• DocumentCode
    3731000
  • Title

    Finite-time signal lag-projective synchronous transmission between uncertain complex networks with NH3 and CO2 lasers

  • Author

    Meng Zhang; Min Han

  • Author_Institution
    Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, China
  • fYear
    2015
  • Firstpage
    835
  • Lastpage
    840
  • Abstract
    The finite-time signal lag-projective synchronous transmission problem of two uncertain complex networks with NH3 and CO2 lasers is investigated. First, the chaotic characteristics of NH3 laser and CO2 laser are derived. Then two networks with unknown parameters and uncertain topological structure are constructed. Based on the finite-time stability theory and LaSalle´s principle, the effective synchronous transmission controller and corresponding update laws are designed to guarantee lag-projective synchronization of the two uncertain complex networks in a given finite-time. Simultaneously, the unknown parameters of node dynamic are estimated successfully and the uncertain topology weights tend to the proper constants. Finally, the NH3 laser and CO2 laser are taken as node dynamics to constitute drive-response networks for simulation. The simulation results verified the effectiveness of the synchronization criteria. Moreover, the proposed approach can rapidly track the network topology changes well and the weight topology structure values are automatically adapted to the appropriate constants in the process of synchronous transmission. Furthermore, the proposed method is universal which need not assume the node dynamics satisfy the powerful and conservative Lipchitz condition.
  • Keywords
    "Artificial neural networks","Adaptation models","Differential equations"
  • Publisher
    ieee
  • Conference_Titel
    Chinese Automation Congress (CAC), 2015
  • Type

    conf

  • DOI
    10.1109/CAC.2015.7382614
  • Filename
    7382614