Fuzzy guaranteed cost control for nonlinear systems with time-varying delay

被引:160
作者
Chen, B [1 ]
Liu, XP
机构
[1] Bohai Univ, Dept Math, Jinzhou 121003, Peoples R China
[2] Lakehead Univ, Dept Elect Engn, Thunder Bay, ON P7B 5E1, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
fuzzy dynamic systems with time delay; guaranteed cost control; linear matrix inequality (LMI); observer;
D O I
10.1109/TFUZZ.2004.840131
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper focuses on the problem of guaranteed cost control for Takagi-Sugeno (T-S) fyzzy systems with time-varying delayed state. A linear quadratic cost function is considered as a performance index of the closed-loop fuzzy system. Then, the guaranteed cost control of the closed-loop fuzzy system is discussed, and the sufficient conditions are provided for the construction Of a guaranteed cost controller via state feedback and observer-based output feedback. When these conditions, which are given in terms of the feasibility of linear matrix inequalities (LMIs), are satisfied, the designed state feedback controller and observer-based controller gain matrices can be obtained via a convex optimization problem. Two illustrative examples are provided to demonstrate the effectiveness of the approaches proposed in this paper.
引用
收藏
页码:238 / 249
页数:12
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