Stability Analysis for Stochastic Neutral-Type Memristive Neural Networks with Time-Varying Delay and S-Type Distributed Delays

被引：2
|
作者：
Wang, Changjian [1 ]
Xiong, Zuoliang [1 ]
Liang, Min [1 ]
Yin, Hongwei [1 ]
机构：
[1] Nanchang Univ, Dept Math, Nanchang 330031, Jiangxi, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2017年 / 2017卷
基金：
中国国家自然科学基金;
关键词：
SURE EXPONENTIAL STABILITY; GLOBAL ASYMPTOTIC STABILITY; SYNCHRONIZATION CONTROL; ROBUST STABILITY;
D O I：
10.1155/2017/3273758
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In this paper, we consider the input-to-stability for a class of stochastic neutral-type memristive neural networks. Neutral terms and S-type distributed delays are taken into account in our system. Using the stochastic analysis theory and Ito formula, we obtain the conditions of mean-square exponential input-to-stability for system. A numerical example is given to illustrate the correctness of our conclusions.
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收藏
页数：10
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