Identifiability of diffusively coupled linear networks with partial instrumentation

E.M.M. (Lizan) Kivits; Paul M.J. Van den Hof

doi:10.1016/j.ifacol.2023.10.1213

Identifiability of diffusively coupled linear networks with partial instrumentation

E.M.M. (Lizan) Kivits, Paul M.J. Van den Hof

Onderzoeksoutput: Bijdrage aan tijdschrift › Congresartikel › peer review

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Samenvatting

This paper presents identifiability conditions for identifying the complete dynamics of diffusively coupled linear networks. These conditions are derived by exploiting the uniqueness of the nonmonic polynomial network description, given the locations of the actuators and sensors. The analysis is performed under a more relaxed instrumentation setup than the typical restriction to a full set of sensors (full measurement) or a full set of actuators (full excitation). This leads to more general identifiability conditions, including more flexible instrumentation requirements.

Originele taal-2	Engels
Pagina's (van-tot)	2395-2400
Aantal pagina's	6
Tijdschrift	IFAC-PapersOnLine
Volume	56
Nummer van het tijdschrift	2
DOI's	https://doi.org/10.1016/j.ifacol.2023.10.1213
Status	Gepubliceerd - 1 jul. 2023
Evenement	22nd World Congress of the International Federation of Automatic Control (IFAC 2023 World Congress) - Yokohama, Japan Duur: 9 jul. 2023 → 14 jul. 2023 Congresnummer: 22 https://www.ifac2023.org/

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Publisher Copyright:
Copyright © 2023 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0/)

Financiering

This project has received funding from the European Research Council (ERC), Advanced Research Grant SYSDYNET, under the European Union's Horizon 2020 research and innovation programme (grant agreement No 694504).

Financiers	Financiernummer
European Research Council
European Union’s Horizon Europe research and innovation programme	694504

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abstract = "This paper presents identifiability conditions for identifying the complete dynamics of diffusively coupled linear networks. These conditions are derived by exploiting the uniqueness of the nonmonic polynomial network description, given the locations of the actuators and sensors. The analysis is performed under a more relaxed instrumentation setup than the typical restriction to a full set of sensors (full measurement) or a full set of actuators (full excitation). This leads to more general identifiability conditions, including more flexible instrumentation requirements.",

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AB - This paper presents identifiability conditions for identifying the complete dynamics of diffusively coupled linear networks. These conditions are derived by exploiting the uniqueness of the nonmonic polynomial network description, given the locations of the actuators and sensors. The analysis is performed under a more relaxed instrumentation setup than the typical restriction to a full set of sensors (full measurement) or a full set of actuators (full excitation). This leads to more general identifiability conditions, including more flexible instrumentation requirements.

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KW - diffusive couplings

KW - experiment design

KW - linear dynamic networks

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T2 - 22nd World Congress of the International Federation of Automatic Control (IFAC 2023 World Congress)

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Identifiability of diffusively coupled linear networks with partial instrumentation

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