Mean Square Synchronization of Stochastic Nonlinear Delayed Coupled Complex Networks

被引：2
|
作者：
Xie, Chengrong [1 ]
Xu, Yuhua [1 ]
Tong, Dongbing [1 ]
机构：
[1] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China
来源：
DISCRETE DYNAMICS IN NATURE AND SOCIETY | 2013年 / 2013卷
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
TIME-VARYING DELAYS; DYNAMICAL NETWORKS; NEURAL-NETWORKS; EXPONENTIAL SYNCHRONIZATION; ADAPTIVE SYNCHRONIZATION; DISCRETE;
D O I：
10.1155/2013/914140
中图分类号：
O1 [数学];
学科分类号：
0701 ; 070101 ;
摘要：
We investigate the problem of adaptive mean square synchronization for nonlinear delayed coupled complex networks with stochastic perturbation. Based on the LaSalle invariance principle and the properties of the Weiner process, the controller and adaptive laws are designed to ensure achieving stochastic synchronization and topology identification of complex networks. Sufficient conditions are given to ensure the complex networks to be mean square synchronization. Furthermore, numerical simulations are also given to demonstrate the effectiveness of the proposed scheme.
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页数：10
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