Conditions for handling confounding variables in dynamic networks

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

doi:10.1016/j.ifacol.2017.08.771

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 journal › Conference article › peer-review

17 Citations (Scopus)

75 Downloads (Pure)

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
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
Publication status	Published - 1 Jul 2017
Event	20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, France Duration: 9 Jul 2017 → 14 Jul 2017 Conference number: 20 https://www.ifac2017.org/

Access to Document

10.1016/j.ifacol.2017.08.771

author versionFinal author version , 102 KB

Cite this

@article{8588e980f01046bfb460f60d7b751feb,

title = "Conditions for handling confounding variables in dynamic networks",

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.",

author = "A. Dankers and {Van den Hof}, P.M.J. and D. Materassi and H.H.M. Weerts",

year = "2017",

month = jul,

day = "1",

doi = "10.1016/j.ifacol.2017.08.771",

language = "English",

volume = "50",

pages = "3983--3988",

journal = "IFAC-PapersOnLine",

issn = "2405-8963",

publisher = "Elsevier",

number = "1",

note = "20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress), IFAC 2017 ; Conference date: 09-07-2017 Through 14-07-2017",

url = "https://www.ifac2017.org/",

}

TY - JOUR

T1 - Conditions for handling confounding variables in dynamic networks

AU - Dankers, A.

AU - Van den Hof, P.M.J.

AU - Materassi, D.

AU - Weerts, H.H.M.

N1 - Conference code: 20

PY - 2017/7/1

Y1 - 2017/7/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85031781444&partnerID=8YFLogxK

U2 - 10.1016/j.ifacol.2017.08.771

DO - 10.1016/j.ifacol.2017.08.771

M3 - Conference article

AN - SCOPUS:85031781444

SN - 2405-8963

VL - 50

SP - 3983

EP - 3988

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 1

T2 - 20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress)

Y2 - 9 July 2017 through 14 July 2017

ER -

Conditions for handling confounding variables in dynamic networks

Abstract

Access to Document

Other files and links

Fingerprint

Cite this