A DESCRIPTOR SYSTEM APPROACH TO UNCERTAIN FUZZY CONTROL SYSTEM DESIGN VIA FUZZY LYAPUNOV FUNCTIONS

被引：3
|
作者：
Gong, Chang-Zhong [1 ]
Zeng, Xiao-Wei [1 ]
机构：
[1] Civil Aviat Univ China, Coll Sci, Tianjin 300300, Peoples R China
来源：
PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-6 | 2009年
关键词：
Uncertain T-S fuzzy system; Descriptor representation; Fuzzy Lyapunov function; LMI; STABILIZATION; STABILITY; DELAY;
D O I：
10.1109/ICMLC.2009.5212555
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 stability of uncertain T-S fuzzy system has been studied, and the sufficient conditions, which maintain the stability of the system based on the descriptor representation, has been proved. Then, convert these conditions into LMIs (linear matrix inequalities). Our results reduce computation obviously compared with the previous one. For the more relaxed LMIs conditions, a new fuzzy controller design approach and fuzzy Lyapunov function are given. Finally, a numerical example is given to show the validity and feasibility of the proposed approach.
引用
收藏
页码：498 / 503
页数：6
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