Conditions for handling confounding variables in dynamic networks

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

Onderzoeksoutput: Bijdrage aan tijdschriftCongresartikelAcademicpeer review

10 Citaten (Scopus)
36 Downloads (Pure)

Samenvatting

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.

Originele taal-2Engels
Pagina's (van-tot)3983-3988
Aantal pagina's6
TijdschriftIFAC-PapersOnLine
Volume50
Nummer van het tijdschrift1
DOI's
StatusGepubliceerd - 1 jul 2017
Evenement20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, Frankrijk
Duur: 9 jul 201714 jul 2017
Congresnummer: 20
https://www.ifac2017.org/

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