• Journal of applied mathematics & informatics
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• 제18권1_2호
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• pp.1-23
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• 2005

The decentralized static output feedback design problem is considered. A constrained trust region method is developed that solves this optimal control problem when a complete set of state variables is not available. The considered problem is interpreted as a non-linear (non-convex) constrained matrix optimization problem. Then, a decentralized constrained trust region method is developed for this problem class exploiting the diagonal structure of the problem and using inexact computations. Finally, numerical results are given for the proposed method.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2007년도 추계학술대회논문집
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• pp.127-132
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• 2007

In this paper, to overcome local damages of structures, an uncertainty of structural model, installing sensors of structures, and economics of building system, decentralized semi-active magnetorheological(MR) damper using the displacement or velocity transferred to the response of floor installed damper is proposed. Relative magnitude between the control force of dampers and the story shear force is difined as design variables and the performance indices response spectra analysis through nonlinear time history analysis excited by seismic loads is performed according to this design variables. And the performance of this decentralized MR damper is compared with previous centralized LQR control algorithm using 3-stories benchmark building structure excited by El Centro (1940, N.S) in order to evaluate the application of building structures.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.519-522
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• 2005

Decentralized Dynamic Surface Control(DDSC) for a class of nonlinear system interconnected via sensor network is presented in this paper. While a centralized design approach of DSC was developed in [1], the decentralized approach to deal with complex large-scale systems is proposed under the assumption that interconnected functions among subsystems are known via sensor network. As shown in [2], the separation principle for DDSC will allow us to design an estimation filter independently. Furthermore, the theoretical results are used to design and simulate an active vibration isolator under the assumption that many embedded sensors are distributed and communicate each other via wireless communication.

• Journal of Electrical Engineering and Technology
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• 제7권3호
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• pp.420-428
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• 2012

In this paper, a novel intelligent digital redesign (IDR) technique is proposed for the nonlinear interconnected systems which can be represented by a Takagi-Sugeno (T-S) fuzzy model. The IDR technique is to convert a pre-designed analog controller into an equivalent digital one. To develop this method, the discretized models of the analog and digital closed-loop system with the decentralized controller are presented, respectively. Using these discretized models, the digital decentralized control gain is obtained to minimize the norm between the state variables of the analog and digital closed-loop systems and stabilize the digital closed-loop system. Its sufficient conditions are derived in terms of linear matrix inequalities (LMIs). Finally, a numerical example is provided to verify the effectiveness of the proposed technique.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2006년도 춘계 국제학술대회 논문집
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• pp.211-217
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• 2006

반복학습제어는 특정목적 궤도의 반복작업을 수행하는 정밀도를 개선하는 제어기를 개발하는 기술이다. 기존 연구에서는 수직다물체의 반복정밀도를 개선하기 위하여 누적학습제어와 적응제어 기법을 한 반복영역에서 동시에 실시하는 기법을 개발하였다. 당초 이 기술은 생산조립라인의 산업용 로봇에서 발생하는 반복정밀도를 개선하기 위해 개발하였으며, 특히, 분산학습기법은 산업용 로봇에서 발생하는 실질적 제어 방식에 유효한 기법이다. 본 논문에서 개발한 제어기술은 한 반복영역의 모든 시간대의 입출력 정보를 동시에 학습하기 보다는 매 시간대의 입출력 정보를 각 시간대 마다 충분히 학습하고 다음 시간대의 정보를 학습하는 것이다. 본 논문에서 개발한 기술을 산업용 로봇과 의료기기에 적용하면 수직다물체의 정밀도 품질보증 확보에 큰 기여를 하게 된다.

• 한국산업정보학회논문지
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• 제11권2호
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• pp.40-47
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• 2006

반복학습제어는 특정목적 궤도의 반복작업을 수행하는 정밀도를 개선하는 제어기를 개발하는 기술이다. 기존 연구에서는 수직다물체의 반복정밀도를 개선하기 위하여 누적학습제어와 적응제어 기법을 한 반복영역에서 동시에 실시하는 기법을 개발하였다. 당초 이 기술은 생산조립라인의 산업용 로봇에서 발생하는 반복정밀도를 개선하기 위해 개발하였으며, 특히, 분산학습기법은 산업용 로봇에서 발생하는 실질적 제어 방식에 유효한 기법이다 본 논문에서 개발한 제어기술은 한 반복영역의 모든 시간대의 입출력 정보를 동시에 학습하기 보다는 매 시간대의 입출력 정보를 각 시간대 마다 충분히 학습하고 다음 시간대의 정보를 학습하는 것이다. 본 논문에서 개발한 기술을 산업용 로봇과 의료기기에 적용하면 수직다물체의 정밀도 품질보증 확보에 큰 기여를 하게 된다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1987년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 16-17 Oct. 1987
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• pp.209-213
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• 1987

This paper presents decentralized discrete-time system which is optimized by hierarchical control for process automation via the extended interaction balance method. This proposed method can control general matrix which input matrix is not block diagonalization. Also, this paper shows convergence condition of proposed method.

• 한국정밀공학회지
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• 제18권2호
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• pp.206-213
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• 2001

An overlapping decentralized robust EA(eigenstructure assignment) controller is designed for an active suspension system of a vehicle based on a full car model with 7-degree of freedom. Using overlapping decomposition, the full car model is decentralized by two half car models. For each half car model, an effective and disturbance suppressible controller can be obtained by assigning appropriately a left eigenstructure of the system. The performance of the proposed overlapping decentralized robust EA controller is compared with that of a conventional centralized EA controller through computer simulations.

• 전기의세계
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• 제29권10호
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• pp.667-677
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• 1980

A new approach for optimal decentralized load-frequency control in a multi-area interconnected power system is presented, which includes the optimal determination of decentralized load-frequency controller, observer for unmeasurable local states and load disturbances, quadratic estimator for tie-line power flow information transmitted at intervals. The optimal design of the decentralized controller is based on a modified application of the singular perturbation theory, and the decentralized Luenberger obeserver uses techniques of state augmentation for exponential disturbance functions and the representation of tie-line power flow states as non-directly-controlled inputs. The approach presented herein is numerically tested through Elgerd's two-area load-frequency system model, and the results demonstrate remarkable advantages over the conventional ones.

• Smart Structures and Systems
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• 제11권2호
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• pp.163-183
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• 2013

Control systems have been greatly studied in recent years and can be classified as: passive, active, semi-active or hybrid systems. Most forms of control systems have been applied in a centralized manner where all the information is sent to a central node where control the algorithm is then calculated. One of the possible problems of centralized control is the difficulty to scale its application. In this paper, a completely decentralized control algorithm is analytically implemented. The algorithm considers that each of the control systems makes the best decision based solely on the information collected at its location. Semi-active control is used in preference to active control because it has minimal energy consumption, little to no possibility of destabilization, a reduction in the possibility of data saturation, and a reduction in the response time in comparison to centralized control.