment is conducted to obtain force specification for haptic mouse. $\textbullet$ Average mouse workspace is measured using magnetic position tracker.

In this paper, we propose and developed a keyglove using the touch-typing method as new solutions to the problem of text input into the mobile computing devices. This device recognizes that character is typed in though the hand's movements analysis and requires no additional space on a person's desktop or work surface, and can be easily used with computers of any size, even the smallest mobile computer, and is designed as an input device for wearable computers and virtual environment. The concept of the wearable input device based on human hand-molies recognition.

Young Sam Lee : He is currently a PhD candidate student. His research interest includes time-delay systems, signal processing, and receding horizon control. Wook Hyun Kwon : His research interest includes time-delay systems, signal processing, receding horizon control, and robust control. He is the president of IFAC 2008 which is to be held in Korea. Soo Hee Han : He is currently a PhD candidate student. His research interest includes time-delay systems, signal processing, receding horizon control, and communication.

In this paper we consider an approach to a formal linearization for time-variant nonlinear systems. A time-variant nonlinear sysetm is assumed to be described by a time-variant nonlinear differential equation. For this system, we introduce a coordinate transformation function which is composed of the Chebyshev polynomials. Using Chebyshev expansion to the state variable and Laguerre expansion to the time variable, the time-variant nonlinear sysetm is transformed into the time-variant linear one with respect to the above transformation function. As an application, we synthesize a time-variant nonlinear observer. Numerical experiments are included to demonstrate the validity of...

Natural frequencies and mode shapes are two important modal data which specify the system. If the real system and FE model don't have the same local physical parameters, there will be a difference between modal data from real system and FE model. Because there is little difference in displacement mode shapes measured by an accelerometer, displacement modal update based on mode shapes including measurement errors may not be successful. In this research, strain mode shapes are used as modal data because the strain mode shapes measured by strain gauges are more sensitive than the displacement mode shapes with respect to the change of the parameters concerned in FE stiffness matrix...

$\textbullet$ Introduction $\textbullet$ Wiener system identification problem $\textbullet$ Identification method $\textbullet$ Simulation $\textbullet$ Conclusions $\textbullet$ References

In this paper, we develop analysis models for classification of temporal data from human subjects. The study focuses on the analysis of electroencephalogram (EEG) signals obtained during various emotional states. We demonstrate a generally applicable method of removing EOG and EMG artifacts from EEGs based on independent component analysis (ICA). All EEG channel maps were interpolated from 10 EEG subbands. ICA methods are based on the assumptions that the signals recorded on the scalp are mixtures of signals from independent cerebral and artifactual sources, that potentials arising from different parts of the brain, scalp and body are summed linearly at the electrodes and that prop...

The method of identifying the plant models in this paper is the Observer Kalman filter identification (OKID) method. This method of system identification has several pertinent advantages. First, it assumes that the system in question is a discrete linear time-invariant (LTI) state-space system. Second, it requires only input and output data to formulate the model, no a priori knowledge of the system is needed. Third, the OKID method produces a psudo-Kalman state estimator, which is very useful for control applications. Last, the modal balanced realization of the system model means that tuncation errors will be small. Thus, even in the case of model order error the results of that error will...

$\textbullet$ Contents 1. Introduction $\textbullet$ Contents 2. Error Models of Navigation $\textbullet$ Contents 3. Observablity Properties of GPS/INS $\textbullet$ Contents 4. Measurement System for INS Error Estimation $\textbullet$ Contents 5. Numerical Simulation Results $\textbullet$ Contents 6. Conclusions

NARO Space Center is being developed as a national project for the Korea Space Development Program. Among the major missions of the Space Center, the Range Control System is the focal point for all command and control operation of the Space Center. The acquired data from the Tracking Stations and the on-site facilities is processed and distributed in the Control Center. Data processing or data fusion is needed for the exact tracking of the Launch Vehicle from several tracking systems. The first phase, which is the best telemetry source is selected among data streams that are received from each telemetry stations using some pre-defined criterion. Trajectory data and major telemetry parameters...

1. Introdition : The necessity of DGPS data compensation. 2. Configuration of the GPS and coordinates conversion 2-1. Coordinates conversion of CCD 3. Vehicle Model and Evaluation 4. Accurate error position algorithm. 5. Experiment and result. 6. Conclusion: It was possible that we converted the CCD data into the GPS coordinates data.

In this paper, we implemented the FIPA-OS framework bundle and service agent bundle over the OSGi service platform in home-sewer platform. The FIPA-OS is the first open source implementation of the FIPA standards and is a component-based toolkit implemented in Java. The FIPA-OS bundle is composed of two bundles. One is the communication bundle such as RMI, IIOP, HTTP and ACC. Another is the agent loader bundle. Experiments are conducted on the service agent communication and loading by the agent loader bundle, and the proposed bundles are successfully installed, stopped, and uninstalled over the OSGi service platform.

1. Introduction 2. PCI Local Bus Specification Abstract 3. Design Embedded PCI Local Bus 4. Simulation Results 5. DAS Application Design Methodology 6. Conclusion

$\textbullet$ Present a new stability analysis method of NCSs $\textbullet$ Propose the stability condition of NCSs with dynamic controller $\textbullet$ Find the stability region where NCSs for power system are guaranteed to be stable $\textbullet$ Determine a proper sampling period of NCSs that preserves desired stability performance $\textbullet$ Experiment : NCSs for power system using CAN.

1. Introduction 2. Related Work 3. Secure Data Transmission on web-based monitoring and control System 3.1 Requirement facts with the Security for the Secure Data Transmission 3.2 Architecture for the Secure Data Transmission 4. Conclusions and Further Research

Robots are widely used for welding automation in the shipbuilding industry. Because of the distinguishing mark of the shipbuilding, many robots conduct each other welding jobs at a point of time. The manager/operator stay in a place apart from working site for safety reason, but need to observe the progress of work and the status of robots. On this account, the monitoring system for welding robots has become essential. We developed a monitoring system by which, many people can monitor robot's status simultaneously at separated locations through the web. The monitoring system consists of Server and Client, where the server keep connection to robots and deliver client's request to robots and cli...

$\textbullet$ Introduction $\textbullet$ Token Passing Protocol : Profibus-FMS $\textbullet$ Performance Model of Profibus Token Passing Protocol $\textbullet$ Calculation of Communication Delay in Performance Model $\textbullet$ Summaries and Conclusions

1.Introduction 2. Channel Equalizer Using Adaptive Neural Network 3. Data Modulation and Demodulation Using Haar Transform 4. Binary Signal Transmission Using Haar Transform 5. Conclusion

1. Introduction II. Internet Telephony III. Proposed method for quality of service IV. Simulation V. Conclusion

1. Introduction 2. The Netwoked Control System Description 2.1 A close-loop system with the network induced delay 2.2 Discretization and State Augmentation of NCS 3. Delay-dependent H_infinity Controller Design for NCS 4. Numerical Example 5. Conclusion

In the era of home automation, we need more context-aware and intelligent service applications than before. For these applications, a service gateway as a platform is required to bridge the gap between external data networks to internal home networks. Also, the sonics gateway enables customers to receive new classes of home services. The OSGi service platform is a good solution for the service gateway since it can deliver new applications dynamically from a broader network. In the near future, every home will be equipped with a residential gateway powered by the OSGi, and will demand value-added service applications, such as home security monitoring and safety alerts. In this pa...

$\textbullet$ Introduction $\textbullet$ TCP/IP over IEEE1394 $\textbullet$ Modified TCP/IP $\textbullet$ Implementation and Evaluation $\textbullet$ Conclusions

1. Introduction 2. Trends in Home Automation 3. Elementary Technologies 4. Fuctional Requirements 5. A Design of Network-based Home Automation System 6. Concluding Remark

In the semiconductor fabrication, particle contamination is wide-spread and one of major causes to yield loss. Extensive testing has revealed that even careful handling of wafers during processing may cause photo-resist materials to flake off wafer edges. So, to remove the photo-resist at the outer 5mm of wafers, UV(Ultraviolet) rays are exposed. WEE (Wafer Edge Exposure) process station is the system that exposes the wafer edge as prespecified by controlling the positioning mechanism and maintaining the light intensity level In this work, WEE process station has been designed so as to significantly lower the amount of particle contamination which occurs even during the most r...

Huafei Liao is a graduate student of the Automation department in Tsinghua University, China. His research involves computer-aided process planning, 3D CAD/CAM, virtual reality, and feature recognition.

$\textbullet$ Introduction $\textbullet$ Constitution and equipment of AMHS $\textbullet$ Discussion about Using Stocker $\textbullet$ Ahead developed 300mm stockers $\textbullet$ 300mm Stocker Solution-Modular Stocker $\textbullet$ Conclusion

A dye process of textile industry is important part that finally gives required quality to the textile material. To produce a proper dye for the customers, color management that precise color measurement from original color sample and rapid estimation of corresponding color recipe is most essential. In the practical dye manufacturing process, color management falls into two categories. First one is color management with an expert knowledge of colorist, the other one is computer aided way. In the former management way, color management fully depends on colorists' expert without support of the measurement and computational devices. Objective color management is impossible in this way. The...

For the weld quality improvement and the convenient operation of machines, laser vision system can be used to track weld seams on pressure vessels. There are many bad conditions to the weld grooves such as cutting error, gap variation of weld joint, and offset error of center line caused by misalignment. We developed a laser vision seam tracking system which consists of a laser vision sensor, a two axis positioning mechanism and a user interface program running on the Windows system. It was found that our system worked well for U, V and X shaped grooves. We used an industrial PC as the system controller to secure immunity to electrical noise and dust. We introduce here a simple and...

1. Introduction 2. LonWorks 3. Experiment 4. Conclusion

This paper studies on the feedback linearization of the looper system for hot strip mills, where the looper system plays an important role in regulating the strip tension. Firstly, nonlinear dynamic equations of the looper system are simply introduced. Secondly, using the static feedback linearization algorithm, a linear model of the looper system is obtained, of which usefulness is validated from comparison between the linear model and the nonlinear model, and design of LQI(Linear Ouadratic Integral optimal control) and ILQ (Inverse Linear Quadratic optimal control) looper control systems. In result, it is shown that the linear looper model by the feedback linearization well describes nonlin...

1. Introduction 2. Process description 2.1 Process description 2.2 Assumption 3. Mathematical model 3.1 MILP model for cintinuous part 3.2 LP model for batch part 4. Exapmles and Results 5. Conclusion. Acknowledgement. Reference.

$\textbullet$ This system executes the algorithm that makes the various types of shape to the flat shape. $\textbullet$ In old system, we could not develop and test the new shape control algorithms $\textbullet$ We developed the PC based cold mill shape control system. $\textbullet$ It can be added on the new shape control algorithm and is cost-effective and maintained easily. $\textbullet$ The shape control system consists of the shape controller, the MMI system and the Shape data sewer.

1. Introduction 2. Dynamics of Aircraft Landing 3. ABS Control Unit 4. Test 5. Conclusions

1. Introduction 2. General flux balance model 3. MetaFluxNet 3.1 Overview of MetaFluxNet 3.2 Project file format 3.3 Construction of metabolite reaction model 3.4 Metabolic flux analysis using linear programming 3.5 Visualization of MFA results 4. Conclusion and plan 5. Acknowledgement. References.

$\textbullet$ Image segmentation is an essential technique of image analysis. In spite of the traditional issues in contour initialization and boundary concavities, active contour models(snakes) are popular and known as successful methods for segmentation. $\textbullet$ We could find in experiment that snake using Gaussian External Force is fast in time but low in accuracy and snake using Gradient Vector Flow by Chenyang Xu and Jerry L. Prince is high in accuracy but slow in time. $\textbullet$ In this paper, we presented a new active contour model, GGF snake, for segmentation of endoscopic image. Proposed GGF snake made up for the defects of the traditional snakes in contour initialization and boundary...

$\textbullet$ Introduction $\textbullet$ Configuration of the ENG System $\textbullet$ Calibration of ENG system $\textbullet$ Algorithm $\textbullet$ Experiment and result $\textbullet$ Conculsion

Recently, the seriousness of the high blood pressure appearing in the whole world as well as Korea. Therefore, the methods to treat this disease proposing. For exam pie, there are the medicinal therapy and the dietetic treatment, etc. But these are uncertain and produce an adverse reaction. Thereupon, we studied effectively and financially to execute the treatment of the high blood pressure based on oriental medicine. Oriental medicine includes many treatments. We used Meridian Theory, the Meridian point, and Acupuncture that are a part of oriental medicine and treatments. And actualizing the above explained treatment into electronic technique, we produced the same effect without the help of...

. Contents 1 : Abstract and Introduction . Contents 2 : Choose the weighting function . Contents 3 : H-infini Optimization and Simulation . Contents 4 : Conclusion and Reference

1. Introduction 2. System description and preliminaries 3. Controller Design 4. Conclusion 5. References

$\textbullet$ Contents 1: Preliminaries on passivity and feedback passivity $\textbullet$ Contents 2: Assumptions in the paper $\textbullet$ Contents 3: Adaptive output feedback controllers $\textbullet$ Contents 4: Adaptive disturbance attenuation $\textbullet$ Contents 5: Adaptive passification $\textbullet$ Contents 6: An illustrative numerical example

$\textbullet$ Introduction-Previous results and motivation of this paper $\textbullet$ Problem Statements-The system considered and the objective of this paper $\textbullet$ Main Results-The Sufficient Condition for 8 delayed feedback non-fragile H_inf control $\textbullet$ Numerical Example-The effectiveness of the proposed method $\textbullet$ Conclusion

In this paper, we present a robust controller design method that can not only deal with the constant time delay plant but also an uncertain time delay one. For a constant time delay plant. The proposed DTC can independently adjust the set response and the disturbance response without any stability constraint. And in the uncertain time delay case, one can process the control design step with uncertainty norm bound. To verify real effectiveness, theoretical analysis and simulation results are given.

$\textbullet$ An experiment for the active vibration control of a cantilever beam is performed. $\textbullet$ An active damping system consisting of a laser sensor and an electromagnetic actuator. $\textbullet$ The design procedure and the performance analysis of an H2 controller for non-collocated systems. $\textbullet$ Simulations and experiments are performed to verify the performances of the controller. $\textbullet$ The optimal H2 controller is designed based on a reduced order model. $\textbullet$The Sensitivity function is introduced to analyze the Spillover phenomenon. $\textbullet$ Active vibration control, Cantilever beam, H2 controller, spillover, Non-collocated system.

. an output feedback stabilizing controller for non-minimum phase nonlinear systems . Assumption 1 : the Jacobi linearization of the given nonlinear linear system is controllable . Assumption 2: an appropriate transformation which transforms the zero dynamics into a special form . Assumption 3: the system satisfies the observability rank condition . Augmentation of systems by augmented by a chain of integrators

$\textbullet$ Contents 1: Introduction to nonlinear crane model $\textbullet$ Contents 2: Passivity of the crane model $\textbullet$ Contents 3: PD-Control based on the passivity $\textbullet$ Contents 4: Global regulation of the system without the velocity measurement $\textbullet$ Contents 5: Simulation studies for the performance test

1. Introduction 2. The Localized Aerosol Hyperthermia 3. Hardware Development of a Heated Vapor Inhalator 4. Modeling of the Control System 5. The Design of LQG/LTR Controller 6. Conclusion

Nonlinear adaptive control for the laboratory pressure-flow model. Control valves are installed on both sides. The pressure and the outlet flow rate are measured. The pressure and outlet flow rate are controlled variables and the control valve stem positions on both sides are the manipulated variables. The variation in both inputs will influence both controlled variables. The control performance is good, in spite of varying valve coefficients of inlet and outlet.

