An analysis of exponential stability of delayed neural networks with time varying delays

被引：245

作者：

Arik, S ^{[1
]}

机构：

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

来源：

NEURAL NETWORKS | 2004年 / 17卷 / 07期

关键词：

delayed neural networks; exponential stability; Lyapunov functionals;

D O I：

10.1016/j.neunet.2004.02.001

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper derives a new sufficient condition for the exponential stability of the equilibrium point for delayed neural networks with time varying delays by employing a Lyapunov-Krasovskii functional and using Linear Matrix Inequality (LMI) approach. This result establishes a relation between the delay time and the parameters of the network. The result is also compared with the most recent result derived in the literature. (C) 2004 Elsevier Ltd. All rights reserved.

引用

页码：1027 / 1031

页数：5

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