Conditions for handling confounding variables in dynamic networks

Arne Dankers, Paul M.J.Van den Hof, Donatello Materassi, Harm H.M. Weerts

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

In 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.

Original languageEnglish (US)
Pages (from-to)3983-3988
Number of pages6
JournalIFAC-PapersOnLine
Volume50
Issue number1
DOIs
StatePublished - Jul 2017
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2017

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