$\textbullet$ Introduction $\textbullet$ Bilinear system model $\textbullet$ Design of sliding control and stability analysis $\textbullet$ Design of proposed controller $\textbullet$ Simulations $\textbullet$ Conclusions $\textbullet$ References

$\textbullet$ Introduction $\textbullet$ Modeling of a Piezoelectric Actuator $\textbullet$ Inverse Hysteresis Modeling and Linearization $\textbullet$ Controller Design: PID plus Repetitive Controller $\textbullet$ Simulation Results $\textbullet$ Conclusion

1. Introduction 2. System Defin 3. Stability Region in Specified Circle of Unstructured Time Invariant Perturbation 4. Example 5. Conclusion 6. References

$\textbullet$ Introduction $\textbullet$ Dynamics of robotic manipulator $\textbullet$ Time-varying sliding surface $\textbullet$ Fuzzy rule, Membership function $\textbullet$ Application to a two degree robotic manipulator $\textbullet$ Conclusion

$\textbullet$ Abstract $\textbullet$ Introduction $\textbullet$ Genetic Algorithm $\textbullet$ Evolutionary structure optimization of PNN $\textbullet$ Simulation result $\textbullet$ Conclusion $\textbullet$ References

Introduction $\textbullet$ Simple PD-type Fuzzy Controller $\textbullet$ Simple PD+l-type fuzzy controller design $\textbullet$ Simulation $\textbullet$ Conclusion $\textbullet$ References

1. Introduction 2. Development of the Proposed Identification Method 2.1 MlMO Hammerstein nonlinear process 2.2 Process activation 2.3 Identification of the linear dynamic subsystem 2.4 Identification of the nonlinear static function 3. Simulation Study 4. Conclusion. Acknowledgment. References

In these days, Block Pulse functions are used in a variety of fields such as the analysis and controller design of the systems. In applying the Block Pulse function technique to control and systems science, the integral operation of the Block Pulse series plays important roles. This is because differential equations are always involved in the representations of continuous-time models of dynamic systems, and differential operations are always approximated by the corresponding Block Pulse series through integration operational matrices. In order to apply the Block Pulse function technique to the problems of continuous-time dynamic systems more efficiently, it is necessary to find th...

$\textbullet$ INTRODUCTION $\textbullet$ MATHEMATICAL MODEL OF EXCAVATOR $\textbullet$ H_INF CONTROLLER BASED ON DISTURBANCE OBSERVER $\textbullet$ SIMULATION RESULTS $\textbullet$ CONCLUSION

1. Introduction 2. System description and preliminary results 3. SMC robust to mismatched uncertainties 4. Simulation results 5. Conclusions

In this paper, we proposed a control technique that can be applied to various processes. The most of the process can bereduced to second order plus time delay (SOPTD) model. And we proposed improved model reduction algorithm using geneticalgorithm. This method considered four points to reduce the error between original model and reduced model in the Nyquistcurve. And, to compensate time delay, the Smith predictor plus PID controller is adopted. And a new PID tuning algorithm wasproposed, which got from numerical analysis and can be obtained the optimal performance. The PID parameters are obtainedfrom the coefficients and time delay of reduced model. The simulation results show the validity.

$\textbullet$ Contents 1. Introduction $\textbullet$ Contents 2. System Description $\textbullet$ Contents 3. Decoupled Sliding Mde Control $\textbullet$ Contents 4. Decoupled Adaptive Fuzzy Sliding Mode Control through width adaptation $\textbullet$ Contents 5. Simulation Result $\textbullet$ Contents 6. Conclusion

The main purpose of this paper is to identify the important parameters and to examine their relations to one another while gantry crane structure was modeled. The important elements of the structural analysis are included, such as the stiffness matrix and its relations to the degrees of freedom, the displacement, and frequency responses. To investigate these relations, the parametric modeling of a dynamic system is solved by using the finite element method (ANSYS-Program). Furthermore, EXPRESS schema and C-FAR (change favorable representation) are described how to change the frame length of gantry crane which influences other elements. Since this relationship is established, the results may...

$\textbullet$ Introduction $\textbullet$ Problem Formulation $\textbullet$ Feedback Linearizing Controller Design $\textbullet$ Fuzzy System to Cancel System Uncertainty $\textbullet$ Adatptive Fuzzy Sliding Mode Controller Design $\textbullet$ Simulations $\textbullet$ Conclusions

In this work a new design approach of nonlinear control is presented based on a extended observer for the estimation and compensation on a dynamics system and the estimates are compared to the effects from neual nets. Simulation's results show that this method tells a good alternative to the standard ways.

● Introduction ● System Identification ● PD Controller Design ● Verifying the Model & Simulation ● Experiment for Attitude Control ● Results ● Conculsions

1. Introduction 2. Two Part Simulation 3. Network Induced Delay 4. Plant and Control 5. Simulation 6. Conclusion

$\textbullet$ Closed System Identification for inherently unstable systems $\textbullet$ Application of Observer/controller Identification (OCID) algorithm to those systems $\textbullet$ An open-loop system model with corresponding controller and observer gains are identified using OCID $\textbullet$ Experimental example of the OCID algorithm for an inverted pendulum system operating in closed-loop $\textbullet$ Modal analysis and time response to the added distrubance are presented to evaluate the performance of the OCID algorithm.

In this paper, we are concerned with a maneuver detection algorithm which uses the 'lost' measurements down-sampled for computation load saving when a target is in quiescent motion. In general applications of estimation, measurements are available at a relatively high rate, while the estimation processing equipment can only operate at a lower sampling rate. Furthermore, when a target is in nearly quiescent motion, the update of the tracking filter need not to be implemented with maxim urn process power of the filter since the states of the target vary relatively slowly. This does not give serious degradation on the estimation performance. We consider the maneuver detection problem at the case...

The technique of backstepping have can avoid cancellations of useful nonlinearities. It is widely used in nonlinear adaptive control. But it is difficult to use this technique for uncertain nonlinear systems. Sliding mode control has robustness and application with feedback linearization. This paper shows that the robustness can be used for back stopping technique to solve the uncertainty problem and to improve the scalar design problem using Control Lyapunov function which is the motivation of back stepping technique with recursive design for high-order systems. In the respect of SMC, the result of this paper does not need to satisfy the matching condition.

$\textbullet$ Introduction $\textbullet$ CRA method for transient response control $\textbullet$ Benchmark problem and specifications $\textbullet$ Controller design using CRA method $\textbullet$ Concluding Remark

Contents 1. Introduction $\textbullet$ Contents 2. System description $\textbullet$ Contents 3. Desired feedback control and function approximation $\textbullet$ Contents 4. Robust adaptive controller design $\textbullet$ Contents 5. Simulation study $\textbullet$ Contents 6. Conclusion

$\textbullet$ Introduction to 3-Dimensional Nanorobotic Manipulation System $\textbullet$ Concept Design and Operating Principle $\textbullet$ Analytic Model for target System $\textbullet$ Fabrication and Experimental Setup of 3-DOF Mobile Microrobot $\textbullet$ Experimental Works or 3-DOF Mobile Microrobot

$\textbullet$ Contents 1 Introduction $\textbullet$ Contents 2 Problem Statement $\textbullet$ Contents 3 Adaptive Output Feedback Control Design $\textbullet$ Contents 4 Stability analysis $\textbullet$ Contents 5 Simulation Result $\textbullet$ Contents 6 Conclusions

This paper concerns a new digital redesign (DR) technique for an observer-based output-feedback control (OBOFC) system. The term DR involves converting an analog controller into an equivalent digital one in the sense of state-matching. The considered DR problem is formulated as convex minimization problems of the norm distances between linear operators to be matched. The stability condition is easily embedded and the separation principle on the DR of the OBOFC is explicitly shown. A numerical example is included for visualizing the feasibility of the proposed technique.

This paper presents a procedure of implementing a robust controller for a paper-making plant in DCSs. A paper-making process generally has triple problems to automatically tune its output qualities : Long transport delays which are not able to be simply linearized. The transfer matrix of the process is not square. And every plant model has some uncertainty in low and middle frequency region. To tackle these problems, a multi-input / multi-output (MIMO) plant model having some uncertainty was derived by considering some physical and mechanical principles of the process. Then a MIMO robust \ulcornercontroller is designed and implemented in a real DCS as function block type. Som...

Recently, increased accessibility to the Internet makes it possible to access to Internet-connected devices easily. For this reason, anyone can reach and command any device that is connected to the network. But these teleoperation systems have several problems like the network time delay, data loss and development cost of an application for communication with each other. The network time delay phenomenon is the most important in teleoperation system, which disturbs a real time control. The loss data also causes some users not to send correct commands to device or not to receive correct information from devices. To develop an application to communicate between user and device, it needs a comp..

This paper is concerned with the accurate position control of a rodless pneumatic cylinder using On/Off solenoid valve. A novel Intelligent Modified Pulse Width Modulation(MPWM) is newly proposed. The control performance of this pneumatic cylinder depends on the external loads. To overcome this problem , switching of control parameter using artificial neural network is newly proposed, which estimates external loads on rodless pneumatic cylinder using this training neural network. As an underlying controller, a state feedback controller using position, velocity and acceleration is applied in the switching control the system. The effectiveness of the proposed control algorithms are demonstrated...on/off solenoid valve, load estimation, MPWM, Artificial neural network.

$\textbullet$ Introduction $\textbullet$ Grid-connected power system $\textbullet$ Current Control $\textbullet$ Simulation $\textbullet$ Conclusion

In this paper, RSF+RPP(Random Switching Frequency Ran-domized Pulse Position) PWM for three-phase voltage-controlled inverter is proposed. The LLPWM(Lead-Lag PWM) technique is that three switching pulses are located randomly back and forth in each switching interval But with the restriction of random distribution, the harmonic spectrum cannot be dispersedly and continuously distributed. To tackle this problem , First, the switching frequency is varied randomly. Next, the duty ratio is calculated under the first circumstance. Finally, the switching pulses are located randomly in the switching interval. To verify the validity of the proposed technique, Simulation Study is tried Using Matlab/Si...

$\textbullet$ Introduction $\textbullet$ Description of Prototype CRDM $\textbullet$ Theoretical Approach for estimating the gap variation between lift pole and lift armature $\textbullet$ Experimental Setup $\textbullet$ Experimental Results $\textbullet$ Conclusions

In teleoperation robotic system such as hydraulically actuated robotic excavator for dangerous area, the maneuverability and convenience is the most important part. Particularly the force information is important in dealing with digging and leveling operation in the tole-operated excavator. Excavators are also subject to a wide variation of soil-tool interaction forces. This paper proposes a new force reflecting joystick using pneumatic motor and a new algorithm for selecting force-reflecting gain in a velocity-force type bi lateral teleoperation system. The master system is electrical joystick with the same structure of that of real excavator. Particularly Pneumatic motor is used newly in...

Today it becomes a serious problem to exhaustion of a fossil fuel and air pollution by exhaust gases from road vehicles for environment preservation. To solve this problem, the developments of a hybrid vehicle have been processed for the purpose of reducing pollution and energy-savings. By the way, flywheel hybrid vehicle using variable pump/motor was proposed as one feasible hybrid system in place of hybrid vehicle system by the conventional storage battery. The proposed flywheel hybrid vehicle is composed of an accumulator or a flywheel as the energy generation and storage source and three variable hydraulic pump/motor as the energy transfer device. Flywheel has the characteristic of high...

In this study, a novel systematic design procedure by Genetic Algorithm of a two stage relief valve is proposed. First of all, a mathematical model describing the dynamics of a balanced piston type relief valve has been derived. Governing equations such as dynamic equations for the main spool and the pilot spool and flow equations for each orifice are established. The mathematical model is verified by comparing the results of simulation with that of experiments. Furthermore, influences of the parameters on the dynamic characteristics of a relief valve have been investigated by simulation of the proposed model. Major design parameters on the valve response are determin...

1. Introduction 2. CRCS 3. Fault Detection 4. Simulation 5. Conclusions

In this paper, coefficient diagram method is applied to a center position controller design of the web. The significant property of this controller is the designer can design the controller simultaneously a good balance of stability, response, and robustness. Manabe's CDM is useless for designing high-order plant. We proposed a modified CDM which can be called as approximated pole placement method. The practicality of the proposed method is shown through computer simulation.

Flatness of strip at aluminum cold rolling is one of the important quality parameters of rolled products. The reasons for this are perhaps obvious: for many of the end uses, subsequent processing requires a flat product poor flatness on-line can lead to reduced running speeds and hence to lower production levels. Amongst the reasons for lower running speeds is the increased risk of strip breaks. The Alcan Ulsan plant developed an automatic flatness control system on conventional four high mills for a year. This system compose of three parts as Intel RMX 3.3 operating system, advanced techniques, and flatness error analysis system. Strip flatness be measured by air bearing roll, passing the s...

$\textbullet$ Introduction $\textbullet$ Technical Background $\textbullet$ Tension control of a Hot Strip Mill $\textbullet$ Simulation $\textbullet$ Conclusion

We describe the looper controller design for a hot strip mill. The looper is to control the strip tension which influences on the width of the strip. It is very important to control the looper control of the hot strip mill, but difficult to control the looper, because there exists on mutual interaction among strip gauge, looper angle, and strip tension. In this paper, we present the modeling for the hot strip finishing mill to control the tension of the strip and suggest a cross control method of full-stand hot strip finishing mill. The cross control is a very simple method that allows non-interacting control.

$\textbullet$ Contents 1. Introduction $\textbullet$ Contents 2. Mathematical Modeling $\textbullet$ Contents 3. PID Parameter Application $\textbullet$ Contents 4. Simulations and Experiments $\textbullet$ Contents 5. Conclusions

$\textbullet$ Introductions $\textbullet$ Sensor system $\textbullet$ Driving System steering system $\textbullet$ Wireless communication system $\textbullet$ O/I (Operation/Interface) system $\textbullet$ Conclusions

Antilock brake System (ABS) is a essential safety equipment for modern vehicles. It prevents wheels from being locked-up when emergency braking of a vehicle is required. So it can improves directional stability of the vehicle, shortens stopping distance. Heavy Vehicles such as trucks and buses use mainly pneumatic pressures for their braking systems, where pneumatic modulators control the flow rate of compressed air thus braking pressures in the wheels. In this paper, a antilock braking algorithm which is suitable for heavy vehicles was developed. This algorithm uses limit cycle of wheels and is implemented in the ABS ECU. The developed algorithm and ECU were tested in the labo..

This paper considers a rough neurocomputing approach to the design of the classify layer of a Brooks architecture for a robot control system. The Paradigm for neurocomputing that has its roots in rough set theory, and works well in cases where there is uncertainty about the values of measurements used to make decisions. In the case of the line-crawling robot (LCR) described in this paper, rough neurocomputing is used to classify sometimes noisy signals from sensors. The LCR is a robot designed to crawl along high-voltage transmission lines where noisy sensor signals are common because of the electromagnetic field surrounding conductors. In rough neurocomputing, training a network of neurons...

The purpose of this paper is to monitor ECU's self-diagnostic signal without wire. In order to measure the ECU's self-diagnostic signal, the interfaced circuit is developed to communicate ECU with a designed display terminal according to the ISO, SAE regulation of communication protocol standard. An 80C196KC processor is used for communicating ECU's self-diagnostic signal and communication data are sent to PDA monitoring system that is based on the Windows CE. Software on PDA is developed to monitor the ECU's self-diagnostic signal in which RS232 port is programmed by half duplex method. The algorithms for measuring the ECU's self-diagnostic signals are verified to mo...

This paper presents a neural network approach to control exhaust gas recirculation(EGR) in a Liquefied Petroleum Gas(LPG) engine. In order to meet Increasingly stringent automotive exhaust emission regulations, alternative fuels such as LPG engines have been developed in many countries. HC&CO emissions of LPG engines can be easily reduced through air-fuel ratio control, but the control effect on NOx reduction is not good enough. Consequently EGR system is introduced to achieve a significant reduction in NOx emissions. Conventional EGR control uses the mapping method. The calibration time is long and the work is complex when adopting this mapping method. However neural networks are suitable f...

$\textbullet$ This report presents an implementation a set of reusable software components which use of fault-tolerance embedded controller for railway signalling systems. These components can be used in real-time applications without application reprogramming. $\textbullet$ This library runs under VxWorks operating system and is oriented on real-time embedded systems. The library includes fault detection, fault containment, checkpointing and recovery components. $\textbullet$ The library enables to support high-speed response to fault occurrence in application software. Garbage collector together with VxWorks Watchdog provides both dead tasks detection and useless resources removing to avoid an overflow. Control flow...

For the performance test of rechargeable electric tools, it is necessary to test under the same condition as the actual operation condition. They are necessary to control the load torque and to acquire the test data with a computer, and it should be convenient to fix the tool on the test equipment for rechargeable electric tools. It consists of torque loading parts, sensing parts and control software. Two hysteresis brakes, connected serially with flexible coupling, were applied to control the load for the test. The sensing part consists of a torque sensor, a rpm detector and a power analyzer. The torque and the rpm were measured in order to calculate the output of the rechargeable electric...

$\textbullet$ We solved the attitude regulation and tracking problems of spacecrafts. $\textbullet$ We developed a PC-based 3D spacecraft simulator using OpenGL. $\textbullet$ We considered the rigid spacecrafts with gas-jet and reaction wheel actuator. $\textbullet$ In order to verify the effectiveness of the simulator, we applied the output-based controller $\textbullet$ Spacecraft models are animated by roll-pitch-yaw angles, constantly processed by numerical method.

