Global stability analysis of Cohen-Grossberg neural networks with time varying delays

被引：153

作者：

Arik, S ^{[1
]}

Orman, Z ^{[1
]}

机构：

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

来源：

PHYSICS LETTERS A | 2005年 / 341卷 / 5-6期

关键词：

equilibrium and stability analysis; Cohen-Grossberg neural networks; Lyapunov functionals; Halanay inequality;

D O I：

10.1016/j.physleta.2005.04.095

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

This Letter presents some sufficient conditions for the existence, uniqueness and global asymptotic and exponential stability of the equilibrium point for Cohen-Grossberg neural networks with 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. (c) 2005 Elsevier B.V. All rights reserved.

引用

页码：410 / 421

页数：12

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