EXPONENTIAL STABILITY FOR STOCHASTIC NEURAL NETWORKS OF NEUTRAL TYPE WITH IMPULSIVE EFFECTS

被引：41

作者：

Sakthivel, Rathinasamy ^{[1
]}

Samidurai, R. ^{[2
]}

Anthoni, S. Marshal ^{[3
]}

机构：

[1] Sungkyunkwan Univ, Dept Math, Suwon 440746, South Korea

[2] Periyar Univ, Dept Math, Salem 636011, India

[3] Anna Univ Coimbatore, Dept Math, Coimbatore 641047, Tamil Nadu, India

来源：

MODERN PHYSICS LETTERS B | 2010年 / 24卷 / 11期

关键词：

Stochastic neutral neural networks; impulsive effects; global exponential stability; linear matrix inequality; TIME-VARYING DELAYS; GLOBAL ASYMPTOTIC STABILITY; DISTRIBUTED DELAYS; ROBUST STABILITY; DISCRETE; CRITERIA;

D O I：

10.1142/S0217984910023141

中图分类号：

O59 [应用物理学];

学科分类号：

摘要：

This paper is concerned with the exponential stability of stochastic neural networks of neutral type with impulsive effects. By employing the Lyapunov functional and stochastic analysis, a new stability criterion for the stochastic neural network is derived in terms of linear matrix inequality. A numerical example is provided to show the effectiveness and applicability of the obtained result.

引用

页码：1099 / 1110

页数：12

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