Frequency Domain Identification of Multirate Systems: A Lifted Local Polynomial Modeling Approach

Max van Haren; Lennart  Blanken; T.A.E. Oomen

doi:10.1109/CDC51059.2022.9992919

Frequency Domain Identification of Multirate Systems: A Lifted Local Polynomial Modeling Approach

Max van Haren, Lennart Blanken, T.A.E. Oomen

Team Jan-Willem van Wingerden

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

1 Citation (Scopus)

14 Downloads (Pure)

Abstract

Frequency-domain representations of multirate systems are essential for controller design and performance evaluation of multirate systems and sampled-data control. The aim of this paper is to develop a time-efficient closed-loop identification approach for multirate systems in the frequency-domain. The developed method utilizes local polynomial modeling for lifted representations of LPTV systems, which enables direct identification of closed-loop multirate systems in a single identification experiment. Unlike LTI identification techniques, the developed method does not suffer from bias due to ignored LPTV dynamics. The developed approach is demonstrated on a multirate example, resulting in accurate and fast identification in the frequency domain.

Original language	English
Title of host publication	Proceedings of the IEEE 61st Conference on Decision and Control (CDC 2022)
Publisher	IEEE
Pages	2795-2800
ISBN (Print)	978-1-6654-6761-2
DOIs	https://doi.org/10.1109/CDC51059.2022.9992919
Publication status	Published - 2022
Event	IEEE 61st Conference on Decision and Control (CDC 2022) - Cancún, Mexico Duration: 6 Dec 2022 → 9 Dec 2022

Conference

Conference	IEEE 61st Conference on Decision and Control (CDC 2022)
Country/Territory	Mexico
City	Cancún
Period	6/12/22 → 9/12/22

Bibliographical note

Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care
Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

Performance evaluation
Linear systems
Time-frequency analysis
Transfer functions
Estimation
Benchmark testing
Control systems

Access to Document

10.1109/CDC51059.2022.9992919

Frequency_Domain_Identification_of_Multirate_Systems_A_Lifted_Local_Polynomial_Modeling_ApproachFinal published version, 1.38 MB

Cite this

@inproceedings{2f4f4e82ffda4c42991ec355937a4b4b,

title = "Frequency Domain Identification of Multirate Systems: A Lifted Local Polynomial Modeling Approach",

abstract = "Frequency-domain representations of multirate systems are essential for controller design and performance evaluation of multirate systems and sampled-data control. The aim of this paper is to develop a time-efficient closed-loop identification approach for multirate systems in the frequency-domain. The developed method utilizes local polynomial modeling for lifted representations of LPTV systems, which enables direct identification of closed-loop multirate systems in a single identification experiment. Unlike LTI identification techniques, the developed method does not suffer from bias due to ignored LPTV dynamics. The developed approach is demonstrated on a multirate example, resulting in accurate and fast identification in the frequency domain.",

keywords = "Performance evaluation, Linear systems, Time-frequency analysis, Transfer functions, Estimation, Benchmark testing, Control systems",

author = "{van Haren}, Max and Lennart Blanken and T.A.E. Oomen",

note = "Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.; IEEE 61st Conference on Decision and Control (CDC 2022) ; Conference date: 06-12-2022 Through 09-12-2022",

year = "2022",

doi = "10.1109/CDC51059.2022.9992919",

language = "English",

isbn = "978-1-6654-6761-2",

pages = "2795--2800",

booktitle = "Proceedings of the IEEE 61st Conference on Decision and Control (CDC 2022)",

publisher = "IEEE",

address = "United States",

}

van Haren, M, Blanken, L & Oomen, TAE 2022, Frequency Domain Identification of Multirate Systems: A Lifted Local Polynomial Modeling Approach. in Proceedings of the IEEE 61st Conference on Decision and Control (CDC 2022). IEEE, pp. 2795-2800, IEEE 61st Conference on Decision and Control (CDC 2022), Cancún, Mexico, 6/12/22. https://doi.org/10.1109/CDC51059.2022.9992919

Frequency Domain Identification of Multirate Systems: A Lifted Local Polynomial Modeling Approach. / van Haren, Max; Blanken, Lennart ; Oomen, T.A.E.
Proceedings of the IEEE 61st Conference on Decision and Control (CDC 2022). IEEE, 2022. p. 2795-2800.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Frequency Domain Identification of Multirate Systems

T2 - IEEE 61st Conference on Decision and Control (CDC 2022)

AU - van Haren, Max

AU - Blanken, Lennart

AU - Oomen, T.A.E.

N1 - Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

PY - 2022

Y1 - 2022

N2 - Frequency-domain representations of multirate systems are essential for controller design and performance evaluation of multirate systems and sampled-data control. The aim of this paper is to develop a time-efficient closed-loop identification approach for multirate systems in the frequency-domain. The developed method utilizes local polynomial modeling for lifted representations of LPTV systems, which enables direct identification of closed-loop multirate systems in a single identification experiment. Unlike LTI identification techniques, the developed method does not suffer from bias due to ignored LPTV dynamics. The developed approach is demonstrated on a multirate example, resulting in accurate and fast identification in the frequency domain.

AB - Frequency-domain representations of multirate systems are essential for controller design and performance evaluation of multirate systems and sampled-data control. The aim of this paper is to develop a time-efficient closed-loop identification approach for multirate systems in the frequency-domain. The developed method utilizes local polynomial modeling for lifted representations of LPTV systems, which enables direct identification of closed-loop multirate systems in a single identification experiment. Unlike LTI identification techniques, the developed method does not suffer from bias due to ignored LPTV dynamics. The developed approach is demonstrated on a multirate example, resulting in accurate and fast identification in the frequency domain.

KW - Performance evaluation

KW - Linear systems

KW - Time-frequency analysis

KW - Transfer functions

KW - Estimation

KW - Benchmark testing

KW - Control systems

UR - http://www.scopus.com/inward/record.url?scp=85147043022&partnerID=8YFLogxK

U2 - 10.1109/CDC51059.2022.9992919

DO - 10.1109/CDC51059.2022.9992919

M3 - Conference contribution

SN - 978-1-6654-6761-2

SP - 2795

EP - 2800

BT - Proceedings of the IEEE 61st Conference on Decision and Control (CDC 2022)

PB - IEEE

Y2 - 6 December 2022 through 9 December 2022

ER -

Frequency Domain Identification of Multirate Systems: A Lifted Local Polynomial Modeling Approach

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this