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

页码：3470 / 3475

页数：6

共 16 条

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