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
收藏
页码：434 / +
页数：2
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