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

页码：458 / 462

页数：5

共 23 条

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