Synchronization of chaotic neural networks with mixed time delays

被引：51
|
作者：
Gan, Qintao [1 ]
Xu, Rui [1 ]
Kang, Xibing [1 ]
机构：
[1] Shijiazhuang Mech Engn Coll, Inst Appl Math, Shijiazhuang 050003, Hebei Province, Peoples R China
来源：
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2011年 / 16卷 / 02期
基金：
中国国家自然科学基金;
关键词：
Synchronization; Chaotic neural network; Lyapunov-Krasovskii functional; Sliding mode control; Linear matrix inequalities (LMIs); STABILITY; ATTRACTORS;
D O I：
10.1016/j.cnsns.2010.04.036
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In this paper, we investigate the synchronization problems of chaotic neural networks with mixed time delays. We first establish the sufficient conditions for synchronization of identical chaotic neural networks with mixed time delays via linear output feedback control. To overcome the difficulty that complete synchronization between nonidentical chaotic neural networks cannot be achieved only by utilizing output feedback control, we use a sliding mode control approach to study the synchronization of nonidentical chaotic neural networks with mixed time delays, where the parameters and functions are mismatched. Numerical simulations are carried out to illustrate the main results. (C) 2010 Elsevier B.V. All rights reserved.
引用
收藏
页码：966 / 974
页数：9
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