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  • 标题:Team-optimal Incentive Stackelberg Strategies for Markov Jump Linear Stochastic Systems with H ∞ Constraint * * This work was supported by JSPS KAKENHI Grant Numbers 26330027 and 16K00029.
  • 本地全文:下载
  • 作者:Hiroaki Mukaidani ; Tadashi Shima ; Masaru Unno
  • 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:3780-3785
  • DOI:10.1016/j.ifacol.2017.08.481
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThe incentive Stackelberg game for a class of Markov jump linear stochastic systems with one leader and multiple non-cooperative followers subjected to theH∞constraint is investigated. An incentive structure is adopted that allows the leader’s team-optimal solution with theH∞constraint to be achieved. It is shown that the incentive strategy set can be obtained by solving the cross-coupled stochastic algebraic Riccati-type equations (CCSAREs). In order to demonstrate the effectiveness of the proposed scheme, a numerical example is solved.
  • 关键词:KeywordsIncentive StackelbergMarkov jump stochastic systemsH∞constraint
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