A new stability condition for fuzzy control systems by using equivalence class in set theory

被引：0
作者：
Dong Juxiang [1 ,2 ]
Yang Guang-Hong [1 ,2 ]
Ma Hong-Jun [1 ,2 ]
机构：
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Peoples R China
[2] State Key Lab Synthet Automat Proc Ind, Shenyang, Peoples R China
来源：
2013 32ND CHINESE CONTROL CONFERENCE (CCC) | 2013年
基金：
中国博士后科学基金;
关键词：
T-S fuzzy control systems; stability analysis; equivalence class; set theory; linear matrix inequalities (LMIs); NONQUADRATIC STABILIZATION CONDITIONS; RELAXED STABILITY; LMI CONDITIONS; OBSERVERS; DESIGNS;
D O I：
暂无
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 is concerned with the stability analysis for T-S fuzzy control systems. By exploiting the property of the structure of fuzzy inference engine, an equivalence relation on index set of the product of rule weights is defined. Further, a new class of stability analysis conditions is proposed by using the equivalence classes under the relation. In contrast to the existing results, the new conditions are with less conservatism and a lighter computational burden. Numerical examples are given to illustrate the effectiveness of the proposed methods.
引用
收藏
页码：3470 / 3475
页数：6
相关论文
共 16 条
12