• DocumentCode
    706739
  • Title

    Robust control of general constrained batch processes

  • Author

    Alamir, M. ; Balloul, I.

  • Author_Institution
    Lab. d´Autom. de Grenoble, St. Martin d´Hères, France
  • fYear
    1999
  • fDate
    Aug. 31 1999-Sept. 3 1999
  • Firstpage
    2407
  • Lastpage
    2412
  • Abstract
    In this paper, an implementable algorithm that enables to robustly control batch processes is proposed. The resulting state feedback algorithm is based on repeated online solution of constrained open loop min-max problems associated to the worst-case perturbations and/or uncertainties. These solutions are then used in a receding horizon scheme in order to yield a robust state feedback controller.
  • Keywords
    minimax techniques; perturbation techniques; predictive control; robust control; state feedback; uncertain systems; constrained open loop min-max problems; general constrained batch processes; receding horizon scheme; repeated online solution; robust state feedback controller; state feedback algorithm; uncertainties; worst-case perturbations; Input Saturation; Non convex optimization; Robust nonlinear control; batch processes; end point optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 1999 European
  • Conference_Location
    Karlsruhe
  • Print_ISBN
    978-3-9524173-5-5
  • Type

    conf

  • Filename
    7099683