• DocumentCode
    2635222
  • Title

    Equilibrium in Linear Quadratic Stochastic Games with Unknown Parameters

  • Author

    Jimenez-Lizarraga, Manuel ; Basin, Michael

  • Author_Institution
    Dept. of Phys. & Math., Sci. Autonomous Univ., Nuevo Leon
  • fYear
    2008
  • fDate
    18-20 June 2008
  • Firstpage
    215
  • Lastpage
    215
  • Abstract
    In this paper we present a linear quadratic stochastic game in which some parameters as well as some game states cannot be determined by any of the players. Such a problem is not solvable using standard approach. Therefore, we develop strategies based on a technique that allows each player to simultaneously estimate both unknown states and parameters. The separation principle, which holds for this problem, is then applied to synthesize strategies that ensure the feedback Nash equilibrium. Stochastic differential games, estimations, Nash equilibirum.
  • Keywords
    game theory; stochastic processes; Nash equilibirum; feedback Nash equilibrium; linear quadratic stochastic games; separation principle; stochastic differential games; unknown parameters; Decision making; Feedback; Game theory; Nash equilibrium; Nonlinear equations; Nonlinear systems; Parameter estimation; State estimation; Stochastic processes; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Information and Control, 2008. ICICIC '08. 3rd International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-0-7695-3161-8
  • Electronic_ISBN
    978-0-7695-3161-8
  • Type

    conf

  • DOI
    10.1109/ICICIC.2008.255
  • Filename
    4603404