Document Detail


Topology identification of uncertain nonlinearly coupled complex networks with delays based on anticipatory synchronization.
MedLine Citation:
PMID:  23556964     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
This paper presents an adaptive anticipatory synchronization based method for simultaneous identification of topology and parameters of uncertain nonlinearly coupled complex dynamical networks with time delays. An adaptive controller is proposed, based on Lyapunov stability theorem and Barbǎlat's Lemma, to guarantee the stability of the anticipatory synchronization manifold between drive and response networks. Meanwhile, not only the identification criteria of network topology and system parameters are obtained but also the anticipatory time is identified. Numerical simulation results illustrate the effectiveness of the proposed method.
Authors:
Yanqiu Che; Ruixue Li; Chunxiao Han; Shigang Cui; Jiang Wang; Xile Wei; Bin Deng
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Chaos (Woodbury, N.Y.)     Volume:  23     ISSN:  1089-7682     ISO Abbreviation:  Chaos     Publication Date:  2013 Mar 
Date Detail:
Created Date:  2013-04-05     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100971574     Medline TA:  Chaos     Country:  United States    
Other Details:
Languages:  eng     Pagination:  013127     Citation Subset:  IM    
Affiliation:
Tianjin Key Laboratory of Information Sensing & Intelligent Control, Tianjin University of Technology and Education, Tianjin 300222, People's Republic of China.
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