• 제목/요약/키워드: discrete time-varying system

검색결과 104건 처리시간 0.025초

Robust $H_8$State Feedback Congestion Control of ATM for linear discrete-time systems with Uncertain Time-Variant Delay

  • Kang, Lae-Chung;Kim, Young-Joong;Lim, Myo-Taeg
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2004년도 ICCAS
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    • pp.1758-1763
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    • 2004
  • This paper focuses on congestion control for ATM network with uncertain time-variant delays. The time-variant delays can be distinguished into two distinct components. The first one is represented by time-variant queueing delays in the intermediate switches that are occurred in the return paths of RM cells. The next one is a forward path delay. It is solved by the VBR model which quantifies the data propagation from the sources to the switch. Robust $H_8$ control is studied for solving congestion problem with norm-bounded time-varying uncertain parameters. The suitable robust $H_8$ controller is obtained from the solution of a convex optimization problem through LMI technique.

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제한 동작 로봇의 강성도 적응성을 갖는 하이브리드 동적 제어에 관한 연구 (Hybrid dynamic control approach for constrained robot motion control with stiffness adaptability)

  • 임미섭;임준홍
    • 제어로봇시스템학회논문지
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    • 제5권6호
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    • pp.705-713
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    • 1999
  • In this paper, we propose a new motion and force control methodology for constrained robots as an approach of hybrid discrete-continuous dynamical system. The hybrid dynamic system modeling of robotic manipulation tasks with constraints is presented, and the hybrid system control architecture for unconstrained and constrained motion system with parametric uncertainties is synthesized. The optimal reference stiffness of robot manipulator is generated by the hybrid automata as a discrete state system and the control behavior of constrained system which has poor modeling information and time-varying constraint function is improved by the constrained robots as a continuous state system. The performance of the proposed constrained motion control system is successfully evaluated via experimental studies to the constraint tasks.

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심박변동신호의 시변파워스펙트럼 추정을 위한 Time-Frequency 알고리즘에 관한연구 ("A study on the Time-Frequency Algorithm to estimate time-varying Power Spectrum of Heart Rate Variability Signals")

  • 박찬석;이정환;이준영;김준수;이명호
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1998년도 추계학술대회
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    • pp.185-186
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    • 1998
  • The discrete Wigner-distribution(DWD) was implemented for the time-frequency analysis of heart rate variability signals. The smoothed cross-DWD was used to estimate time-varying power spectrum. Spurious cross-terms were suppressed using a smoothing data window and a Gauss frequency window. The DWD is very easy to implement using the FFT algorithm. Experiment show that the DWD follows well the instantaneous changes of spectral content of heart rate variability signals, which characterize the dynamics of autonomic nervous system response.

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충격성 잡음이 혼입되는 추적계통의 적응 추정 개선 (An Improvement in Adaptive Estimation for a Tracking System with Additive Measurement Impulse noise)

  • 윤현보;박희창
    • 한국통신학회논문지
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    • 제12권5호
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    • pp.519-526
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    • 1987
  • 백색 잡음에 알 수 없는 크기를 갖는 바이어스와 충격성 잡음이 부가되어 혼입되는 상황에서 적절한 동작특성을 갖는 적응 추정 계통을 제안하였다 측정계통에 알 수 없는 바이어스가 인가되었을 때 R.L.Moose에 의해 제안된 적응 추정 이론에 Feed Forward Loop를 부가 삽입하여 충격성 잡음이 혼입되었을 때도 시간 변화 가중치(Time Varying Weights)의 합이 0이 되지 않고 적응 추정이 가능한 방법이다. 추정 기준 벡터의 요소 값들을 충분히 큰 값을 줄 수 있어 측정 신호에 부가된 어떤 크기의 바이어스와 충격성 잡음에도 적응 추정이 중단되지 않고 효율적으로 진행되는 컴퓨터 시뮬레이션 결과를 얻었다.

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GPGPU에 의한 음장의 가시화에 관한 연구 (A study on the visualization of the sound field by using GPGPU)

  • 이채봉
    • 한국전자통신학회논문지
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    • 제5권5호
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    • pp.421-427
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    • 2010
  • 본 연구에서는 음파전달의 가시화를 위해 고속 연산장치인 GPU(Graphics Processing Unit)를 이용하여 실시간 처리를 하였으며 이산 호이겐스 모델법을 사용하여 시뮬레이션 하였다. 실시간 처리와 2차원 가상 음장내의 반사물이나 음원의 상태를 변경하여 실재 음장과 같은 음파전달의 가시화를 하였다. 그 결과, 음파가 반사물에 의해 반사되는 형태나 반사물에서 회절하는 형태가 확인되었다.

