General and Less Conservative Criteria on Stability and Stabilization of T-S Fuzzy Systems With Time-Varying Delay

被引:40
|
作者
Peng, Tian-Shun [1 ]
Zeng, Hong-Bing [1 ]
Wang, Wei [1 ]
Zhang, Xian-Ming [2 ]
Liu, Xin-Ge [3 ]
机构
[1] Hunan Univ Technol, Sch Elect & Informat Engn, Zhuzhou 412007, Peoples R China
[2] Swinburne Univ Technol, Sch Sci Comp & Engn Technol, Melbourne, Vic 3122, Australia
[3] Cent South Univ, Sch Math & Stat, Changsha 410083, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
Control gain; membership function; Lyapunov-Krasovskii functional (LKF); stability; Takagi-Sugeno (T-S) fuzzy system; time-varying delay;
D O I
10.1109/TFUZZ.2022.3204899
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This article deals with the problem of stability and stabilization of Takagi-Sugeno (T-S) fuzzy systems with time-varying delay. First, a novel Lyapunov-Krasovskii functional is constructed, which is dependent on membership functions and takes more information on the time-varying delay into account. Next, based on an N-order free-matrix-based integral inequality and a switching method, a cluster of criteria on the stability and stabilization are obtained for the closed-loop system connected with switching state-feedback controllers. Then, a parameter tuning method and an iterative algorithm are devised to calculate control gains. Finally, three numerical examples including the truck-trailer system are given to show that the proposed criteria can offer less conservative results than some existing ones.
引用
收藏
页码:1531 / 1541
页数:11
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