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作 者:Renming WANG Thierry Marie GUERRA Juntao PAN
机构地区:[1]College of Electrical Engineering and Information Technology, Three Gorges University, Yichang Hubei 443002, China [2]LAMIH, UMR CNRS, Universite de Valenciennes et du Hainaut-Canbresis, Le Mont Houy, Valenciennes Cedex, France [3]Key Laboratory of Measurement and Control of CSE of Ministry of Education, Southeast University, Nanjing Jiangsu 210096, China
出 处:《控制理论与应用(英文版)》2009年第2期144-150,共7页
基 金:supported by the Natural Science Foundation of Hubei Province (No.2007ABA361)
摘 要:This paper considers the guaranteed cost control problem for a class of uncertain discrete T-S fuzzy systems with time delay and a given quadratic cost function. Sufficient conditions for the existence of such controllers are derived based on the linear matrix inequalities (LMI) approach by constructing a specific nonquadratic Lyapunov-Krasovskii functional and a nonlinear PDC-like control law. A convex optimization problem is also formulated to select the optimal guaranteed cost controller that minimizes the upper bound of the closed-loop cost function. Finally, numerical examples are presented to demonstrate the effectiveness of the proposed approaches.This paper considers the guaranteed cost control problem for a class of uncertain discrete T-S fuzzy systems with time delay and a given quadratic cost function. Sufficient conditions for the existence of such controllers are derived based on the linear matrix inequalities (LMI) approach by constructing a specific nonquadratic Lyapunov-Krasovskii functional and a nonlinear PDC-like control law. A convex optimization problem is also formulated to select the optimal guaranteed cost controller that minimizes the upper bound of the closed-loop cost function. Finally, numerical examples are presented to demonstrate the effectiveness of the proposed approaches.
关 键 词:Fuzzy system Time delay Linear matrix inequalities (LMI) Guaranteed cost control
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