Adaptive fuzzy synchronization of discrete-time chaotic systems

被引：17
|
作者：
Vasegh, N
Majd, VJ
机构：
[1] Tarbiat Modarres Univ, Dept Elect Engn, Tehran, Iran
[2] KN Toosi Univ Technol, Dept Control Engn, Tehran, Iran
来源：
CHAOS SOLITONS & FRACTALS | 2006年 / 28卷 / 04期
关键词：
D O I：
10.1016/j.chaos.2005.08.123
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
This paper presents a fuzzy model-based adaptive approach to synchronize two different discrete-time chaotic systems. Takagi-Sugeno (TS) fuzzy model is employed to represent the chaotic drive and response systems. Since the parameters of the drive system are assumed unknown, an adaptive law is derived to estimate its unknown parameters. Then, a control law is proposed to stabilize the error dynamics. The design procedure is illustrated by two examples to demonstrate the effectiveness of the proposed methodology. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1029 / 1036
页数：8
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