Globally exponential stability of stochastic neutral-type delayed neural networks with impulsive perturbations and Markovian switching

被引：17

作者：

Gao, Yan ^{[1
]}

Zhou, Wuneng ^{[1
]}

Ji, Chuan ^{[1
]}

Tong, Dongbing ^{[1
]}

Fang, Jian'an ^{[1
]}

机构：

[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China

来源：

NONLINEAR DYNAMICS | 2012年 / 70卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Neutral-type networks; Impulsive perturbations; Markovian switching; Exponential stability; Time delays; SYNCHRONIZATION;

D O I：

10.1007/s11071-012-0603-z

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

The problem of globally exponential stability of stochastic neutral-type delayed neural networks with impulsive perturbations and Markovian switching is studied in this paper. By using the Lyapunov-Krasovskii method and the stochastic analysis approach, a sufficient condition to ensure globally exponential stability for the stochastic neutral-type delayed neural networks with impulsive perturbations and Markovian switching is derived. Finally, a numerical example is given to illustrate the effectiveness of the result proposed in this paper.

引用

页码：2107 / 2116

页数：10

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