• DocumentCode
    582624
  • Title

    Stackelberg games of large population multi-agent systems: Centralized and distributed strategies

  • Author

    Wang, Bing-Chang ; Zhang, Ji-Feng

  • Author_Institution
    Acad. of Math. & Syst. Sci., Beijing, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    6303
  • Lastpage
    6308
  • Abstract
    In the paper, Stackelberg games are investigated for large population multi-agent systems involving a major agent and a large number of minor agents. In each stage of the game, the major agent first makes decisions, and then all minor agents give strategies simultaneously. A set of centralized Stackelberg equilibrium strategy is first provided, and then, by the mean field approach and the brute force method, a set of distributed strategies is given. Under a mild condition, it is shown that the closed-loop system is uniformly stable and the set of distributed strategies is an ε-Stackelberg equilibrium.
  • Keywords
    closed loop systems; game theory; multi-agent systems; ε-Stackelberg equilibrium; Stackelberg equilibrium strategy; Stackelberg games; closed-loop system; large population multiagent systems; minor agents; Closed loop systems; Games; Indexes; Mathematical model; Real-time systems; Sociology; Statistics; Multi-agent system; Stackelberg equilibrium; distributed games; mean field approach; optimal control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6391045