LMI Conditions for Stability of Impulsive Stochastic Neural Networks with Unbounded Time-Varying Delays

被引：0

作者：

Yin, Lizi ^{[1
]}

Yang, Dianwu ^{[1
]}

机构：

[1] Univ Jinan, Sch Math, Jinan 250022, Peoples R China

来源：

WEB INFORMATION SYSTEMS AND MINING, PT I | 2011年 / 6987卷

基金：

中国国家自然科学基金;

关键词：

stability; Unbounded time-varying delays; Impulsive neural systems; stochastic neural networks; Linear matrix inequality (LMI);

D O I：

暂无

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 is concerned with the problem of mu-stable in the mean square of impulsive stochastic neural networks with unbounded time-varying delays. A mu-stable criteria in the mean square are derived by using Lyapunov-Krasovski functional method, the random analysis theory, and impulsive control method. Those criteria are expressed in the form of linear matrix inequalities (LMIs).

引用

页码：434 / +

页数：2

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