• DocumentCode
    2254079
  • Title

    Multimodel prey-predator LQ differential games

  • Author

    Poznyak, Alex S. ; Gallegos, C.J.

  • Author_Institution
    Dept. of Autom. Control, CINVESTAV-IPN, Mexico City, Mexico
  • Volume
    6
  • fYear
    2003
  • fDate
    4-6 June 2003
  • Firstpage
    5369
  • Abstract
    A two person prey-predator (evader-pursuit) dynamic linear quadratic game is considered. In general, this problem belongs to the class of non-zero sum dynamic games. An original dynamic linear time varying system with additive disturbances or uncertainties is replaced by a finite set of dynamic models such that each one describes a particular uncertain case including exact realizations of possible dynamic equations as well as external bounded disturbances. Each model from a given finite set is characterized by a quadratic performance index. The developed minimax LG control strategy provides a Nash equilibrium in the given mini-max differential game. This problem is shown to be reduced to finding of a Nash equilibrium point in a finite dimensional simplex.
  • Keywords
    differential games; linear quadratic control; minimax techniques; multidimensional systems; predator-prey systems; Nash equilibrium; additive disturbance; differential linear quadratic game; dynamic linear time varying system; evader-pursuit; external bounded disturbance; finite dimensional optimization; minimax LG control strategy; minimax differential game; multimodel prey-predator LQ differential game; nonzero sum dynamic game; quadratic performance index; Centralized control; Control systems; Frequency domain analysis; IEEE members; Inverse problems; Minimax techniques; Nash equilibrium; Riccati equations; State feedback; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2003. Proceedings of the 2003
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-7896-2
  • Type

    conf

  • DOI
    10.1109/ACC.2003.1242582
  • Filename
    1242582