Impulsive effects on global asymptotic stability of delay BAM neural networks

被引：29
|
作者：
Chen, Jun [1 ]
Cui, Baotong [1 ]
机构：
[1] So Yangize Univ, Res Ctr Control Sci & Engn, Jiangsu 214122, Peoples R China
来源：
CHAOS SOLITONS & FRACTALS | 2008年 / 38卷 / 04期
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1016/j.chaos.2007.01.042
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
Based on the proper Lyapunov functions and the Jacobsthal liner inequality, some sufficient conditions are presented in this paper for global asymptotic stability of delay bidirectional associative memory neural networks with impulses. The obtained results are independently of the delay parameters and can be easily verified. Also, some remarks and an illustrative example are given to demonstrate the effectiveness of the obtained results. (c) 2007 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1115 / 1125
页数：11
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