1. Introduction 2. STS Cold Rolling Process 3. Shape Control Method 4. On Line Test 5. Conclusions

Process measurements contain random and gross errors and the size estimation of gross errors is required for production accounting. Mixed integer programming technique had been applied to identify and estimate the gross errors simultaneously. However, the compensate model based on mixed integer programming used all measured variables or spanning tree as gross error candidates. This makes gross error estimation problem combinatorial or computationally expensive. Mixed integer programming with test statistics is proposed for computationally inexpensive gross error identification /estimation. The gross error candidates are identified by measurement test and the set of gross error candidates are...

The reliability of system is to become a important concern in developed industry. The controller based on the reliability is so important position. A reliable system is for system protection and human life by fault detection and control action against the transient condition of system. The aerospace system , nuclear reactor and chemical reactor are representative of a reliable system. This paper presents analysis of reliable system reliability, formal problem statement of optimal redundancy based on the reliability for a reliable system. And the problem is optimized by genetic algorithm. The genetic algorithms is useful algorithm in case of...

1. Introduction 2. Fundamental Model 3. Simulation Procedure 4. Results 5. Conclusion

1. Introduction 2. System Description 3. Hybrid Modeling of SM Reactor 4. Simulation Results 5. Optimization of Operating Condition 6. Conculsion

The optimal byproduct gas supply system was developed for the optimal management of the byproduct gases in the iron and steel making process based on EXCEL environment. It supplies optimal byproduct gas distribution result as well as analysis including expected electricity generation, holder level change, amount of oil consumption, energy distribution to each boiler, and efficiency of energy resource. To reflect the changing environment of the plant such as maintenance, the system was developed to easily change the optimization model for changing configuration of the system. To verify the performance of the system , case studies for various situation was performed with the developed system, a...

In the fuzzy applications and theories, it is very important to consider how to design the optimal fuzzy model from short training data, in order to construct the reasonable fuzzy model for identifying the practical process. There are several concerns to be confirmed for efficient fuzzy model design. One of concern is the optimization problem of the fuzzy model. In various applications, the genetic algorithm is widely applied to obtain optimal fuzzy model and other cases that adopt evolutionary mechanism of the nature. If we use natural selection and multiplication operation of the genetic algorithm, early convergence to local minimum can be occurred. In other word, we can find only optimum...

In the thermal power plant, it is difficult to maintain strict control of the steam temperature in order to avoid thermal stress, because of variation of the heating value according to the fuel source, the time delay of changes in main steam temperature versus changes in fuel flow rate, difficulty of control on the main steam temperature control and the reheater steam temperature control system owing to the dynamic response characteristics of changes in steam temperature and the reheater steam temperature, fluctuation of inner fluid water and steam flow rates widely during load-following operation. Up to the present time, the PID controller has been used to operate this system...

This paper presents a procedure of implementing a robust controller for a paper-making plant in DCSs. A paper-making process generally has triple problems to automatically tune its output qualities . Long transport delays which are not able to be simply linearized. The transfer matrix of the process is not square. And every plant model has some uncertainty in low and middle frequency region. To tackle these problems, a multi-input / multi-output (MIMO) plant model having some uncertainty was derived by considering some physical and mechanical principles of the process. Then a MIMO robust-controller is designed and implemented in a real DCS as function block type. Some special co...

$\textbullet$ Introduction $\textbullet$ PID Control and Two-Degree-Of-Freedom Control $\textbullet$ Switching Actuating Value By the 100% Actuating Value $\textbullet$ Application of Extruder Temperature Control $\textbullet$ Conclusion

$\textbullet$ INTRODUCTION $\textbullet$ PRINCIPLE AND THEORY $\textbullet$ DESIGN OF THE SYSTEM $\textbullet$ EXPERIMENT RESULT $\textbullet$ CONCLUSION $\textbullet$ REFERENCE

$\textbullet$ Roll Control $\textbullet$ Switched Reluctance Motor $\textbullet$ Field Programmable Gate Array $\textbullet$ Single Pulse Mode Current Control $\textbullet$ OR/Off Angle Control

. A Coupled-Field Analysis of Galloping for Power Transmission Line . Fluid-Structure interaction, Galloping, Power Transmission Line, ANSYS

$\textbullet$ Introduction $\textbullet$ Circuit modified $\textbullet$ Implement of the dual output converter $\textbullet$ Conclusions

1. Introduction 2. Modeling of Paralleled Converters with ACC 3. H/sub/spl infin//Control 4. Controller Design Example 5. Simulation Result 6. Conclusions

$\textbullet$ A new implant capable of controlling IOP actively and coping with personal difference among patients $\textbullet$ The valve actuator of the active implant is proposed and fabricated. $\textbullet$ In vitro experiments are carried out extensively with and without a rabbit. $\textbullet$ The experiments are conducted by using the open and closed loop pressure control. $\textbullet$ The experiment with the rabbit is similar as a in vivo experiment, $\textbullet$ since the compliance and the aqueous humor of the rabbit's eye are included. $\textbullet$ The experimental results verify the possibility of the valve actuator for a glaucoma implant.

Several model order reduction methods for large RLC circuits have been developed in the last few years. Krylop subspace based methods are extremely effective for generating the low order models of large system but there is no optimal theory for the resulting models. Alternatively, methods based truncated balanced realization have an optimality property but are too computationally expensive to use on complicated problems such as large RLC circuits. In this paper, we present a method for improving time domain response of reduced order RLC circuits. The method used here is based on combing Krylop subspace based method and truncated balanced realization method plus residualization. The metho...

$\textbullet$ Sliding mode controller using new discrete reaching laws $\textbullet$ Time-delay control $\textbullet$ Global Uniform Ultimate Bounedness

1. introduction 2. Related Work 3. Overview of the Avatar Control System 4. A Hybrid Control Method 5. Motion Conversion 6. Experimental result and Conclusion References

$\textbullet$ Introduction $\textbullet$ Steer by wire(SBW) $\textbullet$ HILS System $\textbullet$ SBW Control Algorithm $\textbullet$ SBW-HILS $\textbullet$ Simulation $\textbullet$ Conclusion

$\textbullet$ FFT $\textbullet$ Autocorrelation $\textbullet$ Levinson_Durbin resolution $\textbullet$ LP coefficients $\textbullet$ LP cepstral Coefficients $\textbullet$ Incremental Learning

Current database technique offers the possibility to store giant amounts of data, worldwide networks provide the technical base for everybody to access it. However, it is usually very time-consuming or even impossible to find the most relevant information. This article describes the usage of mobile soft-ware agents to query different databases on the Internet, to rate and compress the results and to present them to the user in a consistent form, It contains a general definition of soft-ware agents, a detailed description of the approach and a discussion of its main advantages and weaknesses.

This paper addresses a method for nonlinear controller construction for a general nonlinear system with the separation of controller construction and manipulated values generation. The nonlinear system model is firstly expressed with the coefficients of state-depended representation. The nonlinear control is designed without any approximation based on the model with state-depended representation. At the stage of controller implementation for the nonlinear system, the manipulated values are calculated accurately by use of an algorithm of the numerical analysis. The numerical error for calculating the manipulated value can be reduced to zero by selecting the sampling interval being a small val...

Because of the wheeled mobile robot is modeled by nonlinear system framework and controlled by nonlinear algorithms or fuzzy algorithms, the treatment of wheeled mobile robot is very complecate and conservative. In this paper, a new model of two wheeled mobile robot, which is a type of linear system and treated easily, is presented. And we will show that the control algorithms based on the linear system theory is well work to the wheeled mobile robot by simulation and experiment.

The purpose of this paper is to present a new nonlinear feedback control called AACC (Augmented automatic choosing control) for nonlinear systems. Generally, it is easy to design the optimal control laws for linear systems, but it is not so for nonlinear systems, though they have been studied for many years. One of most popular and practical nonlinear control laws is synthesized by applying a linearization method by Taylor expansion truncated at the first order and the linear optimal control method. This is only effective in a small region around the steady state point or in almost linear systems. Controllers based on a change of coordinates in differential geometry are effective in wider...

$\textbullet$ Contents 1 Introduction $\textbullet$ Contents 2 Model of Two-inertia System $\textbullet$ Contents 3 Concept of CDM $\textbullet$ Contents 4 Controller Design $\textbullet$ Contents 5 Experimental Results $\textbullet$ Contents 6 Conclusions

In this paper, we provide a Nash solution to predictive control problem for nonminimum phase singular nonlinear systems. Until now, there is no result on predictive control problem for this class of nonlinear systems. Chen's recent work considered predictive control problem for a class of nonlinear systems with ill-defined relative degree. Since his work is not a result considered in the feedback linearization framework, there is no a result on singular probem in his paper. In contrast to the existing predictive control result, our work considers two main obstacles (singularity and nonminimum phase) in the feedback linearization framework. For a generally formu...

Introduction. Modeling. Controller. Simulation. Experiment. Conclusion

Platelets arrest bleeding and repair damaged blood vessels. The purpose of this paper is to formulate a mathematical model for the control of platelet adhesion within the vasculature consistent with experimental findings, particularly those of Frenette, Ruggeri , Savage, Yuan, Lawrence and Springer. In addition to providing some, albeit rudimentary, insight into the behavior of platelets, a numerical simulation of this theoretical model may be useful in a systematic study of pathological cases. Glycoprotein receptor complex (GPIb/V/IX), found on the platelet surface membrane, binds to the adhesive protein and ligand von Willebrand factor (vWf), located within the sub-endothelium. The binding...

Human upright standing posture in the sagittal plane is studied, when it exposed in the antero-posterior vibration. A two link inverted pendulum model is considered and described its functional behavior in terms of ankle and hip joint according to the dominant joints that provides the largest contribution to the corresponding human reactionary motion. The data is analyzed, both in the time domain and the frequency domain. Subjects behave as a non-rigid pendulum with a mass and a spring throughout the whole period of the platform motion. When vision was allowed, each segment of body shows more stabilized.

In this paper, the algorithm for detecting the transient change of ST-segment and the device for measuring ECG from patient without restriction of activity are introduced. ST-segment elevation and depression is considered as the main characteristic in diagnosis of myocardial ischemia, but the change of pattern is also important. To consider all of the former and the latter, we used polynomial approximation for diagnosis of ECG. The feature points(R, S and T are detected through the signal processing processes including wavelet transform, and then R-S and S-T are approximated to polynomial. This method allows comparison of two signals that have different sampling time or different numbers of...

Communicating devices for the seriously disabled using eye-ball movement or some body movement are proposed. The first one is a device to use image processing, whose input signal is eyeball movement, A feature of this device is that the device can be readily realized using a note-book computer with USB (Universal Serial Bus) interface bus. This device is incorporated with a word processing software called Nearly Ladder. The second one is an emergency call switch which is used by a patient who can move his finger slightly. The patients can switch on the emergency switch only by touching a switch with his finger. The essence of this sensor is a touch sensor. The sensor can be realized using onl...

A mechanical device was developed for assisting the grasping function of a person whose fingers suffered cervical injury and thus are unable to grasp. This device is composed of a mechanical glove put on the user's hand and a muscle sensor to measure the activity of his or her muscle. The mechanical glove consists of a finger frame, a base and an air cylinder mounted on the base. With the kinematics carefully designed, the finger frame can achieve the grasping motion under the actuation of the air cylinder. For controlling this motion, an innovative sensor was developed to detect the user's motion intention. The sensor measures the change of the muscle stiffness...

This paper describes a motored wheelchair that is suitable for disabled persons. A distinguish feature of our wheelchair is that a closed link mechanism is introduced. This link module changes conventional motored wheelchairs to computer controlled ones. It means that using intelligent functions of the computer, conventional motored wheelchairs can be navigated like an intelligent robot. Three examples of intelligent navigation functions are demonstrated. The first one is a motored wheelchair controlled by the head movement of the operator. The second one is a motored wheelchair with the image processing. Last one is a motored wheelchair with the remote sensing function.

A quantitative performance evaluation of an intuitive robot teach method is presented. $\textbullet$ Teach times for two types of teach tasks are compared to the conventional teach pendant method. $\textbullet$ Teach tasks requiring a 4 DOF motion and a 6 DOF motion were tested. $\textbullet$ Compared to the teach pendant method, the proposed method reduce the teach times to 75% and 55%. $\textbullet$ The intuitive teach method is easier for the untrained robot users.

$\textbullet$ Presents a new method to determine the actual solution of the forward kinematics based on the geometry of the 3-6 Platform with a 3-2-1 type. $\textbullet$ The method is simple and effective to deform me the actual solution.

In this paper, we present a five-DOF actuator based on dielectric elastomer. The actuator is designed for generating five DOFs motions to drive a micro camera steering module and provides all the functions for controlling CCD array such as focusing, pan and tilting. Basic modeling of the actuator is performed, and simulation works and experimental verifications are conducted, too. The camera steering module includes most parts necessary for driving the actuator such as a micro-controller and DC-DC converter, etc. It can be operated with a personal computer using only communication lines without external power supply. A prototype is developed and its performance is experimentally proved. $\textbullet$ artificial muscle, EAP, actuator.

$\textbullet$ Introduction $\textbullet$ System hardware base $\textbullet$ System software implementation $\textbullet$ Connect robotic systems to Internet $\textbullet$ Conclusions

We propose an evolutionary reinforcement learning (RL) system with time-varying parameters that can deal with a dynamic environment. The proposed system has three characteristics: 1) It can deal easily with a dynamic environment by using time-varying parameters; 2) The division of state space is acquired evolutionarily by genetic algorithm (GA); 3) One does not have to design the rules constructing an agent in advance. So far many RL systems have been proposed. These systems adjust constant or non time-varying parameters; by those systems it is difficult to realize appropriate behavior in complex and dynamic environment. Hence, we propose the RL system whose parameters can vary temporally. T...

$\textbullet$ The Gifu Hand III is a 5-fingered hand driven by built-in servomotors and has 20 joints with 10 DOF. $\textbullet$ The backlash of transmission, the mobility space, and the opposability of the thumb are improved. $\textbullet$ The new distributed tactile sensor with 859 detecting points is mounted on the hand surface. $\textbullet$ Experiments of grasping objects by a grasping strategy imitating human grasping reflex are shown.

$\textbullet$ Contents 1 Abstract $\textbullet$ Contents 2 Introduction $\textbullet$ Contents 3 Design of the system $\textbullet$ Contents 4 Creating product database $\textbullet$ Contents 5 Functionality testing $\textbullet$ Contents 6 Conclusion $\textbullet$ Contents 7 References

1. the principal of a PSD(Position Sensitive Detector) 2. the optical system of the proposed method 3. signal processing 4. experimental result A mechanical engineer experiment on the tension test. In this experiment, they use the extensometer which can measure the extended distance of material. A normal extensometer is the contact type which means that the extensometer should attached to the specimen. It is not convenient to the user. The contacting type can also effect the characteristic of the specimen. So a extensometer is changed from contacting type to non-contacting type. Non-contacting type is not necessary to attach the extensometer to the specimen...

$\textbullet$ Introduction $\textbullet$ Structure of variable multi-valued spatial filter detector(VMSFD) $\textbullet$ Moment analysis by VMSFD $\textbullet$ Experimental results $\textbullet$ Fabricated chip with photodiode array $\textbullet$ Conclusion

Our goal is the development of a system that estimates the location of interested point in a room with accuracy and low cost. Non-contacting position estimating method is widely used in various areas. Among these methods, acoustic signal-based method is the cheapest and provides reasonably accurate estimation as a result of many research efforts. Most of the acoustic-signal-based three-dimensional location estimators such as 3D sonic digitizer are using the ultrasound, and are organized with two procedures; time-of-flight (TOF) estimation and localization estimation. Since the errors in estimating the TOF could be accumulated with that of localization estimate, accuracy of TOF estimate is as...

$\textbullet$ Introduction $\textbullet$ Deterioration of wire rope $\textbullet$ Magnetic flux leakage Instrument $\textbullet$ Experiment setup $\textbullet$ Performance of the instrument $\textbullet$ Conclusions

We propose here sequential 2 methods for obtain information of current or potential data for power transmission line. One is a digital data transmission unit, this is, an output of a current sensor of power transmission line is digitalized by use of an easy asynchronous protocol. The unit has high speed transform rate, easy making header caused of consisting of only logic circuit. The other is, the output of the unit is transformed via LAN interface and displayed on a personal computer. We have confirmed remote measuring using the method for 100A and 240 A of the current information of power transmission line. Therefore we will be able to see a current waveform by use of internet at a cheep c...

