文章基本信息

标题：Gain-Scheduled Nash Games with H ∞ Constraint for Stochastic LPV Systems * * This work was supported by JSPS KAKENHI Grant Numbers 26330027 and 16K00029.
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作者：Hiroaki Mukaidani ; Masaru Unno ; Hua Xu 等
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：1478-1483
DOI：10.1016/j.ifacol.2017.08.294
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, gain-scheduled Nash games withH∞constraint for stochastic linear parameter varying (LPV) systems is investigated. First, as preliminaries, the modified stochastic bounded real lemma and linear quadratic control (LQC) for the LPV systems are studied. The results are then applied to solve the gain-scheduled Nash games withH∞constraint for stochastic LPV systems. It is shown that the Nash equilibrium withH∞constraint can be obtained by solving the cross-coupled matrix inequalities (CCMIs). A numerical algorithm for solving the CCMIs is developed, and it is applied to solve a numerical example.
关键词：KeywordsStochastic systemsLPV systemsNash gamesH∞constraint