Synchronization of stochastically hybrid coupled neural networks with coupling discrete and distributed time-varying delays |
| |
Authors: | Tang Yang Zhong Hui-Huang and Fang Jian-An |
| |
Institution: | Department of Automation, Donghua University, Shanghai 201620, China; Department of Communication, Donghua University, Shanghai
201620, China |
| |
Abstract: | A general model of linearly stochastically coupled identical
connected neural networks with hybrid coupling is proposed, which is
composed of constant coupling, coupling discrete time-varying delay
and coupling distributed time-varying delay. All the coupling terms
are subjected to stochastic disturbances described in terms of
Brownian motion, which reflects a more realistic dynamical behaviour
of coupled systems in practice. Based on a simple adaptive feedback
controller and stochastic stability theory, several sufficient
criteria are presented to ensure the synchronization of linearly
stochastically coupled complex networks with coupling mixed
time-varying delays. Finally, numerical simulations illustrated by
scale-free complex networks verify the effectiveness of the proposed
controllers. |
| |
Keywords: | stochastically hybrid coupling discrete and distributed time-varying delays complex dynamical
networks chaotic neural networks |
本文献已被 维普 等数据库收录! |
| 点击此处可从《中国物理 B》浏览原始摘要信息 |
| 点击此处可从《中国物理 B》下载免费的PDF全文 |
|