• DocumentCode
    1403917
  • Title

    Stability of Networked Control Systems With Polytopic Uncertainty and Buffer Constraint

  • Author

    Wu, Dongxiao ; Wu, Jun ; Chen, Sheng ; Chu, Jian

  • Author_Institution
    State Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
  • Volume
    55
  • Issue
    5
  • fYear
    2010
  • fDate
    5/1/2010 12:00:00 AM
  • Firstpage
    1202
  • Lastpage
    1208
  • Abstract
    We consider the stability of the discrete-time networked control systems (NCSs) with polytopic uncertainty, where a smart controller is updated with the buffered sensor information at stochastic intervals and the amount of the buffered data received by the controller under the buffer capacity constraint is also random. We establish sufficient conditions for guaranteeing the exponential stability of generic switched NCSs and the exponential mean square stability of Markov-chain driven NCSs, respectively. An illustrative example is given to demonstrate the effectiveness of our results.
  • Keywords
    Markov processes; asymptotic stability; discrete time systems; distributed control; mean square error methods; stochastic systems; Markov-chain; buffer capacity constraint; buffer constraint; buffered sensor information; discrete-time networked control system; exponential mean square stability; generic switched NCS; polytopic uncertainty; smart controller; stochastic interval; stochastic system; Adaptive control; Capacitive sensors; Communication system control; Control systems; Costs; Electronic mail; Error correction; Mechanical systems; Networked control systems; Nonlinear control systems; Nonlinear systems; Stability; Stability analysis; Stochastic systems; Uncertainty; Wireless sensor networks; Buffer constraint; networked control systems (NCSs); polytopic uncertainty; stochastic systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2010.2042232
  • Filename
    5406143