Single module identifiability in linear dynamic networks

Harm Weerts; Paul M.J. Van den Hof; Arne Dankers

doi:10.1109/CDC.2018.8619365

Single module identifiability in linear dynamic networks

Harm Weerts, Paul M.J. Van den Hof, Arne Dankers

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

13 Citaten (Scopus)

68 Downloads (Pure)

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A recent development in data-driven modeling addresses the problem of identifying dynamic models of interconnected systems, represented as linear dynamic networks. For these networks the notion of network identifiability has been introduced recently, which reflects the property that different network models can be distinguished from each other. Network identifiability is extended to cover the uniqueness of a single module in the network model, and conditions for single module identifiability are derived and formulated in terms of path-based topological properties of the network models.

Originele taal-2	Engels
Titel	2018 IEEE Conference on Decision and Control, CDC 2018
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	4725-4730
Aantal pagina's	6
ISBN van elektronische versie	9781538613955
DOI's	https://doi.org/10.1109/CDC.2018.8619365
Status	Gepubliceerd - 18 jan. 2019
Evenement	57th IEEE Conference on Decision and Control, CDC 2018 - Miami, Verenigde Staten van Amerika Duur: 17 dec. 2018 → 19 dec. 2018 Congresnummer: 57

Publicatie series

Naam	Proceedings of the IEEE Conference on Decision and Control
Volume	2018-December
ISSN van geprinte versie	0743-1546
ISSN van elektronische versie	2576-2370

Congres

Congres	57th IEEE Conference on Decision and Control, CDC 2018
Verkorte titel	CDC 2018
Land/Regio	Verenigde Staten van Amerika
Stad	Miami
Periode	17/12/18 → 19/12/18

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10.1109/CDC.2018.8619365

Weerts&etal_CDC2018_finalFinale auteursversie , 213 KB

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Weerts, H., Van den Hof, P. M. J., & Dankers, A. (2019). Single module identifiability in linear dynamic networks. In 2018 IEEE Conference on Decision and Control, CDC 2018 (blz. 4725-4730). [8619365] (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC.2018.8619365

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title = "Single module identifiability in linear dynamic networks",

abstract = "A recent development in data-driven modeling addresses the problem of identifying dynamic models of interconnected systems, represented as linear dynamic networks. For these networks the notion of network identifiability has been introduced recently, which reflects the property that different network models can be distinguished from each other. Network identifiability is extended to cover the uniqueness of a single module in the network model, and conditions for single module identifiability are derived and formulated in terms of path-based topological properties of the network models.",

author = "Harm Weerts and {Van den Hof}, {Paul M.J.} and Arne Dankers",

year = "2019",

month = jan,

day = "18",

doi = "10.1109/CDC.2018.8619365",

language = "English",

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publisher = "Institute of Electrical and Electronics Engineers",

pages = "4725--4730",

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Weerts, H, Van den Hof, PMJ & Dankers, A 2019, Single module identifiability in linear dynamic networks. in 2018 IEEE Conference on Decision and Control, CDC 2018., 8619365, Proceedings of the IEEE Conference on Decision and Control, vol. 2018-December, Institute of Electrical and Electronics Engineers, Piscataway, blz. 4725-4730, 57th IEEE Conference on Decision and Control, CDC 2018, Miami, Florida, Verenigde Staten van Amerika, 17/12/18. https://doi.org/10.1109/CDC.2018.8619365

Single module identifiability in linear dynamic networks. / Weerts, Harm; Van den Hof, Paul M.J.; Dankers, Arne.

2018 IEEE Conference on Decision and Control, CDC 2018. Piscataway : Institute of Electrical and Electronics Engineers, 2019. blz. 4725-4730 8619365 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December).

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AB - A recent development in data-driven modeling addresses the problem of identifying dynamic models of interconnected systems, represented as linear dynamic networks. For these networks the notion of network identifiability has been introduced recently, which reflects the property that different network models can be distinguished from each other. Network identifiability is extended to cover the uniqueness of a single module in the network model, and conditions for single module identifiability are derived and formulated in terms of path-based topological properties of the network models.

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Single module identifiability in linear dynamic networks

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