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  • 标题:Quadratic Design of Robust Controllers for Uncertain T-S Models with D-Stability Contraints
  • 本地全文:下载
  • 作者:Abdelmadjid Cherifi ; Kevin Guelton ; Laurent Arcese
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2016
  • 卷号:49
  • 期号:5
  • 页码:19-24
  • DOI:10.1016/j.ifacol.2016.07.083
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper deals with the robust D-stabilization of uncertain Takagi-Sugeno (T-S) fuzzy systems. New Linear Matrix Linearity (LMI) conditions are proposed for the design of non Parallel-Distributed-Compensation (non-PDC) controllers with D-stability constraints, i.e forcing the poles of each linear polytopes of the closed-loop T-S plant with model uncertainties to belong in a prescribed LMI region. The LMI conditions are obtained through the use of a quadratic Lyapunov function candidate and relaxed by the introduction of free weighting matrices. To illustrate the effectiveness of the proposed approach, the D-stabilization of an academic example of a fourth-order uncertain T-S model is provided in simulation.
  • 关键词:KeywordsUncertain T-S Fuzzy modelsD-stabilityNon-PDC controller designQuadratic Lyapunov FunctionsLinear Matrix Inequality (LMI)Robust control
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