Robust anti-synchronization of a class of delayed chaotic neural networks

被引：44
|
作者：
Meng, Juan
Wang, Xing-Yuan
机构：
[1] School of Electronic and Information Engineering, Dalian University of Technology
来源：
CHAOS | 2007年 / 17卷 / 02期
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1063/1.2731306
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper deals with the anti-synchronization problem of a class of delayed neural networks. Based on the Lyapunov stability theory and the Halanay inequality lemma, a kind of controller is designed. It is proved that this kind of controller can achieve anti-synchronization of neural networks with delays. Numerical simulations demonstrate the effectiveness and robustness of the proposed anti-synchronization scheme. (c) 2007 American Institute of Physics.
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页数：6
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