• DocumentCode
    1836681
  • Title

    Modeling and Design of Networked Control Systems Based on Reduced Dimension Observers

  • Author

    Lei-Ming Liu ; Chao-Nan Tong ; Chan, H.

  • Author_Institution
    Sch. of Autom. & Electr. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China
  • Volume
    2
  • fYear
    2013
  • fDate
    26-27 Aug. 2013
  • Firstpage
    382
  • Lastpage
    385
  • Abstract
    The model of NCS (Networked Control Systems) with reduced dimension observer is presented when the network-induced random time-varying delays are bounded and the upper bound of which is longer than one sampling period. Thus we established a discrete-time jump system model with Markov delay. Based on this, this paper gave also design method of stabilizing controllers by the optimization method. This paper generalizes previous results on delay-less reduced dimension observer systems. Theoretical analysis and simulation on a cart and inverted pendulum with random time delay show that feedback control Based on reduced dimension observer can make the system stable.
  • Keywords
    Markov processes; delays; discrete time systems; feedback; networked control systems; nonlinear systems; observers; optimisation; pendulums; stability; time-varying systems; Markov delay; NCS; cart; delay-less reduced dimension observer systems; discrete-time jump system model; feedback control; inverted pendulum; network-induced random time-varying delays; networked control system design; networked control system modeling; optimization method; stabilizing controller design method; Delays; Linear systems; Markov processes; Networked control systems; Observers; Stability analysis; Networked Control System; jump linear system; network-induced delay; reduced dimension observer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-0-7695-5011-4
  • Type

    conf

  • DOI
    10.1109/IHMSC.2013.238
  • Filename
    6642766