Estimation of the Asympototic Stability Region of Uncertain Fuzzy Systems with Bounded Controllers Using Variable Structure System Design Approach

被引：0

作者：

Kung, Chung-Chun ^{[1
]}

Chen, Ti-Hung ^{[2
]}

Chang, Shuo-Chieh

Chen, Chih-Chieh

机构：

[1] Tatung Univ, Dept Elect Engn, Taipei 104, Taiwan

[2] Lunghwa Univ Sci & Technol, Dept Comp Informat & Network Engn, Taipei 104, Taiwan

来源：

IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011) | 2011年

关键词：

component; asymptotic stability region; Takagi-Sugeno fuzzy model; variable structure control; sliding mode controller; NONLINEAR-SYSTEMS; ROBUST STABILIZATION;

D O I：

暂无

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 problem of estimating the asymptotic stability region (ASR) of uncertain nonlinear systems is considered. Our approach is based on Takagi-Sugeno (T-S) fuzzy model and variable structure control (VSC) technique. To simplify the problem, we use a state transformation to reduce the system order of the T-S fuzzy systems. Then we design the sliding surface for the transformed system. By the Lyaponov stability theorem, the ASR can be estimated. A simulation example is presented to verify the effectiveness of the proposed scheme.

引用

页码：643 / 648

页数：6

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