Conditions for handling confounding variables in dynamic networks

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

doi:10.1016/j.ifacol.2017.08.771

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 journal › Article › peer-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 language	English (US)
Pages (from-to)	3983-3988
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	50
Issue number	1
DOIs	https://doi.org/10.1016/j.ifacol.2017.08.771
State	Published - Jul 2017
Externally published	Yes

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© 2017

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Conditions for handling confounding variables in dynamic networks

Abstract

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