On improved delay-dependent robust stabilization of Takagi-Sugeno fuzzy systems with state and input delays

被引：4
|
作者：
Li, Li [1 ]
Yu, Fajun [1 ]
机构：
[1] Shenyang Normal Univ, Coll Maths & Systemat Sci, Shenyang 110034, Peoples R China
来源：
2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5 | 2010年
关键词：
Time-delay; State and input delay; LMI; Fuzzy systems; STABILITY;
D O I：
10.1109/CCDC.2010.5498885
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper investigates the robust delay-dependent stabilization problem for uncertain fuzzy systems with state and input delays which is more general fuzzy model. Taking Leibniz-Newton formula into account, sufficient matrix inequalities conditions for stabilization of such systems are derived via a novel Lyapunov-Krasovskii functional (LKF), which are dependent on the size of the delays and are based on the solutions of linear matrix inequalities (LMIs). Finally, numerical examples are included to show the effectiveness and improvement of the proposed method.
引用
收藏
页码：1990 / 1994
页数：5
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