An LMI-based fuzzy control method of chaotic systems

被引：0
|
作者：
Yu, Yongbin [1 ]
Zhong, Qishui [1 ]
Li, Kang [1 ]
Yu, Juebang [1 ]
Liao, Xiaofeng [2 ]
机构：
[1] Univ Elect Sci & Technol China, Coll Elect Engn, Chengdu 610054, Sichuan, Peoples R China
[2] Chongqing Univ, Coll Comp Sci, Chongqing 400044, Peoples R China
来源：
2007 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1 AND 2: VOL 1: COMMUNICATION THEORY AND SYSTEMS; VOL 2: SIGNAL PROCESSING, COMPUTATIONAL INTELLIGENCE, CIRCUITS AND SYSTEMS | 2007年
关键词：
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：
This paper represents a systematic framework for the stability and design of nonlinear fuzzy control chaotic systems. Based on Takagi-Sugeno(T-S) fuzzy model and parallel distributed compensation (PDC) design technique considering current state and delayed state feedback control, we propose delay-dependent chaos control criterion and stability corollary expressed in terms of linear I matrix inequalities(LMIs). The design method is conceptually natural and effective for chaotic systems.
引用
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页码：891 / +
页数：3
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