• DocumentCode
    2914131
  • Title

    Evasion as a team against a faster pursuer

  • Author

    Shih-Yuan Liu ; Zhengyuan Zhou ; Tomlin, Claire ; Hedrick, Karl

  • Author_Institution
    Dept. of Mech. Eng., Univ. of California, Berkeley, Berkeley, CA, USA
  • fYear
    2013
  • fDate
    17-19 June 2013
  • Firstpage
    5368
  • Lastpage
    5373
  • Abstract
    In this paper, we present an open-loop formulation of a single-pursuer-multiple-evader pursuit-evasion game. In this game, the pursuer attempts to minimize the total capture time of all the evaders while the evaders, as a team, cooperate to maximize this time. The information pattern considered here is conservative towards the evaders. One important advantage of this open-loop approach over the geometrical approach in the literature is that it provides guaranteed survival time of the evader team for all initial conditions, without the limitation that the pursuer must capture the evaders in a specific sequence. Another advantage of this approach is that under the open-loop framework, we can quickly generate controls for multiple players that the classical Hamilton-Jacobi-Isaacs (HJI) approach, due to its computational infeasibility, cannot handle. We also relax the conservatism inherent in this open-loop formulation by presenting an iterative open-loop scheme of the evaders´ evasion strategy. Simulations for the open-loop, the iterative open-loop as well as the HJI approaches are presented, with the results on performance analyzed and discussed.
  • Keywords
    game theory; geometry; iterative methods; mobile robots; multi-robot systems; open loop systems; HJI approach; Hamilton-Jacobi-Isaacs approach; autonomous agent teams; conservatism; evader evasion strategy; evader team; geometrical approach; information pattern; iterative open-loop scheme; multiple players; open-loop formulation; open-loop framework; single-pursuer-multiple-evader pursuit-evasion game; survival time; total capture time; Computational modeling; Games; Iterative methods; Joints; Layout; Optimization; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2013
  • Conference_Location
    Washington, DC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-0177-7
  • Type

    conf

  • DOI
    10.1109/ACC.2013.6580676
  • Filename
    6580676