Finite-time stochastic synchronization of time-delay neural networks with noise disturbance

被引：24
|
作者：
Shi, Xuerong [1 ,2 ]
Wang, Zuolei [1 ]
Han, Lixin [2 ]
机构：
[1] Yancheng Teachers Univ, Sch Math & Stat, Yancheng, Peoples R China
[2] Hohai Univ, Comp & Informat Engn Coll, Nanjing, Jiangsu, Peoples R China
来源：
NONLINEAR DYNAMICS | 2017年 / 88卷 / 04期
基金：
中国国家自然科学基金;
关键词：
Finite-time stochastic synchronization; Time-delay neural network; Noise disturbance; DYNAMICAL NETWORKS; SYSTEMS; STABILITY; PARAMETERS;
D O I：
10.1007/s11071-017-3408-2
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The finite-time stochastic synchronization of time-delay neural networks with noise disturbance is investigated according to finite-time stability theory of stochastic differential equation. Via constructing suitable Lyapunov function and controllers, finite-time stochastic synchronization is realized and sufficient conditions are derived. By analyzing the synchronization progress, factors affecting the convergence speed are given and feasible suggestions are proposed to improve the convergence rate. Finally, numerical simulations are given to verify the theoretical results.
引用
收藏
页码：2747 / 2755
页数：9
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