H∞ sampled-data control for T-S fuzzy singularly perturbed systems with actuator saturation

被引:7
|
作者
Yan, Yifang [1 ]
Yang, Chunyu [1 ]
Ma, Xiaoping [1 ]
Fu, Jun [2 ]
Zhou, Linna [1 ]
机构
[1] China Univ Min & Technol, Sch Informat & Elect Engn, Xuzhou 221116, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang, Liaoning, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Takagi-Sugeno (T-S) fuzzy singularly perturbed systems (SPSs); sampled-data control; actuator saturation; H-infinity performance; linear matrix inequality (LMI); NONLINEAR-SYSTEMS; STABILITY BOUNDS; FEEDBACK CONTROL; LINEAR-SYSTEMS; TIME-DELAY; STABILIZATION; SUBJECT; DESIGN;
D O I
10.3233/JIFS-161946
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, the problem of the sampled-data control for Takagi-Sugeno (T-S) fuzzy singularly perturbed systems (SPSs) with actuator saturation is considered. Based on the Lyapunov-Krasovskii functional and linear matrix inequality (LMI) approach, a design method of H-infinity sampled-data controller for T-S fuzzy SPSs with actuator saturation is proposed. Then, a convex optimization problem is formulated to maximize the disturbance tolerance ability. For the case that the systems are not subject to disturbances, the proposed design method is specialized to solve the problems of the asymptotical stabilization and optimization of the basin of attraction. Finally, numerical examples are provided to demonstrate the merits of the obtained results.
引用
收藏
页码:779 / 790
页数:12
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