• DocumentCode
    2839276
  • Title

    Feedforward and feedback optimal control for networked control systems with long time-delay

  • Author

    Zhang, Yong ; Tang, Gong-You

  • Author_Institution
    Coll. of Inf. & Control Eng., China Univ. of Pet. (East China), Dongying, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    521
  • Lastpage
    526
  • Abstract
    An optimal disturbance attenuation approach for networked control systems with network-induced time-delay is considered in this paper. Based on fuzzy fusion technology, the system with long control time-delay is transformed into the one without time-delay formally. The Kalman filter is employed for the optimal state estimate of white-noise processes, and the physically realizable problem of optimal disturbance attenuation control law is solved. Then the existence and uniqueness conditions of feedforward and feedback optimal control law are proposed, and the algorithm of solving the optimal control problem is presented. Finally, a simulation example is employed to verify the validity of the proposed control algorithm.
  • Keywords
    Kalman filters; delays; distributed parameter systems; feedback; feedforward; fuzzy control; optimal control; Kalman filter; feedback optimal control; feedforward optimal control; fuzzy fusion technology; long control time-delay; network-induced time-delay; networked control systems; optimal disturbance attenuation control law; white-noise processes; Attenuation; Control systems; Educational institutions; Feedback; Fuzzy control; Fuzzy systems; Networked control systems; Optimal control; Sampling methods; State estimation; Fuzzy fusion; Kalman filter; Networked control systems; Optimal control; Time-delay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2009. CCDC '09. Chinese
  • Conference_Location
    Guilin
  • Print_ISBN
    978-1-4244-2722-2
  • Electronic_ISBN
    978-1-4244-2723-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2009.5194943
  • Filename
    5194943