An Analysis of Global Stability of Cohen-Grossberg Neural Networks with Multiple Time Delays

被引：0

作者：

Orman, Zeynep ^{[1
]}

Arik, Sabri ^{[1
]}

机构：

[1] Istanbul Univ, Dept Comp Engn, TR-34320 Istanbul, Turkey

来源：

PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 29 | 2008年 / 29卷

关键词：

Equilibrium and stability analysis; Cohen-Grossberg Neural Networks; Lyapunov Functionals;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents a new sufficient condition for the existence, uniqueness and global asymptotic stability of the equilibrium point for Cohen-Grossberg neural networks with multiple time delays. The results establish a relationship between the network parameters of the neural system independently of the delay parameters. The results are also compared with the previously reported results in the literature.

引用

页码：256 / 260

页数：5

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