Exponential Stability of BAM Neural Networks with Delays and Impulses

被引：0
|
作者：
Chen, Deqin [1 ]
Li, Kelin [1 ]
机构：
[1] Sichuan Univ Sience & Engn, Dept Math, Zigong 643000, Sichuan, Peoples R China
来源：
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2006年 / 6卷 / 10期
关键词：
BAM neural networks; delays; impulses; global exponential stability;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a generalized model of bi-directional associative memory (BAM) neural networks delays and impulses is investigated. By constructing suitable Lyapunov functional, Halanaly differential inequality and M -matrix theory, some sufficient conditions for global exponential stability of generalized BAM neural networks with delays and impulses are obtained. An examples are given to show the effectiveness of the obtained results.
引用
收藏
页码：94 / 99
页数：6
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