中国物理B ›› 2008, Vol. 17 ›› Issue (11): 4080-4090.doi: 10.1088/1674-1056/17/11/022
唐 漾1, 方建安1, 钟恢凰2
Tang Yang (唐漾)a, Zhong Hui-Huang(钟恢凰)b, Fang Jian-An(方建安)a
摘要: 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.
中图分类号: (Synchronization; coupled oscillators)