Dynamic network identification using the direct prediction-error method

A.G. Dankers, P.M.J. Hof, Van den, P.S.C. Heuberger, X. Bombois

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

9 Citaten (Scopus)
1 Downloads (Pure)

Samenvatting

The problem of identifying dynamical models on the basis of measurement data is usually considered in a classical open-loop or closed-loop setting. In this paper this problem is generalized to linear dynamical systems that operate in a complex interconnection structure and the dynamical relationships between the measured variables signals need to be identified. It is shown that the classical Direct Method of closed-loop identification in the prediction-error context can be generalized to provide consistent model estimates, under specified experimental circumstances.
Originele taal-2Engels
TitelProceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 10-13 December 2012, Maui, Hawai
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's901-906
DOI's
StatusGepubliceerd - 2012
Evenement51st IEEE Conference on Decision and Control (CDC 2012) - Maui, Verenigde Staten van Amerika
Duur: 10 dec 201213 dec 2012
Congresnummer: 51

Congres

Congres51st IEEE Conference on Decision and Control (CDC 2012)
Verkorte titelCDC 2012
Land/RegioVerenigde Staten van Amerika
StadMaui
Periode10/12/1213/12/12
Ander51st IEEE Conference on Decision and Control

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