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  • 标题:Choosing an Adequate Convex Structure for Controller and Observer Gains in Takagi-Sugeno Control Systems ⁎
  • 本地全文:下载
  • 作者:Alberto Ortiz ; Thierry-Marie Guerra ; Víctor Estrada-Manzo
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:4
  • 页码:206-211
  • DOI:10.1016/j.ifacol.2021.10.035
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis work presents a methodology to choose the convex structure for nonlinear gains in approaches based on Takagi-Sugeno models. The proposal faces the problem of numerical complexity in LMI-based approaches within this area; it gives a finer convex structure for controller and observer matrices depending on two criteria: less number of LMI constraints or more decision variables while keeping the same number of LMIs in traditional approaches. The advantages of the proposal are illustrated via numerical examples.
  • 关键词:KeywordsLinear matrix inequalityTakagi-Sugeno modelconvex structuresnumerical complexitycontrol systems
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