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
收藏
页码：2107 / 2116
页数：10
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