In this article, an alternative analog multiplier circuit, using the translinear second-generation current conveyors with the external resistors. The realization method makes use of the inherited translinear loop of the current conveyor offering the positive-supply current that provides in the quartersquare algebraic identity. The proposed circuit operates in voltage mode and it achieves a high accuracy. The PSPICE simulation results confirm that the performances of the proposed multiplier circuit, such as dynamic range and accuracy, are agreed with the theoretical results.

The problem of sound source localization is to determine the position of sound sources using the measurement of the acoustic signals received by microphones. To develop a good sound source localization system which is applicable to a mobile platform such as robots, a time delay estimator with low computational complexity and robustness to background noise or reverberations is necessary. In this paper, an explicit adaptive time delay estimation method for a sound source localization system is proposed. Proposed explicit adaptive time estimation algorithm employs direct adaptation of the delay parameter using a transform-based optimization technique, rather than...

$\textbullet$ Janchitrapongvej Kanok(KMITL), $\textbullet$ Tangtisanon Prakit( KMITL), $\textbullet$ Janin Chainarong(KMITL), $\textbullet$ Panyanouvong Nouanchanh(KMITL), $\textbullet$ Saetia Sorapong(KMITL)

Performance of the previously proposed 2D-image reconstruction method for soft tissues in x-ray computed tomography is evaluated thoroughly through numerical experiments with 4 assumed absorption rates of different symmetries under practical conditions, and the following special features are made clear: It is quite precise, especially at points where the object taking larger values; about two orders less magnitude errors than the conventional most precise method when no noise existing, without any 1D- or 2D-interpolation. In spite of its high sensitivity to the noises, it is even more precise by about 8dB than the latter, to relative pojection data noise power of 5%.

1. Introduction II. Circuit Description III. Current-Mode Active RC Filter IV. Simulation Results V. Conclusion

$\textbullet$ This paper presents a study on the development of a walking robot for an armor-stone work of the breakwater construction. The armor-stone work is putting stones about 0.3 ∼ 2m3 on the surface of the breakwater to prevent it from waving. $\textbullet$ This work has been done manually, and its process plan is uncertain by effects of the weather, wave and tide of sea. Therefore the constructional cost is considered to be wasteful $\textbullet$ Working in underwater as well as on land for human workers causes the accident and caisson disease, so it is necessary to replace the process to be mechanized. $\textbullet$ The basic requirements of the robot for mechanizing are as follows : 1) To have a large...

$\textbullet$ Introduction- Concept and meaning of the emotional Recognition $\textbullet$ The feature of 4-emotions $\textbullet$ Pitch(approach) $\textbullet$ Simulator-structure, RNN(learning algorithm), evaluation function, solution search method $\textbullet$ Result

$\textbullet$ Contents 1 Introduction $\textbullet$ Contents 2 EMG Signals and Measurement $\textbullet$ Contents 3 Intelligent Algorithm $\textbullet$ Contents 4 Improved LVQ $\textbullet$ Contents 5 Experiment $\textbullet$ Contents 6 Conclusion

$\textbullet$ Nearest neighbor filter $\textbullet$ Probabilistic nearest neighbor filter $\textbullet$ Probabilistic nearest neighbor filter incorporating numbers of validated measurements $\textbullet$ Probability density function of the NDS $\textbullet$ Simulation results in a clutter environment to verify the performances $\textbullet$ Sensitivity analysis for the unknown spatial clutter density

The new guidance law for a missile with the varying velocity after the rocket motor burned out is presented. This guidance is mechanized by combining the proportional navigation and the pure pursuit navigation. Some simulations are performed and then the simulation results show that the guidance law presented is effective even if the vehicle speed decreases significantly and has higher off-boresight ability than the proportional navigation.

This paper designs an integrated navigation system that uses the signals from both GPS satellites and pseudolites. While GPS satellite clocks are synchronized, pseudolite clocks are not exactly synchronized even though pseudolite can use 1PPS signal from the GPS receiver. This can cause large range error and can be solved by transmitting the correction information. Assuming that the positions of pseudolites are known, it is possible to determine the true range between two pseudolites. Also, from the measurement of pseudolite signals, the pseudo range between two pseudolites can be calculated. Using the difference between the true range and the pseudo range, each pesudolite can produce correc...

$\textbullet$ Introduction $\textbullet$ Control System Structure $\textbullet$ Coefficient Diagram Method $\textbullet$ Controller Design $\textbullet$ Experimental Results $\textbullet$ Conclusions

1. Introduction 2. Twin-Drive Geared Mechanical System 3. Reduced-Order Control Model 4. Model-Based Control System 5. Suppression of Transient Vibration 6. Effects of Model-Based Control 7. Conclusions

$\textbullet$ In this paper, a robust decentralized excitation control scheme is proposed $\textbullet$ We prove that the proposed control system is practically stable $\textbullet$ The origin is globally uniformly asymptotically stable in the absence of the disturbance $\textbullet$ If assumption is not satisfied, the proposed control system is still guarantees L2 stability $\textbullet$ Simulations for a three-machine power system demonstrates the effectiveness of the proposed scheme

$\bullet$ We present a state-feedback RHC for discrete-time TS fuzzy systems with input constriants. $\bullet$ The controller employ the current and one-step past information on the fuzzy weighting functions. $\bullet$ It is obtained from the finite horizon optimization problem with the invariant ellipsoid constraint $\bullet$ Under parameterized LMI conditions on the terminal weighting matrix $\bullet$ The closed-loop system stability is guaranteed. $\bullet$ The parameterized linear matrix inequalities are relaxed to a finite number of solvable LMIs.

Perspective dynamical systems arise in machine vision, in which only perspective observation is available, and the essential problem is to estimate the state and /or unknown parameters for a moving rigid body based on the observed information. This paper proposes and studies a Luenberger-type observer for perspective tim e-varying linear systems. In particular, assuming a given perspective time-varying linear system to be Lyapunov stable and to satisfy some sort of observability condition, it is shown that the estimation error converges exponentially to zero. Finally, a simple numerical exam pie is presented to illustrate the result obtained.

$\textbullet$ Disturbance observer $\textbullet$ Performance enhancement $\textbullet$ LFT formulation $\textbullet$ Structured singular value $\textbullet$ Maximum bandwidth of DOB $\textbullet$ DVD experiments $\textbullet$ Robust stable disturbance observer

A Human-Robot-Interface(HRI) for the disabled Person is developed. $\textbullet$ HRI consists of the laser pointer '||'&'||' USB camera and pressure sensor. $\textbullet$ HRI makes three degree of freedom. $\textbullet$ Three robot position control method with the Interface is presented. $\textbullet$ Experimental results show that user control the 6 DOF robot with the interface and control method.

$\textbullet$ The dynamic model of a floating human body is derived $\textbullet$ Introduction to impact model for human body $\textbullet$ Analysis of external impulse on the sole $\textbullet$ Analysis of internal impulse at the joints $\textbullet$ It is shown through simulation that the internal impulses for two different configurations

$\textbullet$ iconic localization method $\textbullet$ initial robot pose estimation $\textbullet$ genetic algorithms $\textbullet$ map matching

$\textbullet$ To achieve 3 high power-to-weight ratio, design of 3DOF hip module $\textbullet$ Using parallel mechanism and linear actuator consist of a ball-screw mechanism $\textbullet$ The kinematics analysis for the hip module $\textbullet$ A kinematic index to measure actuator power are introduced. $\textbullet$ It is demonstrated throught simulation that incorporation of redu ndant actuator into the hip module

In order to be a stand-alone structure, a biped robot should be designed of the effective mechanic structure and the smaller hardware system. This paper shows the design methodology of a biped robot controller using FPGA(Field Programmable Gate Array). A hardware system consists of DSP(Digital Signal Processor) as the main CPU and FPGA as the motor controller...

In this paper, a control strategy of position and force is proposed based on a switching algorithm. The main focus is the control of position and force in the same direction. The switching algorithm based on a fuzzy algorithm determines the weighting value of force control. First, the force control is dominant. If the position gets closer to the desire position, the weighting value of force control is closer to zero. The proposed algorithm is shown to be satisfactory to position and force control and the weighting factor is quite successful by simulation examples.

If a biped humanoid robot walks stably on even and uneven planes like a human being, it should have a control system capable of compensating for moments generated by motions of its lower-limbs, upper-limbs and head. In this paper, a compensatory motion control method is described for the stability of biped humanoid robots. This control method calculates the combined motion of the trunk and the waist that cancels the generated moments by using an iteration algorithm. During the biped walking, the combined motion is employed only for stability while the motion of the lower-limbs is used only for locomotion. This method is useful for not only a steady walking but also a transient walking. The e...

In this study, we tried to investigate the impedance characteristic of human arm in a cooperative task. Human arm was moved in a desired trajectory. The motion was actuated by a 1 degree-of-freedom robot system. As the muscle is mechanically analogous to a spring-damper system, a second-order equation was considered as the model for arm dynamics. In the model, inertia, stiffness and damping factor were considered. The impedance parameter was estimated from the position and torque data obtained from the experiment and based on the "Estimation of Parametric Model". It was found that the inertia is almost constant over the operational time. The damping factor and stiffness were high...

$\textbullet$ Flying Robot is a kind of UAV as an autonomous hovering platform. $\textbullet$ Control system is high complex, and non-linear Multiple-Input, Multiple-Output (MIMO) system. $\textbullet$ Eexperiment-device capable of measuring roll, yaw and pitch angle with PID controller by PC. $\textbullet$ This paper proves results of simulation through velocity control in condition.

The Master-Slave manipulator is generally used as a remote handling device in the hot cell, in which the high level radio-active materials such as spent fuels are handled. This study describes a workspace mapping algorithm for a kinematically dissimilar master-slave system The algorithm provides the operator to guide the slave's end effector into unreachable regions which can appear due to the mismatch of workspace between the master and slave manipulator. A spaceball was used for the universal master device, and it can detect the slight fingertip force applied on the ball and also resolve the applied force. The spaceball device was also used to move 3D images instantaneously and simultaneou...

Polarity correlation is a simplified version of the usual, having a possibility of real-time processing without any reduction of precision. In this paper, its applicability in deterministic signals is first explored generally, by theoretical or numerical analysis of four kinds of the typical signals. Then, based on the results, its two applications are proposed, that are detection and demodulation of FSK signals in digital communication, and time delay estimasion in ultrasonic A-mode measurement. The effectiveness of the proposed applications is confirmed by its superior implementation ability and the results of numerical experiments under practical circumstances.

$\textbullet$ Contents 1 Abstract $\textbullet$ Contents 2 Introduction $\textbullet$ Contents 3 Design of the system $\textbullet$ Contents 4 System testing $\textbullet$ Contents 5 Conclusions $\textbullet$ Contents 6 References

.Introduction . Microwave subsurface radar . Reflection Phase . Experimental. Conclusion

1. Review of one dimensional M-transform 2. Definition of two dimensional(2D)M-transform 3. Properties of 2D M-transform 4. Mean, Autocorrelation 5. Crosscorrelation of input and output of a system 6. Application to fault detection of mechanical shape

The measurement sensor may contain unknown bias in addition to the white noise in the measurement sequence. In this paper, fault detection and diagnosis scheme for the measurement sensor is developed based on the adaptive estimator. The proposed scheme consists of a parallel bank of Kalman-type filters each matched to a set of different possible biases, a mode probability evaluator, an estimate combiner at the outputs of the filters, a bias estimator, and a fault detection and diagnosis logic. Monte Carlo simulations for the PWR steam generator in the nuclear power plant are provided to illustrate the effectiveness of the proposed scheme.

This work presents a study on development of a practical and quantitative technique for assessment of the healthy state of a structure by piezoelectric impedance-based technique associated with longitudinal wave propagation measuring method. A truss structure embedded with piezoelectric patches is investigated for a fundamental study on estimation of the looseness of bolts in the joint. In order to evaluate the minute mechanical impedance change due to loosening bolt, a harmonic longitudinal elastic wave is applied to the structure by a pair of PZT patches and their electric impedance is measured simultaneously. According to the experimental results, the change of the electric impedance of P...

$\textbullet$ Abstract $\textbullet$ Introduction $\textbullet$ Circuit Description $\textbullet$ Simulation Results $\textbullet$ Conclusion

$\textbullet$ Introduction of an adaptive echoes canceller in telephone network and the propose $\textbullet$ The echoes canceller structure $\textbullet$The Lattice/Transversal Joint structure $\textbullet$ The propose robust variable step-size algorithm for lattice form structure $\textbullet$ Performance evaluation $\textbullet$ Simulation results $\textbullet$ Conclusion

1. Introduction 2. Overview of Collected Data 3. Adaptive Digital Filter 4. Experiment and Results 5. Conclusion

$\textbullet$ Introduction $\textbullet$ Algorithm of BMPC method $\textbullet$ Sequential solution method $\textbullet$ Simulation $\textbullet$ Conclusion

. A high peak power demand at substations will result under This paper deals with the detection of defects at BGA solder joints in PC boards by using X-ray Imaging. . To improve a cost performance and reliability of PC boards, an inspection of BGA is required in the surface mount process. . Contents 2 We attempt to detect the characteristic of the solder bridges based on an image analysis.

Although supported by many empirical results, the so-called one-bit-of-information conjecture concerning the statement knowing only the signs of source normalized kurtosis is sufficient for source recovery.

$\textbullet$ Introduce $\textbullet$ Basic principle and kinematics model of the AGV $\textbullet$ Design of the guidance system $\textbullet$ Simulation and experimentation $\textbullet$ Conclusion

1. introduction 2. FDTD Method 3. Guidelines 4. Simulation Result 5. Conclusion

$\textbullet$ Introduction $\textbullet$ FUll-Scale Driving Simulator(KMU DS-3) $\textbullet$ Adaptive Cruise Control Implementation $\textbullet$ Driving Simulator Study $\textbullet$ Conclusions

1. Introduction 2. The proposed EPS system 3. Mathematical Modeling of the EPS 4. Simulation results and discussions 5. Conclusions

A new floating power supply for the current measurement system of a high voltage power line is developed. It is confirmed that, the current measurement system can stably transfer the signal of the power line current about 50 - 300 A by using the proposed power supply. The excellent characteristics are obtained by the steady-state and transient experiments of the proposed circuit. $\textbullet$ The right figure shows the external view of the trial measurement system for 6.6 kV. In order to see the inside, 120 degrees of the insulator is cut. The toroidal coil for the power supply and the Rogowskii coil for the current sensor are both divided into two and fixed on the power line as...$\textbullet$ The proposed circuit can supply +5V and -5V voltages without using a solar cell and/or a battery.

In this study, the pneumatic servo valve was developed, and the study results could be summarized as follows; 1. A servo solenoid was designed, and its electromagnetic field was interpreted and the system's transient response was identified by using a commercial analysis program. 2. A program for analysis the flow in the spool was developed, and a study was conducted on the flow rate of the nozzle depending upon the pressure ratio between the upstream pressure and the downstream pressure, when the valve is fully opened in the spool and the flow force depending upon a displacement of the spool in the valve. 3. A PWM analog controller was designed and manufactured in...

Conventional multilayer feedforward artificial neural networks are very effective in dealing with spatial problems. To deal with problems with time dependency, some kinds of memory have to be built in the processing algorithm. In this paper we show how the newly proposed Serial Input Neuron (SIN) convolutional decoders can be derived. As an example, we derive the SIN decoder for \ulcornerrate code with constraint length 3. The SIN is tested in Gaussian channel and the results are compared to the results of the optimal Viterbi decoder. A SIN approach to decode convolutional codes is presented. No supervision is required. The decoder lends itself to pleasing implementations in hardware and processing...

In this paper, we modeled a virtual life (VL) that react to the user's action according to its own behavioral characteristics and grows itself. We established some conditions with which such a VL is designed. Genetic Algorithm is used for the growth process that changes the VL's properties. In this process, the parameter values of the VL's properties are encoded as ore chromosome, and the GA operations change this chromosome. The VL's reaction to the user's action is determined by these properties as well as the general expectation of each reaction. These properties are evaluated through 5 fitness measures so as to deal with multi-objective criteria. Here, we pr...

Plasma processing plays a crucial role in fabricating integrated circuits (ICs). Manufacturing ICs in a cost effective way, it is increasingly demanded a computer model that predicts plasma properties to unknown process inputs. Physical models are limited in the prediction accuracy since they are subject to many assumptions. Expensive computation time is another hindrance that prevents their widespread used in manufacturing site. To circumvent these difficulties inherent in physical models, neural networks have been used to learn nonlinear plasma data. A generalized regression neural network (GRNN) [I] is one of the architectures that have been widely used to analyze complex chemical data. I...

