• DocumentCode
    706598
  • Title

    Regularisation of maximum principle and improvement methods in quadratic problems of optimal control

  • Author

    Srochko, V.A. ; Antonik, V.G. ; Dushutina, S.N.

  • Author_Institution
    Math. Fac., Irkutsk Univ., Irkutsk, Russia
  • fYear
    1999
  • fDate
    Aug. 31 1999-Sept. 3 1999
  • Firstpage
    1603
  • Lastpage
    1608
  • Abstract
    Quadratic, nonconvex problem with bounded control is considered. A procedure of phase regularisation along the fixed admissible pair (control, state) is applied with the goal of improvement of the maximum principle and corresponding methods in given problem. The first result is a new optimality condition which includes the maximum principle as a corolary. The second result is a new method of successive approximations which has more effective characteristics of improement and convergence than known ones.
  • Keywords
    concave programming; maximum principle; quadratic programming; maximum principle; nonconvex problem; optimal control; phase regularisation; quadratic problem; Convergence; Optimal control; Switches; Symmetric matrices; TV; Trajectory; Numerical methods; Optimal control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 1999 European
  • Conference_Location
    Karlsruhe
  • Print_ISBN
    978-3-9524173-5-5
  • Type

    conf

  • Filename
    7099542