Improved results on passivity analysis of discrete-time stochastic neural networks with time-varying delay

被引：3

作者：

于建江 ^{[1
,2
]}

张侃健 ^{[2
]}

费树岷 ^{[2
]}

机构：

[1] School of Information Science and Technology,Yancheng Teachers University

[2] School of Automation,Southeast University

来源：

中南大学学报(自然科学版) | 2009年 / 40卷 / S1期

基金：

中国国家自然科学基金;

关键词：

passivity; discrete-time stochastic neural networks (DSNNs); interval delay; linear matrix inequalities (LMIs);

D O I：

暂无

中图分类号：

TP13 [自动控制理论];

学科分类号：

0711 ; 071102 ; 0811 ; 081101 ; 081103 ;

摘要：

The problem of passivity analysis for a class of discrete-time stochastic neural networks (DSNNs) with time-varying interval delay was investigated. The delay-dependent sufficient criteria were derived in terms of linear matrix inequalities (LMIs). The results are shown to be generalization of some previous results and are less conservative than the existing works. Meanwhile, the computational complexity of the obtained stability conditions is reduced because less variables are involved. A numerical example is given to show the effectiveness and the benefits of the proposed method.

引用

页码：63 / 67

页数：5