• DocumentCode
    2115102
  • Title

    Optimal control of nonlinear DAE systems

  • Author

    De Pinho, M. D R ; Sargent, R.W.H. ; Vinter, R.B.

  • Author_Institution
    Centre for Process Syst. Eng., Imperial Coll. of Sci., Technol. & Med., London, UK
  • fYear
    1993
  • fDate
    15-17 Dec 1993
  • Firstpage
    3806
  • Abstract
    Dynamic models which take the form of coupled set of differential and algebraic equations (DAEs) are widely used in process systems engineering. Necessary conditions of optimality for optimal control problems involving such models are derived. Interestingly, an optimality condition in the form of a strong maximum principle is shown to be valid only under a convexity hypothesis. However the authors prove a weak maximum principle even in the absence of convexity
  • Keywords
    algebra; maximum principle; minimisation; nonlinear differential equations; optimal control; convexity hypothesis; coupled differential/algebraic equations; dynamic models; necessary optimality conditions; nonlinear DAE systems; process systems engineering; strong maximum principle; weak maximum principle; Application software; Data engineering; Differential algebraic equations; Differential equations; Educational institutions; Medical control systems; Nonlinear equations; Optimal control; Software packages; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1993., Proceedings of the 32nd IEEE Conference on
  • Conference_Location
    San Antonio, TX
  • Print_ISBN
    0-7803-1298-8
  • Type

    conf

  • DOI
    10.1109/CDC.1993.325930
  • Filename
    325930