• DocumentCode
    177094
  • Title

    Synchronization of directed complex dynamical networks based on distributed event-triggered communications

  • Author

    Jie Liu ; ChunXia Fan

  • Author_Institution
    Nanjing Univ. of Posts & Telecommun., Nanjing, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    4823
  • Lastpage
    4828
  • Abstract
    This paper studies the problem of synchronization on a complex dynamical network where the nodes´ dynamics are nonlinear time-invariant systems and share a directed communication network. Firstly, we study the problem of synchronization on a directed network with physical links. An explicit Lyapunov function is constructed by using an appropriate matrix to derive the threshold of event generator. Then, the centralized event-triggered rule is achieved by using the set stability theory. Based on the centralized event-triggered rule, the distributed one is proposed to synchronize the directed complex network. The threshold of each event generator is composed of each node´s states rather than neighboring node´s. Finally, a numerical example is given to validate the correctness of the proposed synchronization criteria based on distributed event-triggered communication.
  • Keywords
    Lyapunov matrix equations; large-scale systems; network theory (graphs); stability; centralized event-triggered rule; directed communication network; directed complex dynamical network synchronization; directed complex network synchronization; directed network; distributed event-triggered communications; event generator; explicit Lyapunov function; matrix; nonlinear time-invariant systems; physical links; set stability theory; Artificial neural networks; Complex networks; Couplings; Educational institutions; Lyapunov methods; Media; Synchronization; Lyapunov function; directed topology; distributed; event-triggered; synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6853037
  • Filename
    6853037