Complete synchronization for impulsive Cohen-Grossberg neural networks with delay under noise perturbation

被引：21
|
作者：
Chen, Zhang [1 ]
机构：
[1] Shandong Univ, Sch Math, Jinan 250100, Peoples R China
来源：
CHAOS SOLITONS & FRACTALS | 2009年 / 42卷 / 03期
基金：
中国国家自然科学基金;
关键词：
GLOBAL EXPONENTIAL STABILITY;
D O I：
10.1016/j.chaos.2009.03.063
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
In this paper, impulsive Cohen-Grossberg neural networks with delay is studied. Sufficient conditions are given to guarantee the realization of complete synchronization for Cohen-Grossberg neural networks with delay and large impulse under noise perturbation by stochastic Halanay inequality. Moreover, an example is given to show the effectiveness of synchronization design in this paper. (C) 2009 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1664 / 1669
页数：6
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