Stochastic Synchronization of Complex Networks With Mixed Impulses

被引：78
|
作者：
Wong, W. K. [1 ]
Zhang, Wenbing [1 ,2 ]
Tang, Yang [3 ,4 ]
Wu, Xiaotai [5 ]
机构：
[1] Hong Kong Polytech Univ, Inst Text & Clothing, Hong Kong, Hong Kong, Peoples R China
[2] YangZhou Univ, Dept Math, Yangzhou 225002, Jiangsu, Peoples R China
[3] Humboldt Univ, Inst Phys, D-12489 Berlin, Germany
[4] Potsdam Inst Climate Impact Res, D-14415 Potsdam, Germany
[5] Anhui Polytech Univ, Dept Math, Wuhu 241000, Anhui, Peoples R China
来源：
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | 2013年 / 60卷 / 10期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
Average impulsive interval; complex networks; delayed coupling; desynchronizing impulses; synchronizing impulses; COUPLED NEURAL-NETWORKS; GLOBAL SYNCHRONIZATION; DYNAMICAL NETWORKS; STABILITY ANALYSIS; DELAY; SYSTEMS;
D O I：
10.1109/TCSI.2013.2244330
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, stochastic synchronization is studied for complex networks with delayed coupling and mixed impulses. Mixed impulses are composed of desynchronizing and synchronizing impulses. The delayed coupling term involves transmission delay and self-feedback delay. By using the average impulsive interval approach and the comparison principle, several conditions are derived to guarantee that exponential synchronization of complex networks is achieved in the mean square. The derived conditions are closely related to the impulsive strengths, the frequency of impulse occurrence, and the coupling structure of complex networks. Numerical simulations are presented to further demonstrate the effectiveness of the proposed approach.
引用
收藏
页码：2657 / 2667
页数：11
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