DocumentCode :
418379
Title :
Synchronization in systems coupled via complex networks
Author :
Wu, Chai Wah
Author_Institution :
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
Volume :
4
fYear :
2004
fDate :
23-26 May 2004
Abstract :
Recently, several models of complex networks such as small world networks and scale free networks have emerged in order to model real-life networks. This paper studies the synchronization that occurs in an array of identical chaotic systems coupled via such complex networks. We show that locally coupled arrays and randomly coupled arrays form two extremes in terms of their synchronization properties. Furthermore, we show that a locally coupled array can be made to synchronize by adding arbitrarily small couplings to an arbitrarily small fraction of coupling sites. We also present a criterion to classify such complex networks according to their synchronizability in the limit.
Keywords :
Web sites; chaotic communication; coupled circuits; discrete time systems; large-scale systems; synchronisation; time-varying systems; chaotic systems; complex networks; locally coupled arrays; randomly coupled arrays; real-life networks; scale free networks; small world networks; synchronization properties; Brain modeling; Chaos; Complex networks; Eigenvalues and eigenfunctions; Electronic mail; Intelligent networks; Power grids; Sparse matrices; Symmetric matrices; Web sites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN :
0-7803-8251-X
Type :
conf
DOI :
10.1109/ISCAS.2004.1329106
Filename :
1329106
Link To Document :
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