• DocumentCode
    490645
  • Title

    Receding Horizon Control with an Infinite Horizon

  • Author

    Meadows, Edward S. ; Rawlings, James B.

  • Author_Institution
    Department of Chemical Engineering, The University of Texas at Austin, Austin Texas 78712
  • fYear
    1993
  • fDate
    2-4 June 1993
  • Firstpage
    2926
  • Lastpage
    2930
  • Abstract
    Receding horizon control, also called model predictive control, is an optimal control-based method for finding constrained feedback controllers. Several of the standard formulations provide no stability guarantees even if an optimum exists. In this paper, we extend the concept of model predictive control to an infinite horizon to show that such a formulation guarantees the stability of the resulting feedback controller. We also introduce a framework for analysis of receding horizon controllers that will allow future study of other important properties of receding horizon controllers, such as robustness and continuity of feedback control laws.
  • Keywords
    Adaptive control; Control systems; Infinite horizon; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear equations; Optimal control; Predictive control; Predictive models; Stability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1993
  • Conference_Location
    San Francisco, CA, USA
  • Print_ISBN
    0-7803-0860-3
  • Type

    conf

  • Filename
    4793436