Dynamic network identification using the direct prediction-error method

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

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

9 Citations (Scopus)
1 Downloads (Pure)

Abstract

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.
Original languageEnglish
Title of host publicationProceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 10-13 December 2012, Maui, Hawai
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages901-906
DOIs
Publication statusPublished - 2012
Event51st IEEE Conference on Decision and Control (CDC 2012) - Maui, United States
Duration: 10 Dec 201213 Dec 2012
Conference number: 51

Conference

Conference51st IEEE Conference on Decision and Control (CDC 2012)
Abbreviated titleCDC 2012
CountryUnited States
CityMaui
Period10/12/1213/12/12

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    Dankers, A. G., Hof, Van den, P. M. J., Heuberger, P. S. C., & Bombois, X. (2012). Dynamic network identification using the direct prediction-error method. In Proceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 10-13 December 2012, Maui, Hawai (pp. 901-906). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC.2012.6426780