• 제목/요약/키워드: matrix inequality approach

검색결과 150건 처리시간 0.03초

타카기-수게노 퍼지 시스템의 H 샘플치 제어 (H Sampled-Data Control of Takagi-Sugeno Fuzzy System)

  • 김도완
    • 제어로봇시스템학회논문지
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    • 제20권11호
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    • pp.1142-1146
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    • 2014
  • This paper addresses on a $H_{\infty}$ sampled-data stabilization of a Takagi-Sugeno (T-S) fuzzy system. The sampled-data stabilization problem is formulated as a discrete-time stabilization one via a direct discrete-time design approach. It is shown that the sampled-data fuzzy control system is asymptotically stable whenever its exactly discretized model is asymptotically stable. Based on an exact discrete-time model, sufficient design conditions are derived in the format of linear matrix inequalities (LMIs). An example is provided to illustrate the effectiveness of the proposed methodology.

시변지연을 가지는 LPV시스템의 H 샘플데이타 제어 (H Sampled-Data Control of LPV Systems with Time-varying Delay)

  • 유아연;이상문
    • 전기학회논문지
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    • 제64권1호
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    • pp.121-127
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    • 2015
  • This paper considers the problem of sampled-data control for continuous linear parameter varying (LPV) systems. It is assumed that the sampling periods are arbitrarily varying but bounded. Based on the input delay approach, the sampled-data control LPV system is transformed into a continuous time-delay LPV system. Some less conservative stabilization results represented by LMI (Linear Matrix Inequality) are obtained by using the Lyapunov-Krasovskii functional method and the reciprocally combination approach. The proposed method for the designed gain matrix should guarantee asymptotic stability and a specified level of performance on the closed-loop hybrid system. Numerical examples are presented to demonstrate the effectiveness and the improvement of the proposed method.

지능구조물의 다목적 상태궤환 제어 (Multiobjective State-Feedback Control of Smart Structural Systems)

  • 홍성일;박현철;박철휴
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2003년도 추계학술대회논문집
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    • pp.452-458
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    • 2003
  • This paper presents a robust vibration control methodology of smart structural systems. The governing equations and associated boundary conditions are derived by Hamilton's principle. A robust controller is designed using a linear matrix inequality (LMI) approach to the multiobjective synthesis. The design objectives are to achieve a mix of H$\sub$$\infty$/ performance and H$_2$ performance satisfying constraints on the closed-loop pole locations in the face of model uncertainties. Numerical examples are presented to demonstrate the effectiveness of LMI approach in damping out the multiple modes of vibration of the piezo/beam system.

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수동화 기법에 의한 비정방 선형 시스템의 강인 제어기 설계 (Robust Controller Design for Non-square Linear Systems Using a Passivation Approach)

  • 손영익
    • 제어로봇시스템학회논문지
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    • 제8권11호
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    • pp.907-915
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    • 2002
  • We present a state-space approach to design a passivity-based dynamic output feedback control of a finite collection of non-square linear systems. We first determine a squaring gain matrix and an additional dynamics that is connected to the systems in a feedforward way, then a static passivating (i.e. rendering passive) control law is designed. Consequently, the actual feedback controller will be the static control law combined with the feedforward dynamics. A necessary and sufficient condition for the existence of the parallel feedfornward compensator (PFC) is given by the static output feedback fomulation, which enables to utilize linear matrix inequality (LMI). The effectiveness of the proposed method is illustrated by some examples including the systems which can be stabilized by the proprotional-derivative (PD) control law.

압전/빔 시스템에 대한 강건제어기 개발 (Development of a Robust Controller for Piezo/beam Systems)

  • 홍성일;박현철;박철휴
    • 한국소음진동공학회논문집
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    • 제14권7호
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    • pp.612-618
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    • 2004
  • This paper presents a robust vibration control methodology for smart structural systems. The governing equation and associated boundary conditions of the smart structural system are derived by using Hamilton's principle. The assumed mode method is used to discretize the governing equation into a set of ordinary differential equation. A robust controller is designed using a linear matrix inequality (LMI) approach for the multiobjective synthesis. The design objectives are to achieve a mix of H$_{\infty}$ performance and H$_2$ performance satisfying constraints on the closed-loop pole locations in the presence of model uncertainties. Numerical examples are presented to demonstrate the effectiveness of LMI approach in damping out the multiple vibration modes of the piezo/beam system.

