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  • 标题:Copositive Conditions for LMI-Based Controller and Observer Design
  • 本地全文:下载
  • 作者:Juan Carlos Arceo ; Jimmy Lauber
  • 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:7959-7964
  • DOI:10.1016/j.ifacol.2020.12.2195
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this report we illustrate that nonlinear control and observer design can be described as a Positivstellensatz problem, we consider a quadratic candidate function to stabilize nonlinear systems that have been modeled via the nonlinear sector methodology as an exact convex representation. New shape-independent conditions for satisfying positiveness in double sums are established based on the concept of copositivity. The conditions obtained are compared with previous approaches found in the literature via a numerical example.
  • 关键词:KeywordsCopositiveExact Convex RepresentationsLinear Matrix Inequalities (LMIs)Nonlinear SectorFuzzy SystemsRelaxed ConditionsTakagi-Sugeno
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