• DocumentCode
    2727434
  • Title

    Adaptive synchronization-based approach for real-time identification of coupling delays or node delays in dynamical complex networks

  • Author

    Xiaoming Wu ; Zhiyong Sun ; Feng Liang ; Changbin Vu

  • Author_Institution
    Shandong Provincial Key Lab. of Comput. Network, Shandong Comput. Sci. Center, Jinan, China
  • fYear
    2013
  • fDate
    12-14 June 2013
  • Firstpage
    777
  • Lastpage
    782
  • Abstract
    The control and synchronization of time-delayed complex networks have gained considerable attention recently. However, in the existing literature there is few result on the delay estimation in complex networks. In this paper, based on the observer concept and the adaptive synchronization strategy, we present a general and systematic method to estimate the unknown time delays in complex networks. Two kinds of delays, the coupling delays and the node delays, are considered. Several criteria are obtained for the real time identification of the unknown network delays. The local stability of the augmented error systems is proved via the Lyapunov-Krasovskii functional approach and the Barbalat´s Lemma. Two typical examples are presented to verify the effectiveness of the proposed approach.
  • Keywords
    Lyapunov methods; complex networks; delay estimation; observers; stability; synchronisation; time-varying networks; Barbalats lemma; Lyapunov-Krasovskii functional approach; adaptive synchronization-based approach; augmented error systems local stability; controller design; coupling delays; dynamical complex networks; node delays; observer concept; real-time identification; time delay estimation; time-delayed complex networks; unknown network delay identification; Adaptive systems; Complex networks; Couplings; Delay estimation; Observers; Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation (ICCA), 2013 10th IEEE International Conference on
  • Conference_Location
    Hangzhou
  • ISSN
    1948-3449
  • Print_ISBN
    978-1-4673-4707-5
  • Type

    conf

  • DOI
    10.1109/ICCA.2013.6565048
  • Filename
    6565048