• 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