Dissipativity and periodic attractor for non-autonomous neural networks with time-varying delays

被引：29

作者：

Huang, Yulnei ^{[1
]}

Xu, Daoyi

Yang, Zhichun

机构：

[1] Sichuan Univ, Yangtze Ctr Math, Chengdu 610064, Peoples R China

[2] Xihua Univ, Sch Math & Comp Engn, Chengdu 610039, Peoples R China

来源：

NEUROCOMPUTING | 2007年 / 70卷 / 16-18期

基金：

中国国家自然科学基金;

关键词：

non-autonomous neural networks; dissipativity; differential inequality; periodic attractor; delay;

D O I：

10.1016/j.neucom.2006.10.104

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a model is considered to describe the dynamics of a class of non-autonomous neural networks with time-varying delays. By applying the properties of M-matrix, the techniques of inequality analysis and the Banach fixed point theorem, we obtain a series of new criteria on the dissipativity and existence of periodic attractor. Our results can extend and improve earlier ones. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：2953 / 2958

页数：6

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