Algebraic criteria for global exponential stability of neural networks with multi-delays

被引：0
|
作者：
Shen, Anwen [1 ]
Zhang, Xin [1 ]
机构：
[1] Huazhong Univ Sci & Technol, Dept Control Sci & Engn, Wuhan 430074, Hubei, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES B-APPLICATIONS & ALGORITHMS | 2007年 / 14卷
关键词：
cellular neural networks; global exponential stability; Lyapunov function;
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
The global exponential stability of multi-delay neutral networks with a special structure dynamic system is very important on application. In this paper, the global exponential stability for a class of multi-delay neural networks is investigated by the method of Some sufficient conditions on global of multi-delay neural networks are obtained. The results of the paper contain and extend the conclusion of the article [1]. An example is given to verify the validity of the results.
引用
收藏
页码：458 / 462
页数：5
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