• DocumentCode
    797894
  • Title

    Minimax controller design

  • Author

    Salmon, D.M.

  • Author_Institution
    Stanford Research Institute, Menlo Park, CA, USA
  • Volume
    13
  • Issue
    4
  • fYear
    1968
  • fDate
    8/1/1968 12:00:00 AM
  • Firstpage
    369
  • Lastpage
    376
  • Abstract
    Given a system with uncertain parameters, a performance index, and a controller structure, it is sometimes appropriate to determine the controller parameters by minimaximizing the performance index. In many of the cases where such a controller is too pessimistic it is appropriate to minimaximize a performance sensitivity. Some properties of these two types of controllers are presented. Since the minimax problems that arise do not in general have a saddle point, they must be solved by an iterative or search procedure. A new algorithm for solving algebraic minimax problems with or without a saddle point is presented and proved to converge. The rate of convergence is discussed. The algorithm is applied to the design of a controller for a string of three vehicles.
  • Keywords
    Minimax control; Uncertain systems; Adaptive control; Control systems; Convergence; Helium; Iterative algorithms; Minimax techniques; Performance analysis; Programmable control; System performance; Vehicles;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.1968.1098941
  • Filename
    1098941