NEW RESULT CONCERNING MEAN SQUARE EXPONENTIAL STABILITY OF UNCERTAIN STOCHASTIC DELAYED HOPFIELD NEURAL NETWORKS

被引：0
|
作者：
Bai, Chuanzhi [1 ]
机构：
[1] Huaiyin Normal Univ, Sch Math Sci, Huaian 223300, Jiangsu, Peoples R China
来源：
BULLETIN OF THE KOREAN MATHEMATICAL SOCIETY | 2011年 / 48卷 / 04期
关键词：
stochastic Hopfield neural networks; mean square exponential stability; linear matrix inequality; TIME-VARYING DELAYS; GLOBAL ROBUST STABILITY; LINEAR-SYSTEMS;
D O I：
10.4134/BKMS.2011.48.4.725
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
By using the Lyapunov functional method, stochastic analysis, and LMI (linear matrix inequality) approach, the mean square exponential stability of an equilibrium solution of uncertain stochastic Hopfield neural networks with delayed is presented. The proposed result generalizes and improves previous work. An illustrative example is also given to demonstrate the effectiveness of the proposed result.
引用
收藏
页码：725 / 736
页数：12
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