New Methods of Fuzzy Sampled-Data Control for Stabilization of Chaotic Systems

被引：147

作者：

Lee, Tae H. ^{[1
,2
]}

Park, Ju H. ^{[1
]}

机构：

[1] Yeungnam Univ, Dept Elect Engn, Kyongsan 38541, South Korea

[2] Deakin Univ, Inst Intelligent Syst Res & Innovat, Geelong Waurn Ponds Campus, Geelong, Vic 3220, Australia

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS | 2018年 / 48卷 / 12期

基金：

新加坡国家研究基金会;

关键词：

Chaotic system; discontinuous Lyapunov functional; sampled-data control; Takagi-Sugeno (T-S) fuzzy systems; SYNCHRONIZATION;

D O I：

10.1109/TSMC.2017.2690803

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper focuses on developing new design methods of the sampled-data controller for chaotic systems which are represented as Takagi-Sugeno (T-S) fuzzy models. Two novel approaches, sampling-instant-to-present-time frag-mentation and free-matrix-based time-dependent discontinuous Lyapunov approach, are proposed for the first time. Based on the two new approaches, the T-S fuzzy sampled-data controller is designed for stabilization of chaotic systems under large sampling period. The superiority of proposed results is shown by a numerical example.

引用

页码：2026 / 2034

页数：9

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