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
收藏
页码：384 / 392
页数：9
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