PMSM Servo Drive for V-Belt Continuously Variable Transmission System Using Hybrid Recurrent Chebyshev NN Control System

  • Lin, Chih-Hong
    • Journal of Electrical Engineering and Technology
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    • 제10권1호
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    • pp.408-421
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    • 2015
  • Because the wheel of V-belt continuously variable transmission (CVT) system driven by permanent magnet synchronous motor (PMSM) has much unknown nonlinear and time-varying characteristics, the better control performance design for the linear control design is a time consuming job. In order to overcome difficulties for design of the linear controllers, a hybrid recurrent Chebyshev neural network (NN) control system is proposed to control for a PMSM servo-driven V-belt CVT system under the occurrence of the lumped nonlinear load disturbances. The hybrid recurrent Chebyshev NN control system consists of an inspector control, a recurrent Chebyshev NN control with adaptive law and a recouped control. Moreover, the online parameters tuning methodology of adaptive law in the recurrent Chebyshev NN can be derived according to the Lyapunov stability theorem and the gradient descent method. Furthermore, the optimal learning rate of the parameters based on discrete-type Lyapunov function is derived to achieve fast convergence. The recurrent Chebyshev NN with fast convergence has the online learning ability to respond to the system's nonlinear and time-varying behaviors. Finally, to show the effectiveness of the proposed control scheme, comparative studies are demonstrated by experimental results.

부정류 흐름에서 상수관망 수질해석을 위한 동역학적 모형의 개발 (Development of a Dynamic Model for Water Quality Simulation during Unsteady Flow in Water Distribution Networks)

  • 최두용;조원철;김도환;배철호
    • 상하수도학회지
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    • 제26권5호
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    • pp.609-617
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    • 2012
  • A dynamic water quality model is presented in order to simulate water quality under slowly varying flow conditions over time. To improve numerical accuracy, the proposed model uses a lumped system approach instead of extended period simulation, unlike the other available models. This approach can achieve computational efficiency by assuming liquid and pipe walls to be rigid, unlike the method of characteristics, which has been successfully implemented in rapidly varying flows. The discrete volume method is applied to resolve the advection and reaction terms of the transport equation for water quality constituents in pipes. Numerical applications are implemented to the pipe network examples under steady and unsteady conditions as well as hydraulic and water quality simulations. The numerical results are compared with EPANET2, which is a widely used simulation model for a water distribution system. The model results are in good agreement with EPANET2 for steady-state simulation. However, the hydraulic simulation results under unsteady flows differ from those of EPANET2, which causes a deviation in water quality prediction. The proposed model is expected to be a component of an integrated operation model for a water distribution system if it is combined with a computational model for rapidly varying flows to estimate leakage, pipe roughness, and intensive water quality.

Opportunistic Spectrum Access with Discrete Feedback in Unknown and Dynamic Environment:A Multi-agent Learning Approach

  • Gao, Zhan;Chen, Junhong;Xu, Yuhua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권10호
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    • pp.3867-3886
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    • 2015
  • This article investigates the problem of opportunistic spectrum access in dynamic environment, in which the signal-to-noise ratio (SNR) is time-varying. Different from existing work on continuous feedback, we consider more practical scenarios in which the transmitter receives an Acknowledgment (ACK) if the received SNR is larger than the required threshold, and otherwise a Non-Acknowledgment (NACK). That is, the feedback is discrete. Several applications with different threshold values are also considered in this work. The channel selection problem is formulated as a non-cooperative game, and subsequently it is proved to be a potential game, which has at least one pure strategy Nash equilibrium. Following this, a multi-agent Q-learning algorithm is proposed to converge to Nash equilibria of the game. Furthermore, opportunistic spectrum access with multiple discrete feedbacks is also investigated. Finally, the simulation results verify that the proposed multi-agent Q-learning algorithm is applicable to both situations with binary feedback and multiple discrete feedbacks.

구속조건이 있는 시스템에 대한 이동구간제어기의 지수 안정성과 실현 가능성 (Exponential Stability and Feasibility of Receding Horizon Control for Constrained Systems)

  • Jae-Won Lee;Wook Hyun Kwon
    • 제어로봇시스템학회논문지
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    • 제4권5호
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    • pp.567-573
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    • 1998
  • 본 논문에서는 입력과 상태변수에 hard constraint가 있는 이산시간 시스템에 대한 새로운 이동구간 제어기를 제안한다. 제안된 이동구간제어기가 terminal ellipsoid constraint를 이용하여 지수 안정성(exponential stability)을 보장함을 보인다. Feasibility를 증가시키기 위하여 시스템을 안정 모드와 불안정 모드로 바꾸는 방법, constraint를 완화하는 방법을 제안한다. Constraint를 완화할 때 constraint를 만족시키지 못하는 부분의 성능을 개선시키는 방법을 제안하고 예제를 통해서 몇 가지 제안한 방법들을 비교한다.

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시간 지연 시스템에 대한 툴박스와 그 응용 (Time-Delay System Toolbox and its Application)

  • Kwon, Wook-Hyun;Kim, Arkadii;Han, Soo-Hee;Vladimir Pimenov;Andrew Lozhnikov;Olga Onegova
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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    • pp.147-150
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    • 1998
  • The report presents basic functions of Time-delay System Toolbox (for MATLAB) -the general-purpose software package for Computer Aided Design of control systems with delays. The Toolbox is a collection of algorithms, expressed mostly in m-files for simulating and analysis of MIMO linear and nonlinear systems with discrete and distributed (time-varying) delays.

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