• DocumentCode
    404037
  • Title

    Robust MPC control based on a contractive sequence of sets

  • Author

    Limon, Daniel ; Alamo, D. Limon T ; Camacho, E.F.

  • Author_Institution
    Dept. de Ingenieria de Sistemas y Autom., Sevilla Univ., Spain
  • Volume
    4
  • fYear
    2003
  • fDate
    9-12 Dec. 2003
  • Firstpage
    3706
  • Abstract
    The closed loop formulation of the robust MPC has been shown to be a control technique capable of robustly stabilize uncertain nonlinear systems subject to constraints. This control technique mitigates the conservativeness derived from the open loop formulations but it is computationally too demanding or even untractable. This paper provides a way of overcoming the complexity of this technique. This is done by means of a sequence of sets. It is shown that it suffices to obtain a sequence of robust controllable sets. This sequence can be computed off-line using any tractable conservative procedure for the computation of the robust one-step set. Incorporating this sequence as a stabilizing constraint in the optimization problem, robust stability is guaranteed in case of suboptimal solutions or open loop approaches. Then, the optimization problem can be considerably simplified, yielding tractable approaches at the expense of performance. The proposed technique has been applied to a CSTR model.
  • Keywords
    closed loop systems; computational complexity; nonlinear systems; optimisation; predictive control; robust control; uncertain systems; CSTR model; MPC; closed loop formulation; continuous stirred tank reactor model; contractive sequence; open loop formulations; optimization problem; robust controllable sets; robust model predictive control; robust stability; stabilizing constraint; uncertain nonlinear systems; Constraint optimization; Constraint theory; Control systems; Nonlinear control systems; Nonlinear systems; Open loop systems; Robust control; Robust stability; Robustness; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2003. Proceedings. 42nd IEEE Conference on
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-7924-1
  • Type

    conf

  • DOI
    10.1109/CDC.2003.1271725
  • Filename
    1271725