변수 불확실성과 제어기 악성을 가지는 이산 특이시스템의 강인 안정화 (Robust Stabilization of Discrete Singular Systems with Parameter Uncertainty and Controller Fragility)

  • 김종해
    • 전자공학회논문지SC
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    • 제45권5호
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    • pp.1-7
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    • 2008
  • 본 논문에서는 변수 불확실성을 가지는 이산시간 특이시스템과 곱셈형 섭동의 약성(fragility)을 가지는 제어기에 대한 강인 안정화 기법과 강인 비약성(non-fragile) 제어기 설계방법을 제시한다. 강인 안정화를 만족하는 비약성 제어기가 존재할 조건과 제어기 설계방법 및 제어기의 비약성 척도를 볼록최적화(convex optimization)가 가능한 선형행렬부등식 접근방법을 이용하여 제안한다. 최대의 비약성 척도를 얻기 위하여 구한 제어기 충분조건은 모든 변수의 견지에서 선형행렬부등식으로 변형한다. 따라서, 제안한 강인 비약성 이산 제어기는 특이시스템의 변수 불확실성과 제어기의 약성에도 불구하고 안정성을 보장한다 마지막으로, 수치예제를 통하여 제안한 알고리듬의 타당성을 확인한다.

H-infinity Discrete Time Fuzzy Controller Design Based on Bilinear Matrix Inequality

  • Chen M.;Feng G.;Zhou S.S.
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제6권2호
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    • pp.127-137
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    • 2006
  • This paper presents an $H_{\infty}$ controller synthesis method for discrete time fuzzy dynamic systems based on a piecewise smooth Lyapunov function. The basic idea of the proposed approach is to construct controllers for the fuzzy dynamic systems in such a way that a Piecewise smooth Lyapunov function can be used to establish the global stability with $H_{\infty}$ performance of the resulting closed loop fuzzy control systems. It is shown that the control laws can be obtained by solving a set of Bilinear Matrix Inequalities (BMIs). An example is given to illustrate the application of the proposed method.

섭동을 갖는 뉴트럴 시스템의 성능보장 안정화에 관하여 (On Guaranteed Cost Control of Uncertain Neutral Systems)

  • 박주현
    • 대한전기학회논문지:시스템및제어부문D
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    • 제52권3호
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    • pp.129-133
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    • 2003
  • In this paper, we consider the robust guaranteed cost control problem for a class of uncertain neutral systems with given quadratic cost functions. The uncertainty is assumed to be norm-bounded and time-varying. The goal in this study is to design the memoryless state feedback controller such that the closed-loop system is asymptotically stable and the closed-loop cost function value is not more than a specified upper bound lot all admissible uncertainty. Some criteria for the existence of such controllers are derived based on the matrix inequality approach combined with the Lyapunov second method. A parameterized characterization of the robust guaranteed cost controllers is given in terms of the feasible solutions to the certain matrix inequalities. A numerical example is given to illustrate the proposed method.

슬라이딩 모드 관측기 설계를 위한 선형행렬부등식 접근법 (An LMI Approach for Designing Sliding Mode Observers)

  • 최한호
    • 제어로봇시스템학회논문지
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    • 제11권1호
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    • pp.9-12
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    • 2005
  • This paper presents an LMI-based method to design sliding mode observers for a class of uncertain systems. Using LIs we derive an existence condition of a sliding mode observer guaranteeing a stable sliding motion. And we give explicit formulas of the observer gain matrices. We also consider sliding mode observer design problems under an α-stability constraint or an LQ performance bound constraint. Finally, we give a numerical design example.

구조적인 제약이 있는 이산시간 선형시스템의 정적출력 되먹임 안정화 제어기 설계 (Structured Static Output Feedback Stabilization of Discrete Time Linear Systems)

  • 이준화
    • 제어로봇시스템학회논문지
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    • 제21권3호
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    • pp.233-236
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    • 2015
  • In this paper, a nonlinear optimization problem is proposed to obtain a structured static output feedback controller for discrete time linear systems. The proposed optimization problem has LMI (Linear Matrix Inequality) constraints and a non-convex objective function. Using the conditional gradient method, we can obtain suboptimal solutions of the proposed optimization problem. Numerical examples show the effectives of the proposed approach.