• DocumentCode
    2831954
  • Title

    Stability analysis of output feedback receding horizon controller with Kalman-Bucy filter

  • Author

    Nakayama, Takayuki ; Fujimoto, Hideo

  • Author_Institution
    Nagoya Inst. of Technol., Nagoya
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    1380
  • Lastpage
    1385
  • Abstract
    This paper proposed a model predictive controller with state observer for the system whose internal state can not be fully measured. The proposed controller is constructed by the combination of the receding horizon optimal regulator and the Kalman-Bucy type IIR state observer in the sense of the certainty equivalence principle. The stability of the controlled system is analyzed in the same way as the previous method proposed by Kwon et al. The stability conditions are given by Riccati differential inequality and Lyapunov differential inequality. The feasibility of the proposed method is shown by a simple numerical example.
  • Keywords
    IIR filters; Kalman filters; Lyapunov methods; Riccati equations; control system analysis; feedback; observers; predictive control; stability; IIR state observer; Kalman-Bucy filter; Lyapunov differential inequality; Riccati differential inequality; control system analysis; equivalence principle; model predictive controller; output feedback receding horizon controller; stability analysis; Control systems; Cost function; Finite impulse response filter; IIR filters; Optimal control; Output feedback; Predictive control; Predictive models; Stability analysis; State estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4435027
  • Filename
    4435027