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  • 标题:Robust Positively Invariant Polyhedral Sets and Constrained Control using Fuzzy T-S Models: a Bilinear Optimization Design Strategy ⁎
  • 本地全文:下载
  • 作者:Carlos E.T. Dórea ; Eugenio B. Castelan ; Jackson G. Ernesto
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:8013-8018
  • DOI:10.1016/j.ifacol.2020.12.2230
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe propose a numerical method to compute stabilizing state feedback control laws and associated polyhedral invariant sets for nonlinear systems represented by Fuzzy Takagi-Sugeno (T-S) models, subject to state and control constraints, and persistent disturbances. Sufficient conditions are derived under which a given polyhedral set is positively invariant under a Parallel Distributed Compensation (PDC), in the form of bilinear algebraic inequalities. Then, a bilinear programming (BP) problem is proposed to compute the state feedback gains and an associated positively invariant polyhedron, with predefined complexity, which solve a constrained regulation problem for the Fuzzy T-S system. A numerical example illustrates the effectiveness of the method.
  • 关键词:KeywordsFuzzy T-S modelsParallel Distributed CompensationConstrained ControlInvariant SetsBilinear Programming
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