• DocumentCode
    2827269
  • Title

    Recursive feasibility guarantees in move-blocking MPC

  • Author

    Gondhalekar, Ravi ; Imura, Jun-ichi

  • Author_Institution
    Tokyo Inst. of Technol., Tokyo
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    1374
  • Lastpage
    1379
  • Abstract
    A method for enforcing recursive feasibility in time-invariant offset-move-blocking MPC schemes is proposed. The method constrains the state at the first prediction step to a controlled invariant feasible set, introduced recently by the authors for enforcing recursive feasibility in input-move- blocking MPC. Two algorithms for the determination of maximal controlled invariant feasible sets are presented. In the case of stabilizable, linear, time-invariant plants with time-invariant, polytopic constraints, both algorithms are semi-decidable. In situations where using one algorithm alone does not lead to decidability, both algorithms can be used together to determine a controlled invariant feasible under-approximation of the maximal controlled invariant feasible set to arbitrary accuracy.
  • Keywords
    linear systems; predictive control; recursive estimation; set theory; stability; controlled invariant feasible set; model predictive control; recursive feasibility; stabilizable linear time-invariant plants; time-invariant offset-move-blocking MPC schemes; Computational complexity; Control systems; Informatics; Information science; Optimal control; Predictive control; Predictive models; Regulators; Sufficient conditions; Trajectory; Model predictive control; constrained control; feasibility; set invariance;
  • 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.2007.4434747
  • Filename
    4434747