Global robust stability analysis of neural networks with discrete time delays

被引：91

作者：

Arik, S ^{[1
]}

机构：

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

来源：

CHAOS SOLITONS & FRACTALS | 2005年 / 26卷 / 05期

关键词：

D O I：

10.1016/j.chaos.2005.03.025

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Global robust convergence properties of continuous-time neural networks with discrete delays are studied. By using a Lyapunov functional, we derive a delay independent stability condition for the existence uniqueness and global robust asymptotic stability of the equilibrium point. The condition is in terms of the network parameters only and can be easily verified. It is also shown that the obtained result improves and generalizes a previously published result. (c) 2005 Elsevier Ltd. All rights reserved.

引用

页码：1407 / 1414

页数：8

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