A New Approach to Relaxed Quadratic Stabilization for Stochastic T-S Fuzzy Systems

被引：0
|
作者：
Xie, Xiangpeng [1 ]
Zhang, Huaguang [1 ]
Feng, Jian [1 ]
机构：
[1] Northeastern Univ, Sch Informat Sci & Engn, Shenyang, Liaoning, Peoples R China
来源：
2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC), VOLS 1-6 | 2008年
关键词：
Relaxed quadratic conditions; stochastic systems; Takagi-Sugeno fuzzy model;
D O I：
10.1109/ICSMC.2008.4811338
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 problems of quadratic stabilization conditions for stochastic Takagi-Sugeno fuzzy systems have been studied. A new quadratic stability condition, which takes into account the knowledge of the membership function's shape by considering bounds on their cross products, has been proposed. And then a new sufficient condition in terms of linear matrix inequalities is developed to synthesize the state feedback controller that stabilizes the stochastic fuzzy systems. An numerical example is provided to illustrate the effectiveness of the proposed results.
引用
收藏
页码：571 / 576
页数：6
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