Predictor input selection for two stage identification in dynamic networks

Arne Dankers, Paul M.J. Van Den Hof, Xavier Bombois, Peter S.C. Heuberger

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)

Abstract

Recently, the Two-Stage method has been proposed as a tool to obtain consistent estimates of modules embedded in dynamic networks [1], [2]. However, for this method the variables that are included in the predictor model are currently not considered as a user choice. In this paper it is shown that there is considerable freedom as to which variables can be included in the predictor model as inputs, and still obtain consistent estimates of the module of interest. Conditions that the choice of predictor inputs must satisfy are presented. The conditions could be used to find the smallest number of predictor inputs for instance. Algorithms are presented for checking the conditions and obtaining the estimates.

Original languageEnglish
Title of host publication2013 European Control Conference, ECC 2013
PublisherInstitute of Electrical and Electronics Engineers
Pages1422-1427
Number of pages6
ISBN (Print)9783033039629
DOIs
Publication statusPublished - 1 Dec 2013
Event12th European Control Conference (ECC 2013) - Zürich, Switzerland
Duration: 17 Jul 201319 Jul 2013
Conference number: 12
http://www.ecc2013.ethz.ch/

Conference

Conference12th European Control Conference (ECC 2013)
Abbreviated titleECC 2013
CountrySwitzerland
CityZürich
Period17/07/1319/07/13
OtherEuropean Control Conference 2013
Internet address

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