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  • 标题:Inverse Noncooperative Dynamic Games * * This work has been conducted under the Australian Research Council Linkage Project LP130100483 with the support of Boeing Research and Technology Australia
  • 本地全文:下载
  • 作者:Timothy L. Molloy ; Jason J. Ford ; Tristan Perez
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:11788-11793
  • DOI:10.1016/j.ifacol.2017.08.1989
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe consider the problem of computing parameters of player cost functions in discrete-time nonzero-sum noncooperative dynamic games from open-loop Nash equilibria. Although similar inverse problems have been investigated in the optimal control literature where there is a single player (or decision maker), there has been limited attention given to the inverse dynamic game problem with multiple (competing) players. By exploiting the minimum principle of optimal control, we propose a method of inverse dynamic games for when the information structure of the game is open-loop. Our method involves solving a system of linear equations and is able to recover the true unknown parameters (up to an unknown scaling factor) whenever a testable rank condition holds. We illustrate our method in an example two-player game.
  • 关键词:KeywordsDynamic gamesGame theoryNash gamesDiscrete-time systemsoptimal control
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