• DocumentCode
    2326898
  • Title

    An iterative ADP approach for solving a class of nonlinear zero-sum differential games

  • Author

    Wei, Qinglai ; Liu, Derong

  • Author_Institution
    Key Lab. of Complex Syst. & Intell. Sci., Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    10-12 April 2010
  • Firstpage
    279
  • Lastpage
    285
  • Abstract
    In this paper, an adaptive dynamic programming (ADP) method is developed for solving a class of continuous-time nonlinear two-person zero-sum games. The idea is to use iterative ADP technique to obtain the optimal control pair which makes the performance index function reach the saddle point. It is shown that the control pair obtained by the present ADP method will stabilize the nonlinear system. Also the convergence proof of the performance index function is given. Finally, simulation study will show the effectiveness of the present method.
  • Keywords
    continuous time systems; convergence; dynamic programming; game theory; iterative methods; nonlinear control systems; optimal control; adaptive dynamic programming; continuous-time games; convergence proof; iterative ADP approach; nonlinear zero-sum differential games; Communication system control; Control systems; Convergence; Dynamic programming; Game theory; Iterative methods; Nonlinear control systems; Nonlinear systems; Optimal control; Performance analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Sensing and Control (ICNSC), 2010 International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-6450-0
  • Type

    conf

  • DOI
    10.1109/ICNSC.2010.5461622
  • Filename
    5461622