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  • 标题:Conditions for handling confounding variables in dynamic networks
  • 本地全文:下载
  • 作者:Arne Dankers ; Paul M.J. Van den Hof ; Donatello Materassi
  • 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:3983-3988
  • DOI:10.1016/j.ifacol.2017.08.771
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractIn this paper we focus on consistently identifying a transfer function (module) embedded in a dynamic network. When identifying a module embedded in a dynamic network, a critical choice is which variables to include as predictor inputs. In the system identification literature sufficient conditions have been derived. One condition is that there should be no confounding variables. We show that this condition can be relaxed.
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