• DocumentCode
    1361952
  • Title

    Synchronization of Continuous Dynamical Networks With Discrete-Time Communications

  • Author

    Wang, Yan-Wu ; Xiao, Jiang-Wen ; Wen, Changyun ; Guan, Zhi-Hong

  • Author_Institution
    Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    22
  • Issue
    12
  • fYear
    2011
  • Firstpage
    1979
  • Lastpage
    1986
  • Abstract
    In this paper, synchronization of continuous dynamical networks with discrete-time communications is studied. Though the dynamical behavior of each node is continuous-time, the communications between every two different nodes are discrete-time, i.e., they are active only at some discrete time instants. Moreover, the communication intervals between every two communication instants can be uncertain and variable. By choosing a piecewise Lyapunov-Krasovskii functional to govern the characteristics of the discrete communication instants and by utilizing a convex combination technique, a synchronization criterion is derived in terms of linear matrix inequalities with an upper bound for the communication intervals obtained. The results extend and improve upon earlier work. Simulation results show the effectiveness of the proposed communication scheme. Some relationships between the allowable upper bound of communication intervals and the coupling strength of the network are illustrated through simulations on a fully connected network, a star-like network, and a nearest neighbor network.
  • Keywords
    Lyapunov methods; continuous systems; discrete time systems; linear matrix inequalities; synchronisation; communication intervals; continuous dynamical networks; convex combination technique; coupling strength; discrete communication; discrete-time communications; fully connected network; linear matrix inequalities; nearest neighbor network; piecewise Lyapunov-Krasovskii functional; star-like network; synchronization criterion; upper bound; Chaotic communication; Couplings; Delay; Linear matrix inequalities; Synchronization; Upper bound; Complex dynamical network; discrete-time communication; sampled-data system; synchronization; Algorithms; Artificial Intelligence; Computer Communication Networks; Computer Simulation; Models, Theoretical; Pattern Recognition, Automated; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Neural Networks, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1045-9227
  • Type

    jour

  • DOI
    10.1109/TNN.2011.2171501
  • Filename
    6060918