$\textbullet$ Field Programmable Gate Array $\textbullet$ flexible hardware $\textbullet$ neural network $\textbullet$ determinism learning $\textbullet$ multi-valued logic $\textbullet$ disjunctive normal form $\textbullet$ multi-dimensional exclusive OR

The technology to predict new chemical compounds by using properties of already known compounds is a kind of data mining and an important technology in chemical industrial fields. Many knowledge have been accumulated in the fields, and especially nowadays in the field of medicine development industry, the technology is connected with the post genome technology, and generates a new conception, physiome. The word is defined as followings. It is the quantitative and integrated description of the functional behavior of the physiological state of an individual or species. The physiome describes the physiological of the normal intact organism and is built on information and structure, that is geno...

Counters for the various kinds of bank notes require high-speed distinctive point extraction and recognition for notes. In this paper we propose a new point extraction and recognition algorithm for bank notes. For distinctive point extraction we use a coordinate data extraction method from specific parts of a bank note representing the same color. The recognition algorithm uses a back-propagation neural network that has coordinate data input. The proposed algorithm is designed to minimize recognition time.

A new integral controller is proposed for time-delay plants. The proposed controller has Davison type structure and utilizes a simplified state predictor instead of the optimal state predictor for the extended system. The simplified predictor is introduced by a trick similar to that used in the Smith predictor. As a systematic method for designing the proposed controller, the application of the loop transfer recovery (LTR) technique is considered. For the plant input side and the output side, explicit representations of the sensitivity matrices achieved by enforcing the formal LTR procedure using Riccati equations are obtained. A numerical example is presented to compare the asymptotic...

$\textbullet$ Introduction of fuzzy logic controller for dynamic system under irregular disturbance $\textbullet$ Fuzzy rules by displacement information and the frequency characteristics of the system $\textbullet$ Modal analysis for the frequency informations of the system $\textbullet$ Introduction of mode selecting unit(MSU) based on Fast-Fourier transform(FFT) algorithm $\textbullet$ Piezo ceramic as an actuator of flexible structure

In this research, we are trying to develop an automatic sorting system, which is mostly affected by frictional forces between a veneer and plank. So we will make a suitable dynamic model and mechanism to control the velocity feedback. We will suggest stick-slip motion model which can predict the stability behavior of this system. The control system has a feedback loop, in which the following operations are included. A kind of sensor can get the velocity of the mass to adhesive veneer. The output of result signal should be passed to a filter, then to a phase shifter, which applies an adjustable phase-shift, to a variable-gain amplifier. A shaker will be attached to the mass, which ex...

An active stick which has the variable force-feel characteristics is developed. A combined position and force control strategy is mechanized using a 2-axis built-in force sensor and LVDT. The 2-axis force sensor which measures the stick force felt by the operator is developed by using strain gages and appropriate instrumental amplifiers. A mathematical model of the active stick dynamics is derived, and compared with the experimental results. The frictional torque of the stick due to the mechanical contacts of several parts makes the experimental frequency responses to be dependent on the magnitude of excitation signal, and the precision closed loop control to be difficult. A friction observe...

1. Introduction Present study presents the basic concept of a Solid Freeform Fabrication System using a rapid prototyping procedure and optimal control for a transferring and accumulating system. And it developed a novel rapid prototyping process that can use ceramic or metal as well as polymer as a basic material. 2. Solid Freeform Fabrication System 2.1 Basic Theory A 3D CAD data of the model is converted to the 2D cross-section data of the slides. A ceramic or metal tape of thickness 0.5-1.5mm is cut by a laser beam with the cross-section data of the slide. A 3D model was obtained by transferring and accumulating the slides. The final product is manufactured by sin...

$\textbullet$ Machine tools $\textbullet$ Thermal distortion compensation $\textbullet$ Independent component analysis $\textbullet$ Temperature variable reduction $\textbullet$ Thermal distortion modeling $\textbullet$ Hardware Implementation $\textbullet$ Experiments

This paper describes a design of an induction motor control system for industrial sewing machines. On the basis of vector control principle, the control system is simulated by using the ACSL, implemented on a DSP(TMS320C31).A space vector modulation is used as the inverter switching strategy. For the application of industrial sewing machines, A fast acceleration (deceleration) and removal of velocity ripples are required, because a sewing quality and sewing machines life time depends on these characteristics. The designed control system has fast dynamic characteristics and small speed vibration. The result is applied to the industrial sewing machine and result are shown.

Today, Internal offers WWW(World Wide Web), remote control, file transfer and e-mail service. Among the services, WWW takes large portion because of convenient GUI, easy information search and unlimited information registration. WWW service gives the comfort in life such as goods purchase, information search, real-time news, internet TV and medical diagnosis. Remote Monitoring Server(RMS) Ssystem that uses internet and WWW is constructed for chip mounter. Hardware base consists of RMS, chip mounter and C/S(Customer Service) service. Software includes DBMS and various modules in server home page. Web browser provide product num her, bad product number, troubl...

$\textbullet$ Visualization $\textbullet$ Animation $\textbullet$ Simulation $\textbullet$ Software Components $\textbullet$ Workflow Management

$\textbullet$ Simulation of the effect of external vibration on optical disk pickups.$\textbullet$ Vibration effect is cancelled with aceeleration feedforward. $\textbullet$ MEMS accelerometers are small enough not to require any mechanical design modification. $\textbullet$ LQR, LQG, and SMC type controllers are designed. $\textbullet$ With the feedforward, transmissibility is reduced significantly. $\textbullet$ Time domain simulation confirms the performance enhancement. $\textbullet$ The resultant system shows excellent command following characteristics as well.

$\textbullet$ A compact and robust wall-climbing robot, called MRWALLSPECT-II, is developed. $\textbullet$ The robot is a self-contained system for scanning external surfaces of gas or oil tank. $\textbullet$ The robot has advantages of reduced actuators, parts and easy control. $\textbullet$ The mechanism of the robot employs a closed link mechanism. $\textbullet$ Self-Contained, Wall-Climbing, MRWALLSPECT

Building autonomous robots have been a central objective of research in artificial intelligence. The development of techniques for autonomous navigation in real environment consist one of the main tendencies of the current researches about Robotics. An important problem in autonomous navigation is the necessity of dealing with a great amount of uncertainties inherent to the real environments. The paraconsistent logic has characteristics that make it become an adequate tool to solve this problem. In this work, it is proposed a technique of mapping the real world in the navigation of an autonomous robot using the paraconsistent logic.

A lot of localization algorithms have been developed in order to achieve autonomous navigation. However, most of localization algorithms are restricted to certain conditions. In this paper, Monte Carlo localization scheme with a map-matching algorithm is suggested as a robust localization method for the Public Service Robot to accomplish its tasks autonomously. Monte Carlo localization can be applied to local, global and kidnapping localization problems. A range image based measure function and a geometric pattern matching measure function are applied for map matching algorithm. This map matching method can be applied to both polygonal environments and un-polygonal environments and achieves...

In this paper, as an ideal test bed for studies on multi-agent system, the multiple micro robot soccer playing system is introduced at first. The construction of such experimental system has involved lots of kinds of challenges such as sensors fusing, robot designing, vision processing, motion controlling, and especially the cooperation planning of those robots. So in this paper we want to stress emphasis on how to evolve the system automatically based on the model of behavior-based learning in multi-agent domain. At first we present such model in common sense and then apply it to the realistic experimental system . At last we will give some results showing that the proposed approach is feasi...

$\textbullet$ Introduction to the concept of the Mobile Robot working mode(online and of offline mode) $\textbullet$ Introduction to the Issac Robot Specification $\textbullet$ Discussion on the technology selection $\textbullet$ Description of the system and software architecture $\textbullet$ System implementation result. $\textbullet$ Conclusion and future work

In this paper, an efficient robust control method for chaotic system introducing the concept, the edge of chaos (:boundary status between chaos and non-chaos), is proposed. To realize this concept, we introduce an extended performance index which consists of two parts. One is for achievement of the system's objects, another is for keeping the system edge of chaos. Parameters of the neural network controller are adjusted to minimize the value of the extended performance index and achieve the above two objects using Random...

$\textbullet$ Design of Path-Finding Agents in Game Programming $\textbullet$ Computational Efficiency vs. Realistic Motion $\textbullet$ Path-Finding by Planning $\textbullet$ Path-Finding by Behavior-based Control $\textbullet$ implementation and Test of Path-Finding Program

$\textbullet$ Co-evolutionary algorithms $\textbullet$ Nash Genetic Algorithms $\textbullet$ Multi-objective Optimization $\textbullet$ Distance dependent mutation $\textbullet$ Pareto Optimality

When the GA is applied to optimization problems, it is important to maintain the diversity in designing generation alternation model. Generally, when the diversity is not fully maintained, it is difficult to find good solution, and it is easy to stagnate the early convergenece. In this paper, we propose the Elite Correlation Selection operator (ECS) as a new selection operator for survival. This selection operator aims to keep the diversity of populations and contributes the high searching ability. This selection operator is an extension of selection operator for survival in the Minimal Generation Gap (MGG). In the selection for survival, this selection operator selects one elite individual...

Distributed Artificial Intelligence (DAI) aims to study and develop techniques that allow interaction among intelligent entities. In the last two decades, some types of DAI architecture have been proposed for various fields. However, it can be noticed that the inconsistency phenomenon has not been dealt with properly. This is probably due to the fact that this phenomenon cannot be handled (at least directly) with classical logic. Hence, to deal with such inconsistencies directly, one should employ a logic other than the classical one. The DAI Architecture described in this work is based on a nonclassical logic called Annotated Paraconsistent Logic.

Many livings form groups that we consider as collective systems. Their collective behaviors are good model for the development of useful distributed systems. In this paper, We discussed the group of motile elements that is described by simple model. The dynamics of each element is described by simple kinematics, but the group shows various types of motions. In addition, we found out the formation of the group changes by modifying rc which is an optimum distance between each element. This modification shows us to observe close-packed structure, face-centered lattice, sim pie lattice and double file.

This paper is concerned with parallel FFT and Quick-Merge Sort. They are implemented on computers interconnected by VMIC 5579 reflective memory and a cluster of workstations (PCs) interconnected via Fast Ethernet. Message passing interface (MPI) parallel library is used for communication in a cluster of workstations. An improved parallel FFT is also presented to decrease an execution time in the case of a small number of hosts. Distributed shared memory (DSM), VMIC 5579 reflective memory (RM), a cluster of workstations (COW) and message passing interface (MPI) parallel library are described.

$\textbullet$ The method to have real-time response at the motion control. $\textbullet$ The trajectory generation method guarantees the continuous acceleration in changing the velocity during the actuator is moving. $\textbullet$ We propose the velocity profile generation algorithm in order to change object position or object velocity with continuous acceleration using blending method.

Modern distributed control systems focus on system openness, network system architecture and PC based controller. This paper discusses the embedded systems with ORB for distributed control systems. Embedded systems have merits such as small size, low cost and user convenience. ORB allows users to program easily by using IDL and provides client/server network for heterogeneous platforms. By using embedded systems and ORB, we implement the system and validate it by using VME system. The developed system has benefits when it is applied to distributed control systems.

Traditional control systems that consist of sensors, actuators and a controller centralized and connected with point-to-point links, have become distributed because of their performance limits and maintenance problems. Sensors and actuators are changed to smart devices having a processor and these devices and controllers are connected with fieldbuses such as Profibus, FIP, CAN, LonWorks and so on. Because they are distributed, it takes any delay to transmit data from sensor to controller and data from controller to actuator according to network characteristic. Also, the execution times of tasks in a node are not regular and depend on the node characteristic and the number of tasks and so on...

The current study of complex dynamical networks is pervading all kinds of sciences today, ranging from physical to biological, even to social sciences. its impact on modern engineering and technology is prominent and will be far-reaching. Typical complex dynamical networks include the World Wide Web, the Internet, various wireless communication networks, meta-bolic networks, biological neural networks, social connection networks, scientific cooperation and citation networks, and so on. Research on fundamental properties and dynamical features of such complex networks have become overwhelm ing. This talk will provide a brief overview of some basic concepts about com plex dynamical netwo...

<1. New level meter inside the fuel tank> Ultrasound level sensors are widely applied as level meters of liquid tank. Measurement instrument of level between water and fuel is developed. Since the fuel is inflammable, the sensor system doesn't allow to include any electric circuit inside the fuel tank. The optical cable sensor can satisfy this explosive condition. The measurement method with ultrasonic sensor is attached on the tank wall or tank manhole lid. The pressure sensor can't be applied inside the gasoline fuel tank. An ultra-sonic sensor doesn't detect a enough signal reflected from water level deep under gasoline fuel. The pressure sensor is difficult to measure the height o...

1. Introduction of Camera Detection system Camera Detection system is an equipment that can detect realtime traffic information by image processing techniques. This information can be used to analyze and control road traffic flow. It is also used as a method to detect and control traffic flow for ITS(Intelligent Transportation System). Traffic information includes speed, head way, traffic flow, occupation time and length of queue. There are many detection systems for traffic data. But video detection system can detect multiple lanes with only one camera and collect various traffic information. So it is thought to be the most efficient method of all detection system. Though the...

A multi-channel electrostatic probe is utilized to determine gas flow rate in a cylindrical container. A numerical analysis is conducted to compare experimental measurement with the computed gas velocity in radial and axial directions.

1. Introduction 2. Distance measurement using array 3. Linearization of CdS array characteristics 3.1. Crisp linearization of CdS array characteristics 3.2. Fuzzy logic linearization of CdS array characteristics 4. Magnetic Levitation System 4.1. Design of MLS 4.2. Implementation of MLS 4.3. Results of MLS 5. Conclusion

Tool condition monitoring is recognized important in CNC machining processes since the excessive wear or breakage of tool has to be noticed immediately in an automated manufacturing system to keep the quality and productivity. In this research, as an economic way of detecting the status of tool change, the wavelet transform has been applied to the measurement of spindle motor current. The energy of a specific level shows the difference between a normal tool and worn one. By setting a limit on the change of energy, it is possible to notify the time to inspect the tool.

1. Introduction 2. Basic Concepts 2.1 Signal Model 2.2. Least-Mean-Square Adaptation Algorithm 3. Minimum Mean-Square Error 4. Bayesian Beamformer References

$\textbullet$ Abstract $\textbullet$ Introduction $\textbullet$ Building a Model for Diagnosis $\textbullet$ Modular Approach to Diagnosis $\textbullet$ Extension to a General Case $\textbullet$ Conclusion $\textbullet$ References

In this paper, a new method for the mixed image separation is presented using the independent component analysis, the innovation process, and the expectation-maximization. In general, the independent component analysis (ICA) is one of the widely used statistical signal processing scheme that represents the information from observations as a set of random variables in the form of linear combinations of another statistically independent component variables. In various useful applications, ICA provides a more meaningful representation of the data than the principal component analysis through the transformation of the data to be quasi-orthogonal to each other, which can be utilized in linear p...

A scheme of clarifying fault feature in the residual is given for model-based fault detection and diagnosis of control systems. It is based on the residual generation using a robust filter and the noise suppresion in test statistics of the residual by multi-scale discrete wavelet transform. By clarifying the fault feature in the residual, the difficulties of existing model based approaches via adopting a threshold can be overcomed and it has advantage of taking the false alarm and missed detection into acount at the same time, which can make the fault detection and diagnosis easy and correct. To show the effectiveness of our approach, the simulation results are illustrated for a linear syste...

Thermal infrared imaging is a highly promising technology for condition monitoring and predictive maintenance of electronic, electrical and mechanical elements in nuclear power plants. However, conventional low-cost infrared imaging systems suffer from poor spatial resolution compared to commercial CCD cameras. This paper describes an approach to enhance inspection performances for calandria reactor area of Wolsung nuclear power plant through the technique of superimposing thermal infrared image into real CCD image. In the occurrence of thermal abnormalities on observation points and areas of calandria reactor area, unusual hot image taken from thermal infrared camera is mapped upon re...

This paper describes extraction procedures for the center coordinates of steam generator tubes of Youngkwang nuclear power plant No. 6 unit. The centering coordinates of tubes are needed for monitoring whether ECT probe is exactly inserted into tube or not. However, The tube image tends to have poor contrast because steam generator bowl is sealed. The centering coordinates extraction procedure consists of two steps. The first step is to process the region with high contrast in entire image of steam generator tubes. Using the center points extracted in the first step and the geometry of tubes lined up in regular triangle patterns the centering coordinates of the rest region with low contrast...

