Global exponential stability analysis of Cohen-Grossberg neural network with delays

被引：31

作者：

Zhao, Weirui ^{[1
]}

机构：

[1] Wuhan Univ Technol, Dept Math, Wuhan 430070, Hubei, Peoples R China

来源：

COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION | 2008年 / 13卷 / 05期

关键词：

Cohen-Grossberg neural networks; variable delays; globally exponential stability; Lyapunov functionals;

D O I：

10.1016/j.cnsns.2006.09.004

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This brief presents new sufficient conditions of globally exponential stability of Cohen-Grossberg neural networks with time delays. The results are also compared with previously reported results in the literature, implying that the results obtained in this paper provide one more set of criteria for determining the global exponential stability of Cohen-Grossberg neural networks with time delays. (C) 2006 Elsevier B.V. All rights reserved.

引用

页码：847 / 856

页数：10

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