• DocumentCode
    550296
  • Title

    Adaptive synchronization of nonlinearly stochastically coupled networks with two types of time-varying delays

  • Author

    Guo Li-Lin ; Yi Jing-Wen ; Huang Yue-Hua ; Xiao Jiang-Wen

  • Author_Institution
    Dept. of Control Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    854
  • Lastpage
    858
  • Abstract
    In this paper, a general model of nonlinearly stochastically coupled network with two types of time-varying delays is proposed. The network model is subject to stochastic disturbance described by Wiener process in the nonlinear coupling term. The two types of time-varying delays are the system delay in the nodes dynamics and the coupling delay between nodes. By employing the stochastic It differential formula and the LaSalle´s invariant principle of the stochastic differential equation, several sufficient criteria are deduced to ensure the synchronization in mean square for the whole nonlinearly stochastically coupled network. The presented adaptive controller for the network synchronization is rather simple in form which is useful for future practical engineering design. A numerical simulation is given to show the effectiveness of the theoretical result.
  • Keywords
    adaptive control; delays; differential equations; networked control systems; stochastic processes; stochastic systems; LaSalle invariant principle; Wiener process; adaptive controller; adaptive synchronization; coupling delay; nonlinearly stochastically coupled networks; stochastic It differential formula; stochastic differential equation; stochastic disturbance; system delay; time-varying delays; Adaptive systems; Couplings; Delay; Delay effects; Stochastic processes; Symmetric matrices; Synchronization; Adaptive Control; Complex Network; Synchronization; Time Delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6000634