In this study an image processing system is designed and developed, which can detect and assort some defects on the surface of an object moving with high speed. For real time surface detection of high speed moving object, the fast processing should be managed and the image information including some surface features should be captured. It is difficult to acquire the noise free image due to various light sources and high speed moving materials under the environment of the general industrial site. In general, because pre-processing methods are employed for getting a noise free feature, the image processing speed has some limitation and the expensive image processing devices are required. This...

$\textbullet$ Abstract $\textbullet$ Introduction $\textbullet$ Wire Rope Detecting System $\textbullet$ Signal Processing $\textbullet$ Experiment $\textbullet$ Conclusion $\textbullet$ Reference

A method for the non-destructive detection of damage using parameterized partial differential equations and Galerkin approximation techniques is presented. This method provides the theoretical and experimental verification of a nondestructive time domain approach to examine structural damage in smart structure. The time histories of the vibration response of structure were used to identify the presence of damage. Damage in a structure causes changes in the physical coefficients of mass density, elastic modulus and damping coefficient. This paper examines the beam-like structures with PVDF sensor and PZT actuator to perform identification of those physical parameters and to detect the...

This paper presents the vibration characteristics of an intelligent cantilever beam in contact with a fluid using a PZT actuator and PVDF film. The dynamic behaviors of a flexible beam-water interaction system are examined. The effect of the liquid level on free vibration of the composite beam in a partially liquid-filled circular cylinder is investigated. The coupled system is subject to an undisturbed boundary condition in the fluid domain. It was found that the coupled natural frequencies decreased with the fluid level for the identical composite beam due to added mass effect. In case of the free-free boundary condition, the natural frequency gently decreased at fluid water level betw...

1. Introduction Pose estimation of a three dimensional object has been studied in robot vision area, and it is needed in a number of industrial applications such as process monitoring and control, assembly and PCB inspection. In this research, we propose a new pose estimation method based on principal axes analysis. Here, it is assumed that the locations of x-ray source and the image plane are predetermined and the object geometry is known. To this end, we define a dispersion matrix of an object, which is a discrete form of inertia matrix of the object. It can be determined here from a set of x-ray images, at least three images are required. Then, the pose information is obtained fro...

A sensor modeling via artificial neural network is presented in this paper. The optical sensor has been designed to treasure absolute 3-dimensional positions and orientations of objects in 6-DOF. The method utilizes a triangular pyramidal mirror having an equilateral cross-sectional shape referred as 3-facet mirror. The mirror has three lateral reflective surfaces inclined 45 degrees to its bottom surface. The 3-facet mirror is mounted on the object whose 6-DOF motion is to be measured. As optical components, a He-Ne laser source and three position-sensitive detectors(PSD) are used. The laser beam is emitted from the He-Ne laser source located at the upright position and vertically incident o...

In this paper, we present an arrayed flexible tactile sensor, which can detect contact normal forces as well as positions. The tactile sensor is developed using Polyvinylidene Fluoride (PVDF) that is known as piezoelectric polymer, and the surface electrode is fabricated using silk-screening technique with silver. We develop a charge amplifier in order to amplify the small signal from the sensor, and a fast signal processing unit by using a DSP chip. The developed tactile sensor is physically flexible and it can be deformed three-dimensionally to any shape so that it can be placed on anywhere on the curved surface. In the future, the developed sensor is applied to a dexterous robotic hand...$\textbullet$ Tactile sensing, PVDF, Robot hand

In principle, a resonance type sensor generally has an oscillation characteristic. Thus, an analysis on transient oscillation response takes a great interest since it is related to the performance of resonant sensor. In particular, system bandwidth has tradeoff with oscillation accuracy, i.e. quality factor. For an efficient analysis of the oscillation characteristic, several analytic methods are introduced and summarized. The results are fundamentally based on the classical describing function method, but can explain the transient oscillation by introducing time varying concept about the predicted limit cycle. After introducing those methods, the application results to the specified system...

$\textbullet$ Omnidirectional feature matching $\textbullet$ SVD-based matching algorithm $\textbullet$ Using SSD instead of the zero-mean correlation $\textbullet$ The similarity with the Gaussian weighted $\textbullet$ Low computational cost $\textbullet$ It describes the similarity of the matched pairs in omnidirectional images.

Vision-based systems for finding road lanes have to operate robustly under a wide variety of environ-mental conditions including large amount of scene clutters. This paper presents a method for finding the lane boundaries by combining a local line extraction method and dynamic programming as a search tool. The line extractor obtains an initial position estimation of road lane boundaries from the noisy edge fragments. Dynamic programming then improves the initial approximation to an accurate configuration of lane boundaries. Input image frame is divided into a few sub-regions along the vertical direction. The local line extractor then performs to extract candidate lines of road lanes in the...

$\textbullet$ Feature Detection $\textbullet$ Extracting Feature information $\textbullet$ Feature Map $\textbullet$ Feature Map Building $\textbullet$ Experimental Results

1. Introduction 2. System Overview 3. Tracking and Auto Zooming algorithm 3.2 Automatic ROI Setting 3.3 Escaping of the local distracters 4. Pan/Tilt Control System, Performance Evaluation 5. Conclusion

1. Introduction 2. Detection of the moving object 3. Correspondence problem 4. Experiment 5. Conclusions. References

In this paper, a computer-vision based pipe-inspection algorithm is developed. The algorithm uses the modified Hough transformation and a line-scanning approach to identify the edge line and radius of the pipe image, from which the eccentricity and dimension of the pipe-end is calculated. Line and circle detection was performed using Laplacian operator with input image which are acquired from the front and side cameras. In order to minimize the memory usage and the processing time, a clustering method with the modified Hough transformation for line detection. The dimension of inner and outer radius of pipe is calculated by proposed line-scanning method. The method scans several lines along t...

Contents 1 In this paper a machine vision system for recognizing and classifying the patterns and marks engraved by die molding or laser marking on glass panel of computer monitor is suggested and evaluated experimentally. The vision system is equipped with a neural network based pattern classifier and searching process based on normalized grayscale correlation and adaptive binarization, which is applicable to the cases in which the segmentation of the pattern area from background using the ordinary blob coloring technique is quite difficult. Inspection process is accomplished via the way of NGC hypothesis and ANN verification. The proposed pattern recognition system is composed of three...

1. Introduction 2. Detection and Tracking of Moving Objects 3. Objects Tracking and Experiment 4. Conclusion

A two-dimensional moving target is necessarily captured by a 5 dot robot system using a robot vision technique. Here, a robot vision system with a visual skill so that it can take information for a moving target or object, specially two dimensionally moving, is introduced and its algorithm and control strategy are presented associated with it. The tracking algorithm is proposed and its performance is verified by experiment. The camera first captures the object, then it captures again after certain second. The position difference generates the horizontal and vertical velocities of the moving target, hence the final destination is estimated at gripping line. At the same time, the robot s...

$\textbullet$ 3-D object tracking framework $\textbullet$ Using fast stereo vision system for range image $\textbullet$ Using CONDENSATION algorithm to tracking object $\textbullet$ For recognizing object, superquardrics model is used $\textbullet$ Our target object is like coils in steel works

$\textbullet$ Contents 1 introduction $\textbullet$ Contents 2 The system implementation $\textbullet$ Contents 3 low \ulcornerlevel image processing $\textbullet$ Contents 4 scene sequence interpretation $\textbullet$ Contents 5 Implementation experimental result

In this paper, we present autonomous mobile robot system, which has an image recognition module and perform tasks by itself with manipulator. Autonomous mobile robot can push each individual button on an elevator panel from a person's command. After the robot receives its command, it analyzes the image information of the elevator button that is acquired by CCD camera in an indoor environment with an elevator. In order to recognize the numbers on the button, the robot separates the number area in button and recognizes the segment through a neural network algorithm. We use the bar code form on the manipulator to find the position of the end of manipulator. The validity of the proposed method i...

In this paper we propose a new visual servoing method for door opening with mobile manipulator. We use an eye-to-hand system that stereo camera is mounted on mobile platform, and adopt the position-based method. The previous methods for door opening mostly used eye-in-hand system with mono camera and required predefined knowledge such as radius and position about door grip, which was mainly caused by using mono cam era. This is also a severe constraint for pursuing general-purpose algorithm for door opening. For overcoming such drawback, we use stereo camera and suggest a new method that detect the door grip and estimate its pose from stereo depth information without predefined knowledge. Al...

This paper presents the method for detection and tracking of multiple humans robustly in mobile platform. The perception of human is performed in real time through the processing of images acquired from a moving stereo vision system. We performed multi-cue integration such as human shape, skin color and depth information to detect and track each human in moving background scene. Human shape is measured by edge-based template matching on distance transformed image. Improving robustness for human detection, we apply the human face skin color in HSV color space. And we could increase the accuracy and the robustness in both detection and tracking by applying random sampling stochastic estimati...

For visual navigation, mobile robot can use a stereo camera which has large field of view. In this paper, we propose an algorithm to detect and recognize human face on the basis of such camera system. In this paper, a new coarse to fine detection algorithm is proposed. For coarse detection, nearly face-like areas are found in entire image using dual ellipse templates. And, detailed alignment of facial outline and features is performed on the basis of view- based multiple appearance model. Because it hard to finely align with facial features in this case, we try to find most resembled face image area is selected from multiple face appearances using most distinguished facial features- two eye...

A core technology for implementation of Augmented Reality is to develop a merging algorithm between interesting 3-D objects and real images. In this paper, we present a 3-D object recognition method to decide viewing direction toward the object from camera. This process is the starting point to merge with real image and 3-D objects. Perspective projection between a camera and 3-dimentional objects defines a plane in 3-D space that is from a line in an image and the focal point of the camera. If no errors with perfect 3-D models were introduced in during image feature extraction, then model lines in 3-D space projecting onto this line in the image would exactly lie in this plane. This observa...

The crane and the master-slave manipulators (MSM) are widely used as a remote handling device in nuclear facilities such as the hot cell. The equipment to be installed in the hot cell should be optimally placed within the workspace of the wall-mounted slave manipulator for the maintenance operation. Also, the slave manipulator with the end effectors should be properly positioned and oriented for the dedicated maintenance operation. Hence, the workspace and the motion of the slave manipulator, as well as, the remote operation task should be analyzed before installing the manipulators and the hot cell equipment. For this purpose, the 3D graphic simulator, which simulates the remote operation o...

Vehicle driving simulator is a virtual reality device which makes a human being feel as if the one drives a vehicle actually. Unlike actual vehicle, the simulator has limited kinematic workspace and bounded dynamic characteristics. So it is difficult to simulate dynamic motions of a multi-body vehicle model fully. In order to overcome these problems, washout algorithm which restricts workspace of the simulator within the kinematic limits is needed, and analysis of dynamic characteristics is required also. However, it is difficult to select the proper cutoff frequency of filters in washout algorithm. This paper introduces the signal compression method as an effective method to analyze the sim...

$\textbullet$ Introduction $\textbullet$ Preprocessing $\textbullet$ Pattern Recognition $\textbullet$ Post Processing $\textbullet$ Calibration and Coordinate Transformation $\textbullet$ Experiments and Result $\textbullet$ Conclusions

Contents 1 Abstract- In the thermal power plant, there are six manipulated variables; main steam flow, feedwater flow, air flow, spray flow, fuel flow, and gas recirculation flow. Therefore, the thermal power plant control system is a multi-input and output system. In the control system, the main steam temperature typically is regulated by the fuel flow rate and the spray flow rate, and the reheater steam temperature is regulated by the gas recirculation flow rate. Up to the present time, the PID controller has been used to operate this system. This paper focuses on the characteristic comparison of the PID controller, the modified 2-DOF PID Controller on the DCS, in order to design an optimal...

I. Introduction ▶The PID(Proportional-Integral-Derivative) controller is widely used in the industry it can be implemented easily for a typical second order plant. ▶The parameters of PID controller should be adapted complicatedly if a plant is various or the load is present. ▶For solving the problem, many control techniques have been developed. ▶A major method is a hybrid Fuzzy-PID controller. But, in case of using this method, we can not obtain characteristic of rapidly response and not achieved compensation on disturbance. ▶Therefore, we will use compensator fuzzy controller a front Hybrid type fuzzy-PID controller...

A vehicle simulator is made here to simulate the lateral control of vehicles. Dead-reckoning sensors which consist of gyroscopes and accelerometers are utilized for the positioning of it. A significant side-slip occurs when the developed vehicle is drove autonomously. To cope with the side-slip, the vehicle is steered to follow the reference yaw rate which is generated by the relationship between the target point and the position of vehicle. The experimental results show the good performances of lane tracking and the passenger comfort.

The LQG/LTR controller is a robust and stable control which is systematic method with a view of engineering. And the scheme is adopted for the design of the controller to reduce the effects of the disturbances. In this paper, We develop an algorithm that decides the distance and directions between the guide line that is made by a series of magnets and MR sensors of vehicle. LQG/LTR and Controller Design of Lateral Control System for a vehicle is developed with 3 DOF (degree-of-freedom) model. The performance has been compared for the employed two types of controllers via computed simulations. The results show that the controller provides more robustness property for t...

In this paper, we propose Self-organizing neurofuzzy networks(SONFN) and discuss their comprehensive design methodology. The proposed SONFN is generated from the mutually combined structure of both neurofuzzy networks (NFN) and polynomial neural networks(PNN) for model identification of complex and nonlinear systems. NFN contributes to the formation of the premise part of the SONFN. The consequence part of the SONFN is designed using PNN. The parameters of the membership functions, learning rates and momentum coefficients are adjusted with the use of genetic optimization. We discuss two kinds of SONFN architectures and propose a comprehensive learning algorithm. It is shown that this network...

In this paper, the improved Multi-FNN (Fuzzy-Neural Networks) model is identified and optimized using HCM (Hard C-Means) clustering method and optimization algorithms. The proposed Multi-FNN is based on FNN and use simplified and linear inference as fuzzy inference method and error back propagation algorithm as learning rules. We use a HCM clustering and genetic algorithms (GAs) to identify both the structure and the parameters of a Multi-FNN model. Here, HCM clustering method, which is carried out for the process data preprocessing of system modeling, is utilized to determine the structure of Multi-FNN according to the divisions of input-output space using I/O process data. Also, the parame...

$\textbullet$ Human and computer interface(HCI) $\textbullet$ Voice recognition $\textbullet$ Image recognition $\textbullet$ Neural network $\textbullet$ Hopfield net

A deadzone compensator is designed for a positioning system using fuzzy logic. The classification property of fuzzy logic systems make them a natural candidate for the rejection of errors induced by the deadzone, which has regions in which it behaves differently. A tuning algorithm is given for the fuzzy logic parameters, so that the deadzone compensation scheme becomes adaptive, guaranteeing small tracking errors and bounded parameter estimates, formal nonlinear stability proofs are given to show that the tracking error is small. The fuzzy logic deadzone compensator is implemented on a positioning system to show its efficacy. 1. Deadzone Compansation 2. XY positioning table 3. Fuzzy Logic 4. Actuator nonlinearity

In this paper auto-tuning scheme of PID controller based on the reference model has been studied by immune algorithm for a process. Up to this time, many sophisticated tuning algorithms have been tried in order to improve the PID controller performance under such difficult conditions. However, in the actual plant, they are manually tuned through a trial and error procedure, and the derivative action is switched off. Therefore, it is difficult to tune. Simulation results by immune based tuning reveal that tuning approaches suggested in this paper is an effective approach to search for optimal or near optimal process control.

$\textbullet$ Introduction $\textbullet$ Background - Handel-C and Evolvable Hardware $\textbullet$ Fitter Block $\textbullet$ Hardware Implementation $\textbullet$ Total System Overview $\textbullet$ Results $\textbullet$ Conclusion and Future Works

In variable structure control algorithms, The control law used to realized the desired sliding mode dynamics is discontinuous on the switching manifold. However, due to imperfections in switching, such as time delays, the system trajectory chatters instead of sliding along the switching manifold. This chattering is undesirable because it may excite unmodeled high frequency dynamics in the physical system. In this paper, to overcome this drawback a self-organizing fuzzy sliding mode control algorithm using gradient descent method is proposed. The proposed method has the characteristics which are viewed in conventional VSC, e.g. insensitivity to a class of disturbance, parameter variations and uncertainties ill the sliding mode. To demonstrate its performance, the proposed control algorithm is applied to an inverted pendulum system. The results show that both alleviation of chattering and performance are achieved.

