• DocumentCode
    2390777
  • Title

    Leader-follower strategies for a multi-plant differential game

  • Author

    Jiménez-Lizárraga, Manuel ; Poznyak, Alex ; Alcorta, M.A.

  • Author_Institution
    Fac. of Phys. & Math. Sci. Autonomous, Univ. of Nuevo Leon, San Nicolas de los Garza
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    3839
  • Lastpage
    3844
  • Abstract
    In this paper the formulation of a concept for a type of robust leader-follower equilibrium for a multi-plant or multiple scenarios differential game is developed. The game dynamic is given by a family of N different possible differential equations (multi-model representation) with no information about the trajectory which is realized. The robust leader-follower strategy for each player must confront with all possible scenarios simultaneously. The problem of each player is the designing of min-max strategies for each player which guarantee an equilibrium for the worst case scenario. Based on the robust maximum principle, the conditions for a game to be in robust leader-follower equilibrium are presented. As in the Nash equilibrium case the initial min-max differential game may be converted into a standard static game given in a multidimensional simplex. A numerical procedure for resolving the case of linear quadratic differential game is presented.
  • Keywords
    game theory; minimax techniques; Nash equilibrium; game dynamic; linear quadratic differential game; min-max differential game; min-max strategies; multiplant differential game; multiple scenarios differential game; robust leader-follower equilibrium; robust leader-follower strategy; robust maximum principle; standard static game; Automatic control; Cost function; Design optimization; Differential equations; Large-scale systems; Multidimensional systems; Nash equilibrium; Optimal control; Robustness; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4587092
  • Filename
    4587092