• DocumentCode
    2843738
  • Title

    Stochastic optimal control based on variable-period sampling model for Networked Control Systems with random delays

  • Author

    Guo, Xinlan ; Wang, Hong

  • Author_Institution
    Inst. of Autom., Chinese Acad. of Sci., Beijing, China
  • fYear
    2009
  • fDate
    17-19 June 2009
  • Firstpage
    5582
  • Lastpage
    5586
  • Abstract
    This paper presents a stochastic optimal controller using the variable-period sampling networked control systems (NCSs) model, where it has been assumed that the random network-induced delay only exists between sensor and controller and the time delay occuring at current sampling step is taken as the sampling period between current sampling step and next sampling step. It is assumed that the random delay is subjected to a uniform distribution in the interval between 0 and the maximal random delay. The proposed stochastic optimal controller is shown to produce a closed loop system which exhibits exponentially mean square stability. In the end, the simulations on an inverted pendulum process and DC motor are studied, which show that the proposed algorithm can produce desired control effect.
  • Keywords
    asymptotic stability; closed loop systems; delays; machine control; optimal control; stochastic systems; DC motor; NCS; closed loop system; exponentially mean square stability; inverted pendulum process; networked control system; random delay; stochastic optimal controller; variable-period sampling model; Closed loop systems; Control systems; Delay effects; Delay systems; Networked control systems; Optimal control; Sampling methods; Sensor systems; Stability; Stochastic systems; Exponentially Mean Square Stable; Networked Control Systems; Stochastic Optimal Control; Variable-period Sampling Model;
  • 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.2009.5195192
  • Filename
    5195192