Fuzzy Modeling and Impulsive Control of a Memristor-Based Chaotic System

We mainly investigate the issues of fuzzy modeling and impulsive control of a memristor-based chaotic system and present a memristor-based chaotic system as the Takagi-Sugeno model-based fuzzy system. Then, based on the impulsive control theory of dynamical systems, a criterion ensuring impulsive st...

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Bibliographic Details
Published inChinese physics letters Vol. 27; no. 2; pp. 22 - 24
Main Author 钟其水 于永斌 虞厥邦
Format Journal Article
LanguageEnglish
Published IOP Publishing 01.02.2010
Subjects
Chaos theory
Control systems
Dynamical systems
Dynamics
Fuzzy
Fuzzy logic
Fuzzy set theory
Stabilization
Sugeno模型
动力系统
基础
控制理论
模糊建模
模糊系统
混沌系统
脉冲控制
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ISSN0256-307X
1741-3540
DOI10.1088/0256-307X/27/2/020501

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Summary:We mainly investigate the issues of fuzzy modeling and impulsive control of a memristor-based chaotic system and present a memristor-based chaotic system as the Takagi-Sugeno model-based fuzzy system. Then, based on the impulsive control theory of dynamical systems, a criterion ensuring impulsive stabilization of the memristorbased chaotic system is derived for the first time. An illustrative example is given to verify the effectiveness of the control scheme.
Bibliography:11-1959/O4
TP13
O415.5
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0256-307X
1741-3540
DOI:10.1088/0256-307X/27/2/020501