• DocumentCode
    2828497
  • Title

    Nash strategies for dynamic noncooperative linear quadratic sequential games

  • Author

    Shen, Dan ; Cruz, Jose B., Jr.

  • Author_Institution
    Intelligent Autom. Inc., Rockville
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    4075
  • Lastpage
    4080
  • Abstract
    There is limited formal mathematical analysis of one type of games - dynamic sequential games with large, or even infinitely large, planning horizons, from the point view of system controls. In this paper, we consider a class of noncooperative dynamic linear quadratic sequential games (LQSGs). For LQSGs with finite planning horizons, we provide state feedback Nash strategies, and their existence and uniqueness within the class of state feedback strategies are proved. When the planning horizon approaches infinity, we prove that the feedback systems with the state feedback Nash strategies are uniformly asymptotically stable, given that the associated coupled Riccati equations have a positive definite solution. Finally we show that at least one positive definite solution for the coupled Riccati equations of a scalar LQSG exists.
  • Keywords
    Riccati equations; asymptotic stability; game theory; state feedback; asymptotic stability; coupled Riccati equation; finite planning horizon; noncooperative dynamic linear quadratic sequential games; state feedback Nash strategy; Advertising; Contracts; Control systems; Educational institutions; H infinity control; Mathematical analysis; Riccati equations; State feedback; Strategic planning; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434815
  • Filename
    4434815