1. Introduction 2. Structure of BNN 3. Decision of weight value and threshold value 4. Principle of Extension in the ETL algorithm 5. Approximation problem of one circular region 6. Problem of synthetic image having four class 7. Conclusion

1. Introduction 2. Dynamic Model of Stacking Crane 3. The Path Plan of Stacking Crane 4. Design of Neural Network Predictive PID Controller 5. Result of Computer Simulation and Investigation 5. Conclusion

$\textbullet$ Proper definition of manipulability ellipsoid $\textbullet$ Volume and directional measures of manipulability $\textbullet$ Kinematic modeling as a serial connection $\textbullet$ Configuration dependent singularity $\textbullet$ Effect of nonholonomy on manipulability $\textbullet$ Effect of end-effector positioning on manipulability $\textbullet$ Effect of serial cooperation on manipulability

This paper proposes a sensor-fusion technique where the data sets for the previous moments are properly transformed and fused into the current data sets to enable accurate measurement, such as, distance to an obstacle and location of the service robot itself. In the conventional fusion schemes, the measurement is dependent on the current data sets. As the results, more of sensors are required to measure a certain physical parameter or to improve the accuracy of the measurement. However, in this approach, instead of adding more sensors to the system , the temporal sequence of the data sets are stored and utilized for the measurement improvement. Theoretical basis is il lustrated by examples and...

A quadruped stair robot introduced here plays a role in monitoring and moving some place where an operator can not reach or when he may not keep watching. It has several features that travels and poses variable position by four caterpillars and quadruped typed arms, transmits an image and command data via RF wireless and network communication. The robot can balance itself when it moves up and down on a slope by using the quadruped mechanism. The robot vision scans ahead before it moves, and the captured image is transferred to a main computer via a RF image module. The main computer analyzes the obstacle, and when it is found the obstacle, the robot avoids from the obstacle and keep moving f...

$\textbullet$ Contents 1 : PD control of an elastic joint robot $\textbullet$ Contents 2 Dynamic output feedback law without velocity measurements $\textbullet$ Contents 3 : Robust analysis for parameter uncertainties of the robot system $\textbullet$ Contents 4 : Simulation studies with a three joint robot system $\textbullet$ Contents 5 : Performance comparison with an another control law

In this paper, we focus on a configuration control method of a redundant manipulator. The configuration of a redundant manipulator has been determined by geometry constraints and additional conditions, such as obstacle avoidance and dexterity optimization. This paper also utilizes optimization, and the additional condition (or performance index) to be optimized is stiffness of the end-effector and joints' torque. Stiffness and torque may be a natural attribute to be controlled during working and those vary as manipulator configuration does. So the optimal configuration from the viewpoint of stiffness and joint torque is studied. If the servo control mechanism of the joints Is assumed to be a...

$\textbullet$ Contents 1 Introduction $\textbullet$ Contents 2 300mm OHT System $\textbullet$ Contents 3 function of OHT System $\textbullet$ Contents 4 Control Method $\textbullet$ Contents 5 Conclusion

$\textbullet$ This paper deals with obstacle avoidance of a quadruped robot with a vision system and a PSD sensor. $\textbullet$ The vision system needs for obstacle recognition toward robot. $\textbullet$ Ths PSD sensor is also important element for obstacle recognition. $\textbullet$ We propose algorithm that recognizes obstacles with one vision and PSD sensor. $\textbullet$ We also propose obstacle avoidance algorithm with map from obstacle recognition algorithm. $\textbullet$ Using these algorithm, Quadruped robot can generate gait trajectory. $\textbullet$ Therefore, robot can avoid obstacls, and can move to target point.

$\textbullet$ Statically stable walk with COG(center of gravity) $\textbullet$ Dynamically stable walk with ZMP(zero moment point) $\textbullet$ Dynamically adaptational stable walk with FRI(foot ratation indicator) $\textbullet$ Simplified inverted pendulum model approach $\textbullet$ Analysis posture of biped's foot as passive joint $\textbullet$ Stability compensation method of FRI against falling down $\textbullet$ Simulation of ZMP and FRI to real biped robot IWR-III

The Field Robot means the machinery applied for outdoor tasks in construction, agriculture, and undersea etc. In this study, to robotize the hydraulic excavator that is mostly used in construction working. we developed an interfacing hardware units of stroke sensing cylinder using magnetic sensor and estimated its performance. It is illustrated by experiment that the proposed control system by stroke sensing cylinder gives good performances in the position control.

The development of a teleoperated mobile robot, Kaerot/m2, has been described. Kaerot/m2 consists of three subsystems - a 4 wheeled mechanism with the dual reconfigurable crawler arms, a thermal image monitoring system , and an extendable long reach mast. The mechanical design, control system of Kaerot/m2 in terms of remote inspection operation at a high radiation level of the Calandria face environment has been shown. Kaerot/m2 is capable of detecting the degraded locations of the Calandria face in a remote manner.

Digital Polymer Motor (DPM) based on dielectric elastomer is presented. It includes all the supplementary parts for actuation such as micro-controller, DC-DC converter etc. DPM can be operated by itself with the program embedded and controlled via serial interface with PC. The actuator accomplishes bidirectional actuation and compliance controllability, which are important characteristics for a biomimetic artificial muscle actuator. DPM accomplish these requirements without any mechanical substitute or complicated algorithms. Its basic concepts and working principles are addressed with modeling and simulation and the compliance controllability are verified by conducting several experiments. $\textbullet$ Polymer, Dielectric, Biomimetic

Contents 1We developed a new type of lower part of the human-sized BWR (biped walking robot) driven by a new actuator based on the ball screw which has high strength and high gear ratio. Each leg of the robot is composed of three pitch Joints and one roll joint. In all, a 8 degree-of-freedom robot was developed. A new type of actuator for the robot is proposed, which is composed of four bar link mechanism driven by the ball screw. The BWR was designed to walk autonomously by adapting small DC motors for the robot actuators and has an embeded controller system including host computer, batteries and motor drivers. In the performance test, we had basic stable walking data so far, but we f...

$\textbullet$ Current status of reliability estimation techniques for robot systems $\textbullet$ Description of Bayesian Belief Nets(BBN) With an example $\textbullet$ Description of proposed reliability estimation method which combines all information necessary $\textbullet$ Application example of the method : the reactor inspection robot $\textbullet$ Results from the reliability estimation of reactor inspection robot $\textbullet$ Discussion on the proposed method (advantages and problems) $\textbullet$ Conclusion

$\textbullet$ Contents 1. Introduction $\textbullet$ Contents 2. System Configuration $\textbullet$ Contents 3. Robot Kinematics $\textbullet$ Contents 4. Shoe outsole shape display program and creating data $\textbullet$ Contents 5. Conclusions

1. Introduction 2. Petri-Net 3. Dynamic environment recognition 4. Simulation 5. Conclusion. References

$\textbullet$ Multisensor $\textbullet$ Localization $\textbullet$ GPS $\textbullet$ Dead Reckoning $\textbullet$ Indoor Environment

1. Introduction 2. Artificial Immune Networks and Navigation Algorithm 3. Obstacle Avoidance and Goal Approach Behavior 4. Weights Adjustment Using Neural Network 5. Velocity Control and Local Minimum Avoidance 6. Simulation 7. Conclusion

1. Introduction 2. Computed Torque Controller 3. Controller Design 4. Simulation and Experiment 5. Conclusions

$\textbullet$ Robot fingers $\textbullet$ Kinematics and dynamics of robot fingers $\textbullet$ 3 bar linkages $\textbullet$ Microprocessor control1er $\textbullet$ Serial communication $\textbullet$ Simulation Studies

The objective of this study is to propose a lane changing and keeping method on a curved road for an automatic guidance of a vehicle. It is well known that the speed control of a vehicle in a curved road is essential in terms of vehicle stability and passenger safety because centrifugal force makes a vehicle to be on out of lane. And it is also natural to avoid the collision with other cars or obstructions with keeping the stability and drivability. The vehicle pose and the road curvature were calculated by geometrically fusing sensor data from camera image, tachometer and steering wheel encoder though the Perception Net in which not only the state variables, but also the corresponding uncer...

1. Introduction 2. Wall following 3. Obstacle Avoidance 4. Experimental Results 5. Conclusion

One of the most important functions of a biped robot is to walk naturally like human. For the human being, toe is very important joint in order to walk naturally. Thus, for a biped robot, the existence of toe joint much affects gait pattern generation and contributes to natural walking, which is similar to the human gait or faster walking like running. Since a conventional biped robot has the feet which consist of soles without toes, it seems difficult to walk naturally. For realizing the gait to be similar to human one, toes are necessary to the biped robot. In this paper, the effect of the toe joint for gait pattern generation is studied. In order to find the effect of toe joint, a biped r...

In this paper, a kinematic optimal design of a new paralleltype rolling mill based upon two Stewart platforms manipulator is investigated. The objective of this new parallel-type rolling mill is to permit an integrated control of the strip thickness, strip shape, pair crossing angle, uniform wear of the rolls, and tension of the strip. A manipulability measure, as the ratio of the manipulability ellipsoid volume and the condition number of a split Jacobian matrix, is defined. Two kinematic parameters, the radius of the base and the angle between two neighboring joints, are optimally designed by maximizing the global manipulability measure in the entire workspace.

$\textbullet$ An autonomous mobile robot was controlled through the Internet. $\textbullet$ For the direct control, the feedback data should be provided properly. $\textbullet$ Therefore, an efficient communication scheme should be defined. $\textbullet$ To overcome the transmission delay, the highly abstracted message format was used. $\textbullet$ As the feedback data, the real image sequences may suffer the transmission delay or loss of content. $\textbullet$ To resolve this, the feature information was used to construct the synthetic feedback information. $\textbullet$ By doing this, the operator could feel the hands-on control with an Internet-based robot.

This paper is willing to propose a method of wall tracing, a moving algorithm between two points, when a Cleaning robot between two points moves. We use the information about obstacles and wall side in calculating different weight vector the each infrared sensors in cleaning robot. Therefore the cleaning robot navigates the wall. In the algorithm of wall tracing, the value of error in angle and distance between starting point and ending point should be zero to navigate the wall safely. The propriety of algorithm of the wall tracing is simulated as this method by using Visual C++. The result simulated proved to the simulation.

$\textbullet$ Introduction $\textbullet$ Physical model of beam pattern $\textbullet$ Background of ultrasonic sensor sensing $\textbullet$ System unit $\textbullet$ Experimental results $\textbullet$ Conclusion $\textbullet$ References

$\textbullet$ Introduction $\textbullet$ trend of walking robot $\textbullet$ Characteristics of waist-jointed walking robot $\textbullet$ simulation $\textbullet$ conclusion

This paper aims to derive a mathematical model of the dynamics of handling tasks in robot fingers which stably grasps and manipulates a rigid object with some dexterity. Firstly, a set of differential equation describing dynamics of the manipulators and object together with geometric constraint of tight area-contacts is formulated by Lagrange's equation. Secondly, problems of controlling both the internal force and the rotation angle of the grasped object under the constraints of tight area-contacts are discussed. The effect of geometric constraints of area-contacts on motion of the overall system is analyzed and a method of computer simulation for differential-algebraic equations of overall...

Recently, the more advanced control technologies are required to deal with the fast and accurate motion in manipulators. For these requirements, many manipulator control methods have been developed such as a computed torque method. This paper proposes a design method, a two-degrees-of-freedom internal model control (TDOF IMC), of the manipulator position control based on combination of the one-degree-of-freedom internal model control (ODOF IMC) system and the disturbance observer. The proposed control scheme is implemented for the position control, which leads the slave manipulator to the desired location by the master arm. The experimental results are presented and discussed through the imp...

It is greatly important to understand the mechanics of AFM-based nanorobotic manipulation for efficient and reliable handling of nanoparticles. Robust motion control of an AFM-based nanorobotic manipulation is much challenging due to uncertain mechanics in tip-sample interaction dominated by surface and intermolecular force and limitations in force and visual sensing capability to observe environment. This paper investigates a nanomechanic modeling which enables simulation for AFM-based nanorobotic manipulation , and its application to motion planning of an AFM-based nanorobot. Based on the modeling of intermolecular and adhesion force in AFM-based nanomanipulation, the behaviors of an AFM ca...

This paper presents a macro/micro flip chip mounting head system for precise force control. In the proposed macro/ micro system, the macro actuator is conventional do servomotor with a ball screw mechanism and the micro actuator is a voice coil motor(VCM) that consists of four NdFeB magnets and a winded moving coil. For force control, a sensitive strain-gauge force sensor is mounted in the micro actuator. Through harmonic motion between macro and micro actuator, we would like to get precise contact force control when small sized flip chip is mounted on flexible substrate in high speed. In order to show the effectiveness of the proposed macro/micro flip chip mounting head system, we com...

$\textbullet$ Development of a HILS System as a High-Speed Prototyper $\textbullet$ Introduction of Major Components $\textbullet$ Design Procedure of Control Algorithm Using the HILS System $\textbullet$ A Design Example: Collision Detection

1. Introduction 2. Vision system 3. Effect of brightness variations 4. Color classifier using multi-layer neural network 5. Experimental result of color classifier 6. Applications for robot soccer system 7. Conclusion

$\textbullet$ modularized personal robot controller $\textbullet$ module interface $\textbullet$ The structure of the virtual machine $\textbullet$ RPL (Robot Programming Language) $\textbullet$ compiler $\textbullet$ Port Configuration $\textbullet$ API

Autonomous underwater vehicles (AUVs) are unmanned underwater vessels to investigate sea environments, oceanography and deep-sea resources autonomously. Docking systems are required to increase the capability of the AUVs to recharge the batteries and to transmit data in real time in underwater. This paper presents a visual servo control system for an AUV to dock into an underwater station with a camera. To make the visual servo control system , this paper derives an optical flow model of a camera mounted on an AUV, where a CCD camera is installed at the nose center of the AUV to monitor the docking condition. This paper combines the optical flow equation of the camera with the AUV's equation o...

In this paper, the scheme of fuzzy system construction using GA(genetic algorithm) and FCM(Fuzzy c-means) clustering algorithm is proposed for TSK(Takagi-Sugeno-Kang) type fuzzy system. in the structure identification, input data is trans-formed by PCA(Principal Component Analysis) to reduce the correlation among input data components. And then, the number of fuzzy rule is obtained by a given performance criterion. In the parameter identification, the premise parameters are optimally searched by GA. On the other hand, the consequent parameters are estimated by RLSE(Recursive Least Square Estimate) to reduce the search space. From this, one can systematically obtain optimal parameter and the v..

We propose a novel neuro-fuzzy system based on an efficient clustering method. It is a very useful method that improves the performance of a fuzzy model with small number of fuzzy rules. The fuzzy clustering methods are studied in the wide range of fuzzy modeling. One of them, the grid partition method has problem of exponentially increasing number of rules when the dimension of input or number of membership function is linearly increased. On the other hand, the Expectation Maximization algorithm is an efficient estimation for unknown parameters of the Gaussian mixture model. Here it is noted that the parameters can be used for fuzzy clustering method. In a fuzzy modeling, it is desired that...

Evolutionary Algorithm is the general method that can search the optimum value for the various problems. Evolutionary method consists of random selection, crossover, mutation, etc. Since the next generation is selected based on the fitness values, the crossover between chromosomes does not have any restrictions. Not only normal marriage but also consanguineous marriage will take place. In human world, consanguineous marriage was reported to cause various genetic defects, such as poor immunity about new diseases and new environment disaster, These problems translate into searching for the local optimum, not the global optimum. So, a new evolutionary algorithm is needed that prevents traps to...

$\textbullet$ Lane detection by TFALDA $\textbullet$ SVM for large scale data and multiclass classification problem $\textbullet$ TLC Classification $\textbullet$ Lateral offset estimation by IPT $\textbullet$ Lane departure warning by a fuzzy system $\textbullet$ Experimental results by HiLS $\textbullet$ Conclusion

In practical control area, there are many examples with multiple objectives which may conflict or compete with each other like overhead crane control, automatic train operation, and refuse incinerator plant control, etc. These kinds of control problems are called multiobjective control problems, where it is difficult to provide the desired performance with control strategies based on single-objective optimization. Because the conventional control theories usually treat the control problem as the single objective optimization problem , the methods are not adequate to treat the multiobjective control problems. Particularly, in case of large scale systems or ill-defined systems, the multiple obj..

$\textbullet$Introduction $\textbullet$Previous Works $\textbullet$IKF and IIMM Method $\textbullet$Simulation Results $\textbullet$Conclusions

$\textbullet$ In this paper, the method that the coefficients of wavelet transform and the parameters of wavelet function is simultaneously self-tuned using mGA is proposed. $\textbullet$ Figure shows actual output and model output.

System configuration 1. First is the image acquisition part 2. Second part is for creating the vector image and for processing the obtained facial image. This part is for finding the facial area from the skin color. To do this, we can first find the skin color area with the highest weight from eigenface that consists of eigenvector. And then, we can create the vector image of eigenface from the obtained facial area. 3. Third is recognition module portion.

