Relaxed Stabilization of T-S Fuzzy Systems with Time-Delay

被引：3
|
作者：
Tsai, Shun-Hung [1 ]
Sun, Chen [1 ]
Lo, J. -C. [2 ]
Lam, H. K. [3 ]
机构：
[1] Natl Taipei Univ Technol, Grad Inst Automat Technol, Taipei 106, Taiwan
[2] Natl Ctr Univ, Dept Mech Engn, Taoyuan, Taiwan
[3] Kings Coll London, Dept Informat, London, England
来源：
2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013) | 2013年
关键词：
T-S fuzzy systems; time-delay; homogeneous polynomials; relaxed stabilization; Polya theorem; H-INFINITY CONTROL; GUARANTEED COST CONTROL; STABILITY ANALYSIS; DEPENDENT STABILITY; NEURAL-NETWORKS; STATE;
D O I：
10.1109/FUZZ-IEEE.2013.6622448
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 relaxed stabilization problem for Takagi and Sugeno (T-S) fuzzy systems with time-delay is investigated. Based on the concept of homogeneous polynomials and Polya's theorem, a stabilization condition for T-S fuzzy systems with time-delay is proposed in terms of a linear matrix inequality to guarantee the asymptotic stabilization of T-S fuzzy systems with time-delay. In addition, by using the Kronecker product, a more relaxed stabilization condition is proposed. Lastly, an example is given to demonstrate that the proposed stabilization condition can provide the maximum allowable delay time than some existing results.
引用
收藏
页数：6
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