Stabilization for discrete-time fuzzy systems with Takagi-Sugeno's models: reduce the complexity

被引：3
|
作者：
Wang LiKui [1 ]
Liu XiaoDong [2 ]
机构：
[1] Nanchang Hangkong Univ, Sch Math & Informat Sci, Nanchang 330063, Peoples R China
[2] Dalian Univ Technol, Res Ctr Informat & Control, Dalian 116024, Peoples R China
来源：
SCIENCE CHINA-INFORMATION SCIENCES | 2010年 / 53卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Takagi-Sugeno's fuzzy model; non-quadratic Lyapunov function; linear matrix inequality; H-INFINITY CONTROL; NONLINEAR-SYSTEMS; STABILITY CONDITIONS; LMI; DESIGNS; FORM; IDENTIFICATION; UNCERTAINTIES; CONTROLLER; OBSERVERS;
D O I：
10.1007/s11432-010-4116-4
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The problem of sate feedback control for discrete-time fuzzy systems with Takagi-Sugeno's models is investigated to reduce the computational burden. A stabilization condition is obtained by applying a new Lyapunov function. It is shown that our new theorem is equivalent to an existing result in guaranteeing the stability of the fuzzy system but consumes less computational time than the latter. The effectiveness and the superiority of the proposed design approach are demonstrated by an example borrowed from the literature.
引用
收藏
页码：2506 / 2513
页数：8
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