The temperature of Kimchi-refrigerator is controlled by the wishing condition the original taste of Kimchi, the fast precocity of Kimchi. In this paper we studied the controlling temperature of Kimchi-refrigerator. The controlling temperature of Kimchi refrigerator is based on microcontroller which control On/Off. In this paper, Fuzzy logic was used to control the temperature of Kimchi-refrigeration. I will apply to fuzzy logic control to have simple rule control on the place of On-Off control system in the past. This device controls the in order to measure several temperature of two refrigeration plant in Kimchi refrigerator solenoid valve in refrigeration plant. A solenoid valve...

$\textbullet$introduction $\textbullet$CO-evolution Algorithm $\textbullet$Subsumption Architecture $\textbullet$Neural Network $\textbullet$Khepera Robot

1. Introduction 2. Information Granules 3. The proposed fuzzy modeling scheme 4. Simulation: Iris data 5. Conclusions

●NGMS ●Digital Factory ●S-Diagnostics ●Fuzzy Logic ●Neural Network ●DPNN ●Data Mining & Knowledge Discovery

This study proposes a new conceptual Hybrid Electric Brake System (HEBS) which overcomes the problems of the conventional hydraulic brake system. The HEBS uses the contactless brake system when vehicle speed is high to obtain superior braking force by eddy current, which is induced in pole area by magnetic flux through a rotating conductive disk. On the contrary, when a vehicle speed is low, contact type brake system such as conventional hydraulic brake system makes higher braking force. HEBS transfers faster a braking intention of drivers and guarantees a safety of drivers because of vehicle dynamic superior controllability. Braking torque analysis is peformed based upon Lee. Barn\ulcornermath...

A real-time vehicle simulation system is a key element of a driving simulator because accurate prediction of vehicle motion with respect to driver input is required to generate realistic visual, motion, sound and proprioceptive cues. In order to predict vehicle motion caused by various driving actions of the driver on board the simulator, the vehicle model should consist of complete subsystems. On this paper, a tracked vehicle dynamic model with high efficiency and effectiveness is introduced that has been implemented on a training driving simulator. The multi-body vehicle model is based on recursive formulation and has been automatically generated from a symbolic computation package develop...

To improve the performance of the tracked vehicle system, we examined the feasibility of using the preview control for the tracked vehicles suspension system. We proposed a method to apply a linear optimal preview control to the tracked vehicle system. To avoid the complexity of modeling the track subsystem and kinematical nonlinearity in the trailing arm suspension, we classified these as unknown dynamics and disturbances. We used the Time Delay Control(TDC) method to make sprung mass dynamics follow that of linear preview controlled tracked vehicle model by compensating the uncertainties and disturbances. We have verified by the computer simulation that the proposed method shows good robus...

The disc spinning machine is a specific production machine for discs of automobile. Using this machine, we could product superior wheels in hardness and strength to the press method and the machine made process time shorten by one-pass spinning. But, the spinning machine became huge because it needed maximum pressure during the process and this can badly affect the lifetime of components. In this paper, hydraulic control system was designed to make up for defects of spinning machine and to shorten overusing power. Experimental hydraulic control system was used to simulate the wheel disc spinning process and the control performance was evaluated for the required forces and positions.

In this paper, we introduce a system that detects all kinds of violations at a street intersection such as red light running, speed violation, stop line violation and lane violation by tracking individual vehicles. Two cameras are used for defecting violations. One is an analog camera for real-time tracking and the other is a digital camera for license plate reading. This system is connected to the traffic signal system controller and monitors the red, arrow, yellow and green phases of an approach. Two loops in the road are used to detect vehicle approach and speed. The system takes pictures of all vehicles passing a second loop and tracks the vehicles until they go out a street intersection...

When the teleoperated system has a signal transmission time delay between slave and control system , the system stability as well as the position tracking and the force reflecting performances are likely to be deteriorated. This paper proposed a bilateral control scheme and a controller design method for the teleoperated control systems with a signal transmission time delay. The proposed controller is a modified type of smith predictor for the time delay in each input and output stage of an open loop unstable plant. The proposed controller not only satisfies the system internal stability but also improves the position tracking performance with disturbance rejection capability. The simulation...

$\textbullet$ Introduction $\textbullet$ Teleoperation System $\textbullet$ Stiffness Identification $\textbullet$ Frictional Characteristic Identification $\textbullet$ Conclusions

Introduction $\textbullet$Teleoperation System for Wiping Operation $\textbullet$Virtual Force Generation Algorithm $\textbullet$Virtual Velocity Generation Algorithm $\textbullet$Force-Force Control Technique $\textbullet$Experimental Results and Discussion $\textbullet$Conclusions

$\textbullet$In case of using overhead camera system, mobile robot moves under static working area. $\textbullet$Mobile robot must use onboard camera system to work under wide working area. $\textbullet$Mobile robot must have wireless LAN to remove restriction of movement. $\textbullet$Onboard camera system must have wireless LAN environment. $\textbullet$We develop embedded vision platform using onboard camera.

In remote control of telerobotics equipment, the real-time visual feedback is necessary in order to facilitate real-time control. Because of the network congestion and the associated delays, the real-time image feedback is generally difficult in the public networks like internet. If the remote user is not able to receive the image feedback within a certain time, the work performance may tend to decrease, and it makes difficulties to control of the telerobotics equipment. In this paper, we propose an improved visual feedback scheme over the internet for telerobotics system. The size of a remote site image and its quality are adjusted for efficient transmission. The constructed system has a be...

$\textbullet$ Concept of Adaptive Scaling Factor $\textbullet$ Initial Value and Boundary Conditions $\textbullet$ Adaptive Scaling Factor $\textbullet$ Simulation and Experimental Results

$\textbullet$ Evaluation techniques of mobility $\textbullet$ Position characteristics $\textbullet$ Path characteristics $\textbullet$ Evaluation techniques of navigation $\textbullet$ Standard measurement environment $\textbullet$ Evaluation program and equipments $\textbullet$ A measurement experiment

In this paper, a software framework is proposed for the personal robot located on home network. The proposed software framework is divided into four layers-a transparency layer, a behavior layer, a distributed task layer, and a mission scenario layer. The transparency layer consists of a virtual machine for platform transparency, and a communication broker for communication transparency among behavior modules. The communication architecture includes both server/client communication and publisher/subscriber communication. A mission scenario is assumed to be a composition of sequentially planned distributed tasks. In addition to the software framework, a new concept, personal robot design cent...

In this paper a new framework is presented for developing the personal robot being used in home environments. We mainly focus on the system engineering technology such as the modularization and standardization. Effective ways for interfacing among modules are addressed regarding compatibility in hardware and software, and as a result a personal robot platform named DHR I is built. The robot is composed of five modules such as brain, mobile, sensor, vision, and user interface modules. Each module can be easily plugged in the system in a mechanical as well as electrical sense by sharing the communication protocol with IEEE1394 FireWire. &n...

This paper describes a stationary position control of a wheeled blimp. The wheeled blimp is composed of a blimp filled with helium gas and a wheeled vehicle part. The wheeled blimp is designed to enable both flying in the air and standing on the floor. The wheeled blimp stands on the floor keeping its balance. However, it is difficult for the wheeled blimp to maintain a stationary position in standing phase since the stationary blimp system responds sensitively to air current even in indoor environments. In order to keep the stationary position restraining motion caused by an uncertain airflow, a position controller for the wheeled blimp is needed. Controller design based on dynamic m...

. Mobility analysis for overconstrained mechanisms is not clearly explained. . Aims at mobility analysis of overconstrained mechanisms . Representative screws is employed as a tool . A method to identifying the representative screw is introduced . Mobility analysis for several overconstrained parallel mechanisms and mobile robots

$\textbullet$ Functionally modularized robot $\textbullet$ Free from defects of monolithic system $\textbullet$ Modularization based on Reactive paradigm $\textbullet$ Virtual Machine $\textbullet$ Network topology $\textbullet$ Fractionization of robot development scheme $\textbullet$ Development for commercialization of personal robot

Recent trends in internet access to the device network require that information be provided from anywhere in the enterprise. One then needs to integrate both device network protocol and data network protocol to realize Virtual Device Network (VDN). Interoperability between devices and equipments is essential to enhance the quality and the performance of VDN. LonWorks technology is incorporated as device network protocol for interoperability. VDN integrating both device network and data network has varying time delay. Inherent varying time delay of VDN can significantly degrade the reliability of Distributed Control System. This study investigates the transmission characteristics of VDN and s...

Uncertain time delay happens when the process reads the sensor data and sends the control input to the plant located at a remote site in distributed control system. As in the case of data network using TCP/IP, VDN that integrates both device network and data network has uncertain tim e delay. Uncertain time delay can cause degradation in stability of distributed control system based on VDN. This paper investigates the transmission characteristic of VDN and suggests a control scheme based on the Smith's predictor to minimize the effect of uncertain time delay. The validity of the proposed control scheme is demonstrated with tracking position control of experiments.

$\textbullet$ Introduction $\textbullet$ The Structure and Operation of an Electronic Jacquard $\textbullet$ Design of Real-Time Error Detection System $\textbullet$ The System Realization and Verification $\textbullet$ Conclusion

$\textbullet$ Magnetic floor hinge $\textbullet$ Recovering torque $\textbullet$ Eddy Currents $\textbullet$ Magnetic damper $\textbullet$ Optimal design $\textbullet$ Cost optimization

To apply induction hardening method to a press die having 3-D free surface, the induction hardening tool moves on a press die above 1～2mm gap with constant velocity. Since the induction hardening process requires its own hardening path for each die, a direct teaching method which generates working path directly guided by operators is more suitable than an offline method using CAD/CAM data. The direct teaching apparatus in this work includes a teaching tool with a force/torque sensor and data processing computer to finally generate robot's Induction hardening program , in direct teaching operation, an operator teaches working path maintaining contact with surface of press die by holding...

$\textbullet$ Introduction: Service robot $\textbullet$ Design of the Guide Service Mobile Robot $\textbullet$ Path tracking algorithm $\textbullet$ Path recognition algorithm $\textbullet$ Localization $\textbullet$ Guide lever $\textbullet$ Conclusions: A mobile robot was developed as a service robot

In this paper a passive compliant joint (PCJ) for human-friendly service robots is presented. The PCJ is composed of a magneto-rheological damper and a spring for elasticity. In the magneto-rheological damper, a braking force proportional to the electric current is generated. It works as a viscous damper by controlling the electric current according to the angular velocity of spring displacement. The compliance property and position control of the PCJ are verified through experiments and simulations to a single DOF simple arm with the PCJ.

$\textbullet$ A bone-mountable surgical robot system for hip surgery $\textbullet$ A simple gauge-based registration method $\textbullet$ A proposed surgical procedure $\textbullet$ Evaluation method for position/orientation accuracy $\textbullet$ Evaluation method for surface conformity $\textbullet$ The performance evaluation of ARTHROBOT $\textbullet$ Summary

$\textbullet$ Intoduction : Control architecture of PSR $\textbullet$ Layered functionality diagrams $\textbullet$ Class diagrams $\textbullet$ Petri-net based configuration diagram $\textbullet$ Experiments $\textbullet$ Conclusions

$\textbullet$ Lack of exact dynamic modeling of omni-directional mobile robots $\textbullet$ The exact dynamic model of the mobile robots including the wheel dynamics $\textbullet$ The joint-space and operational-space dynamic model of the mobile are dervied as anaytical forms $\textbullet$ Comparison between the discrepancy of the incomplete dynamic and the exact dynamic $\textbullet$ Useful aspect of redundant actuation

$\textbullet$ Introduction $\textbullet$ A Robotic Cane "RoJi" $\textbullet$ Shared Navigation Control $\textbullet$ Autonomous Control Mode $\textbullet$ User Control Mode $\textbullet$ Navigation $\textbullet$ Summary

In this paper, we propose an interactive genetic algorithm (IGA) to implement an automated 2D avatar synthesis. The IGA technique is capable of expressing user's personality in the avatar synthesis by using the user's response as a candidate for the fitness value. Our suggested IGA method isapplied to creating avatars automatically. Unlike the previous works, we introduce the concepts of 'hidden population', as well as 'primitive avatar' and 'simplified genotype', which are used to overcome the shortcomings of IGA such as human fatigue or reliability, and reasonable rates of convergence with a less number of iterations. The procedure of designing avatar models consists of two steps. The firl...

In this paper auto-tuning scheme of weight function in the neural networks has been suggested by immune algorithm for nonlinear process. A number of structures of the neural networks are considered as learning methods for control system. A general view is provided that they are the special cases of either the membership functions or the modification of network structure in the neural networks. On the other hand, since the immune network system possesses a self organizing and distributed memory, it is thus adaptive to its external environment and allows a PDP (parallel distributed processing) network to complete patterns against the environmental situation. Also. It can provi..

1. Introduction $\textbullet$ Immune system is an evolutionary biological system to protect innumerable foreign materials such as virus, germ cell, and etc. Immune algorithm is the modeling of this system's response that has adaptation and reliableness when disturbance occur. $\textbullet$ In this paper, Immune algorithm is applied to the Steering Controller of AGV in container yard. $\textbullet$ And then the computer simulation result from the viewpoint of yaw rate and lateral displacement is analyzed and compared with result of conventional PID controller. 2. Dynamic Modeling of AGV $\textbullet$ Dynamic modeling has high degree of freedom. But, basic assumptions of this model are that the center of gravity(CG)...

$\textbullet$ In order to operate EP actuator, high voltage is applied to that. $\textbullet$ Our previous control algorithm for an EP actuator was PI method with constant gain. $\textbullet$ But this Control method is limitation such as rising time, steady-state error, and settling time. $\textbullet$ A neural network algorithm is proposed for improvement of performance. $\textbullet$ To do this, neural network algorithm changes the gain of PI control. $\textbullet$ In order to efficient drive EP actuator, the gain is changed at some point. $\textbullet$ Neural network method improve the performance of operation.

1. Introduction 2. Property of FPGA 3. Evolvable Hardware (EHW) 4. Genetic Algorithm Processor (GAP) 5. State Machine 6. Conclusion

This paper presents an application of rule based expert system to GDS. Expert system is a computer-based system that uses knowledge, facts, and reasoning techniques to solve problems that normally require the abilities of human experts. Expert system can be classified as synthesis expert system, classification expert system or combination of these. The Expert system of GDS belongs to the synthesis type of expert system. GDS is a graphic design environment that automates complex and time consuming processes in the design phase of the grating production. There are methodical procedures in the design phase of gratings and each process needs the know-how of a skillful designer. User has to know...

Calculation unit and peripheral units that are used to make the position controller are embedded to one chip FPGA. $\textbullet$ Feed-forward PID controller and interpolator in the calculation unit mitigate frequent context switching. $\textbullet$ The peripheral units reduce the size of the joints position control board. $\textbullet$ Because the calculation unit is designed with pipeline structure, it has the advantages to apply to the multi joints.

$\textbullet$ Introduction $\textbullet$ Motivation $\textbullet$ EUDP/IP protocol $\textbullet$ Experiments $\textbullet$ Conclusion $\textbullet$ Reference

The HFC network is one of the most useful network for high-speed data communication. Optical node unit, Trunk branch amplifier, Tap-offs, and Uninterrupted power supplies (UPS) are in this network. Since power failures of the equipments in the network is crucial, UPS should be periodically monitored and controlled by the Host to prevent long power failures. This paper describes a UPS management system which is to monitor and control UPS to supply electric power to ONUs and TBAs in the network.

The digital electronic switching system has some problems, when this system processes OAM(Operation, Administration And Maintenance) messages about the fault, the traffic, the account, and the performance, etc. , at the present. Therefore, we studied on Methods that could process OAM messages out of all digital electronic switching systems and, first of all, developed the MGS (Message Gathering System) to be able to accept and process the fault message of OAM messages out of all digital electronic switching systems in real time.

1. Introduction 2. Image Transmission 3. Hardware instrument 4. Image processing and control command transmission 5. System Configuration 6. Conclusion

Web-based virtual machine/manufacturing system (VMS) utilizes Virtual Device Network (VDN.) VDN inevitably involves the implementation of Distributed Monitoring and Control Networks (DMCN). In general, one needs to integrate device (control) network and IP network to realize DMCN over IP network or internet, which can be viewed as a VDN. In this study, LonWorks networking technology is used for device network and the transmission characteristics of LonWorks/IP-based VDN is investigated. A method to minimize the transmission delay in the LonWorks/IP networks is also suggested.