Global mean square exponential synchronization of stochastic neural networks with time-varying delays

Yinzhe Wu, J. Zhong, Ling Liu
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引用次数: 1

Abstract

In this paper, we study the global mean square exponential synchronization of stochastic neural networks with time-varying delays (MSDNN). Two types of control scheme are served to synchronize a sort of MSDNN. A variety of synchronization qualifications depended on system structure are established by the means of Lyapunov function and itô formula. Some statistical examples are supplied to authenticate the results.
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时变时滞随机神经网络的全局均方指数同步
本文研究了时变时滞随机神经网络的全局均方指数同步问题。两种类型的控制方案被用于同步一类msdn。利用Lyapunov函数和itô公式建立了不同系统结构的各种同步条件。给出了一些统计实例来验证结果。
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