• DocumentCode
    550950
  • Title

    Asynchronous switching network protocol design for networked linear switched systems

  • Author

    Ma Dan

  • Author_Institution
    State Key Lab. of Integrated Autom. for Process Ind., Northeastern Univ., Shenyang, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    4670
  • Lastpage
    4675
  • Abstract
    In this paper, we investigate the network protocol design for a class of networked switched linear control systems. The periodic switching signal can be viewed of a network protocol to guarantee the perfect transmission for networked switched control systems. Sampling and network-induced delay cause the asynchronous motions between switched subsystems and the corresponding switching controllers. We rewrite the original networked switched linear systems by sampled asynchronous switched linear systems with time-varying delay. Using the descriptor system representation method, we give a new asynchronous switching network protocol to guarantee the system is exponentially stable, which depends on the periodic switching interval, the rate of network-induced asynchronous switching, and the upper bound of time-varying delay.
  • Keywords
    delays; linear systems; networked control systems; periodic control; protocols; sampling methods; switching networks; time-varying systems; asynchronous motion; asynchronous switching network protocol design; descriptor system representation method; network-induced asynchronous switching; network-induced delay; networked control system transmission; networked switched linear control system; periodic switching signal; sampled asynchronous switched linear system; sampling delay; switched subsystem; time-varying delay; Delay; Linear systems; Protocols; Switched systems; Switches; Asynchronous Switching Network Protocol; Network-Induced Delay; Switched Linear Systems;
  • 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
    6001291