Synchronization of Stochastic Dynamical Networks Under Impulsive Control With Time Delays

被引:122
|
作者
Zhang, Wenbing [1 ]
Tang, Yang [2 ]
Miao, Qingying [3 ]
Fang, Jian-An [4 ]
机构
[1] Yangzhou Univ, Dept Math, Yangzhou 225002, Jiangsu, Peoples R China
[2] Potsdam Inst Climate Impact Res, D-14473 Potsdam, Germany
[3] Shanghai Jiao Tong Univ, Sch Continuing Educ, Shanghai 200240, Peoples R China
[4] Donghua Univ, Sch Informat Sci & Technol, Shanghai 201620, Peoples R China
基金
中国国家自然科学基金; 上海市自然科学基金;
关键词
Complex networks; impulsive effects; stochastic synchronization; time delays; NEURAL-NETWORKS; EXPONENTIAL SYNCHRONIZATION; STABILITY; SYSTEMS; CRITERIA;
D O I
10.1109/TNNLS.2013.2294727
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, the stochastic synchronization problem is studied for a class of delayed dynamical networks under delayed impulsive control. Different from the existing results on the synchronization of dynamical networks under impulsive control, impulsive input delays are considered in our model. By assuming that the impulsive intervals belong to a certain interval and using the mathematical induction method, several conditions are derived to guarantee that complex networks are exponentially synchronized in mean square. The derived conditions reveal that the frequency of impulsive occurrence, impulsive input delays, and stochastic perturbations can heavily affect the synchronization performance. A control algorithm is then presented for synchronizing stochastic dynamical networks with delayed synchronizing impulses. Finally, two examples are given to demonstrate the effectiveness of the proposed approach.
引用
收藏
页码:1758 / 1768
页数:11
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