• DocumentCode
    1797522
  • Title

    Impulsive synchronization of coupled switched neural networks with impulsive time window

  • Author

    Xin Wang ; Chuandong Li ; Tingwen Huang ; Xiaofeng Liao

  • Author_Institution
    Dept. Elct. & Inf. Eng., Southwest Univ., Chongqing, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    2624
  • Lastpage
    2628
  • Abstract
    This paper formulates and studies a more general model of coupled switched neural networks with impulsive time window. The main feature of impulsive time window is that impulses can exist the stochastic instants of the whole switching interval not the switching instants and a pre-specified instants. Moreover, the impulsive numbers of every subsystems is not the same. Using switching Lyapunov functions and a generalized Halany inequality, some general criteria which characterize the impulses and switching effects in aggregated form, for asymptotically synchronization and exponential synchronization of this general model are established.
  • Keywords
    Lyapunov methods; neural nets; stochastic systems; synchronisation; Lyapunov functions; asymptotically synchronization; coupled switched neural networks; exponential synchronization; generalized Halany inequality; impulsive numbers; impulsive synchronization; impulsive time window; stochastic instants; switching effects; switching interval; Chaotic communication; Complex networks; Couplings; Neural networks; Switches; Synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), 2014 International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6627-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2014.6889493
  • Filename
    6889493