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  • 标题:Determining dissipation inequalities from input-output samples * * The authors thank the German Research Foundation (DFG) for financial support of the project within the Cluster of Excellence in Simulation Technology (EXC 310/2) at the University of Stuttgart.
  • 本地全文:下载
  • 作者:Anne Romer ; Jan Maximilian Montenbruck ; Frank Allgöwer
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:7789-7794
  • DOI:10.1016/j.ifacol.2017.08.1053
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractKnowledge of a dissipation inequality can disclose valuable system properties relevant for controller design. Therefore, we consider the problem of determining a dissipation inequality for an input-output system. In practice, yet, the core issue is that one would only know finitely many input-output samples while the input-output relationship would be undisclosed analytically. For such scenarios, we provide an approach for computing dissipation inequalities based upon knowledge of large amounts of input-output samples, as they arise in applications nowadays gathered under the term “big data”. Our approach will, under certain conditions, provide dissipation inequalities which remain satisfied for all input-output pairs that the system can produce, though only having been derived from finitely many of them.
  • 关键词:Keywordssystem analysisinput-output methodssampled datadissipation inequalities
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