Conditions for handling confounding variables in dynamic networks

A. Dankers, P.M.J. Van den Hof, D. Materassi, H.H.M. Weerts

Research output: Contribution to journalConference articlepeer-review

17 Citations (Scopus)
75 Downloads (Pure)


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
Pages (from-to)3983-3988
Number of pages6
Issue number1
Publication statusPublished - 1 Jul 2017
Event20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, France
Duration: 9 Jul 201714 Jul 2017
Conference number: 20


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