Stability Analysis for Uncertain Stochastic Delayed Neural Networks of Neutral-Type with Discrete and Distributed Delays

被引：0

作者：

Liu, Guoquan ^{[1
]}

Yang, Simon X. ^{[2
]}

Fu, Wei ^{[1
]}

机构：

[1] Chongqing Univ, Coll Automat, Chongqing, Peoples R China

[2] Univ Guelph, Sch Engn, Guelph, ON, Canada

来源：

JOURNAL OF COMPUTERS | 2012年 / 7卷 / 02期

关键词：

Global robust stability; Delayed neural networks; Neutral-type; Lyapunov-Krasovskii functional; Discrete and distributed delays;

D O I：

10.4304/jcp.7.2.384-392

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The paper studies delay-dependent global robust problem for a class of uncertain stochastic delayed neural networks of neutral-type with discrete and distributed delays. Novel stability criteria are obtained in terms of linear matrix inequality (LMI) by employing the LyapunovKrasovskii functional method and using the free-weighting matrices technique. In addition, two examples are given to show the effectiveness of the obtained conditions.

引用

页码：384 / 392

页数：9

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