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Synchronisation of chaotic systems using a novel sampled-data fuzzy controller

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文摘 This paper presents the synchronisation of chaotic systems using a sampled-data fuzzy controller and is meaningful for many physical real-life applications. Firstly, a Takagi-Sugeno (T-S) fuzzy model is employed to represent the chaotic systems that contain some nonlinear terms, then a type of fuzzy sampled-data controller is proposed and an error system formed by the response and drive chaotic system. Secondly, relaxed LMI-based synchronisation conditions are derived by using a new parameter-dependent Lyapunov-Krasovskii functional and relaxed stabilisation techniques for the underlying error system. The derived LMI-based conditions are used to aid the design of a sampled-data fuzzy controller to achieve the synchronisation of chaotic systems. Finally, a numerical example is provided to illustrate the effectiveness of the proposed results
来源 Chinese Physics. B ,2011,20(1):010101-1-010101-9 【核心库】
DOI 10.1088/1674-1056/20/1/010101
关键词 chaotic systems ; synchronisation ; sampled-data systems ; parameter-dependent Lyapunov-Krasovskii functional
地址

1. School of Mathematics, Jilin Normal University, Siping, 136000  

2. Institute of Systems Science, Northeastern University, Shenyang, 110004

语种 英文
文献类型 研究性论文
ISSN 1674-1056
学科 物理学
基金 国家自然科学基金
文献收藏号 CSCD:4143054

参考文献 共 29 共2页

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引证文献 4 篇

1 Zhang Tieyan Stability analysis of nonlinear Roesser-type two-dimensional systems via a homogenous polynomial technique Chinese Physics. B,2012,21(12):120503-1-120503-9
CSCD被引 0 次

2 Wang Jia Stability analysis and control synthesis of uncertain Roesser-type discrete-time two-dimensional systems Chinese Physics. B,2013,22(3):030206-1-030206-6
CSCD被引 4 次

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