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  • 标题:Detecting Nonlinear Modules in a Dynamic Network: A Step-by-Step Procedure ⁎
  • 本地全文:下载
  • 作者:M. Schoukens ; P.M.J. Van den Hof
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2018
  • 卷号:51
  • 期号:15
  • 页码:593-597
  • DOI:10.1016/j.ifacol.2018.09.224
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractAdopting a dynamic network viewpoint allows one to analyze and identify subsystems of a complex interconnected system. When studying a network of dynamic systems, it is important to know if significant nonlinear behavior is present in a dynamic network under study and where the nonlinearity is located in the network.This work extends the Best Linear Approximation framework from the closed-loop to the networked setting. The framework is illustrated using a practical step-by-step estimation and analysis procedure. It is shown how nonlinear behavior can be quantified and located in a dynamic network using this framework.
  • 关键词:KeywordsNonlinear SystemsDynamic NetworksSystem IdentificationLinear Approximation
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