Fuzzy adaptive synchronization of uncertain chaotic systems

被引：71
|
作者：
Kim, JH
Park, CW
Kim, E
Park, M
机构：
[1] Yonsei Univ, Dept Elect & Elect Engn, Seoul 120749, South Korea
[2] Korea Elect Technol Inst, Precis Machinery Res Ctr, Puchon 420140, Kyunggi, South Korea
来源：
PHYSICS LETTERS A | 2005年 / 334卷 / 04期
关键词：
T-S fuzzy model; chaos synchronization; adaptive control; unknown parameter estimation;
D O I：
10.1016/j.physleta.2004.11.033
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
This Letter presents an adaptive approach for synchronization of Takagi-Sugeno (T-S) fuzzy chaotic systems. Since the parameters of chaotic system are assumed unknown, the adaptive law is derived to estimate the unknown parameters and its stability is guaranteed by Lyapunov stability theory. The control law to be designed consists of two parts: one part that can stabilize the synchronization error dynamics and the other part that estimates the unknown parameters. Numerical examples are given to demonstrate the validity of the proposed adaptive synchronization approach. (C) 2004 Elsevier B.V. All rights reserved.
引用
收藏
页码：295 / 305
页数：11
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