Mean Square Synchronization of Stochastic Nonlinear Delayed Coupled Complex Networks
Author(s) -
Chengrong Xie,
Yuhua Xu,
Dongbing Tong
Publication year - 2013
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2013/914140
Subject(s) - nonlinear system , synchronization (alternating current) , mean square , control theory (sociology) , complex network , mathematics , computer science , perturbation (astronomy) , stochastic process , controller (irrigation) , topology (electrical circuits) , invariance principle , control (management) , artificial intelligence , statistics , linguistics , physics , philosophy , combinatorics , quantum mechanics , agronomy , biology
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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