The exponential asymptotic stability for Hopfield neural networks with delays and impulses

被引：0
|
作者：
Zhang, Qiang [1 ]
Wei, Xiaopeng [1 ]
Xu, Jin [1 ]
机构：
[1] Dalian Univ, Liaoning Key Lab Intelligent Informat Proc, Dalian 116622, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2007年 / 14卷
关键词：
Hopfield neural networks; delay; impulse;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper is concerned with the stability of a class of Hopfield neural networks with delays and impulses. By using a delay differential inequality, a new sufficient condition is obtained to ensure global exponential stability of Hopfield neural networks with delays and impulses.
引用
收藏
页码：795 / 798
页数：4
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