文章基本信息

标题：Choosing an Adequate Convex Structure for Controller and Observer Gains in Takagi-Sugeno Control Systems ⁎
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作者：Alberto Ortiz ; Thierry-Marie Guerra ; Víctor Estrada-Manzo 等
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