Identification in dynamic networks with known interconnection topology

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

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

8 Citations (Scopus)
1 Downloads (Pure)


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 dynamical systems that operate in a complex interconnection structure and a particular transfer function in the network needs to be identified. It is shown that classical methods of closed-loop identification in the prediction error context, can be generalized to provide consistent model estimates, under specified experimental circumstances. This applies to indirect methods that rely on external excitation signals like two-stage and IV methods, as well as to the direct method that relies on consistent noise models. Graph theoretical tools are presented to verify the topological conditions under which the several methods lead to consistent estimates of the network transfer functions.
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
Publication statusPublished - 2012
Event51st IEEE Conference on Decision and Control, CDC 2012 - Maui, United States
Duration: 10 Dec 201213 Dec 2012
Conference number: 51


Conference51st IEEE Conference on Decision and Control, CDC 2012
Abbreviated titleCDC 2012
Country/TerritoryUnited States


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