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.
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页数：8
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