Robust Exponential Stability of Impulsive Stochastic Neural Networks with Leakage Time-Varying Delay

被引：0

作者：

Lu, Chunge ^{[1
]}

Wang, Linshan ^{[1
]}

机构：

[1] Ocean Univ China, Coll Math Sci, Qingdao 266100, Peoples R China

来源：

ABSTRACT AND APPLIED ANALYSIS | 2014年

基金：

美国国家科学基金会;

关键词：

SYSTEMS; PERTURBATIONS; TERM; BAM;

D O I：

10.1155/2014/831027

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper investigates mean-square robust exponential stability of the equilibrium point of stochastic neural networks with leakage time-varying delays and impulsive perturbations. By using Lyapunov functions and Razumikhin techniques, some easy-to-test criteria of the stability are derived. Two examples are provided to illustrate the efficiency of the results.

引用

页数：8

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