Frequency response function identification of LPV systems: a 2D-LRM approach with application to a medical X-ray system

A. van der Maas; R.J.R. van der Maas; R.J. Voorhoeve; T.A.E. Oomen

doi:10.1109/ACC.2016.7526077

Frequency response function identification of LPV systems: a 2D-LRM approach with application to a medical X-ray system

A. van der Maas
, R.J.R. van der Maas
, R.J. Voorhoeve
, T.A.E. Oomen

Control Systems Technology

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

4 Citaten (Scopus)

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LPV control has emerged as a systematic approach in the design of gain-scheduled controllers. This requires the identification of LPV models. The aim of this paper is to develope a flexible and accurate 2D-LRM approach, to enable fast and accurate non-parametric system identification of a frequency response function. The scope of this paper is on the identification of open-loop SISO LPV systems. Smoothness between several frozen LTI conditions within the LPV system is exploited to enable accurate pre-testing for parametric LPV modeling. The proposed approach achieves smoother estimations of the LPV behavior without an increase in estimation errors and with reduced variances. Traditional LPM and LRM approaches can be recovered as a special case of the proposed approach. The potential of the approach is shown by virtue of a simulation of a medical X-ray system.

Originele taal-2	Engels
Titel	American Control Conference (ACC), 6-8 July 2016, Boston, Massachusetts
Uitgeverij	American Automatic Control Council (AACC)
Pagina's	4598-4603
ISBN van geprinte versie	978-1-4673-8682-1
DOI's	https://doi.org/10.1109/ACC.2016.7526077
Status	Gepubliceerd - 2016
Evenement	2016 American Control Conference (ACC 2016), July 6-8, 2016, Boston, MA, USA - Boston Marriott Copley Place, Boston, MA, Verenigde Staten van Amerika Duur: 6 jul 2016 → 8 jul 2016 http://acc2016.a2c2.org/

Congres

Congres	2016 American Control Conference (ACC 2016), July 6-8, 2016, Boston, MA, USA
Verkorte titel	ACC 2016
Land/Regio	Verenigde Staten van Amerika
Stad	Boston, MA
Periode	6/07/16 → 8/07/16
Internet adres	http://acc2016.a2c2.org/

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10.1109/ACC.2016.7526077

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van der Maas, A., van der Maas, R. J. R., Voorhoeve, R. J., & Oomen, T. A. E. (2016). Frequency response function identification of LPV systems: a 2D-LRM approach with application to a medical X-ray system. In American Control Conference (ACC), 6-8 July 2016, Boston, Massachusetts (blz. 4598-4603). American Automatic Control Council (AACC). https://doi.org/10.1109/ACC.2016.7526077

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title = "Frequency response function identification of LPV systems: a 2D-LRM approach with application to a medical X-ray system",

abstract = "LPV control has emerged as a systematic approach in the design of gain-scheduled controllers. This requires the identification of LPV models. The aim of this paper is to develope a flexible and accurate 2D-LRM approach, to enable fast and accurate non-parametric system identification of a frequency response function. The scope of this paper is on the identification of open-loop SISO LPV systems. Smoothness between several frozen LTI conditions within the LPV system is exploited to enable accurate pre-testing for parametric LPV modeling. The proposed approach achieves smoother estimations of the LPV behavior without an increase in estimation errors and with reduced variances. Traditional LPM and LRM approaches can be recovered as a special case of the proposed approach. The potential of the approach is shown by virtue of a simulation of a medical X-ray system.",

author = "\{van der Maas\}, A. and \{van der Maas\}, R.J.R. and R.J. Voorhoeve and T.A.E. Oomen",

year = "2016",

doi = "10.1109/ACC.2016.7526077",

language = "English",

isbn = "978-1-4673-8682-1",

pages = "4598--4603",

booktitle = "American Control Conference (ACC), 6-8 July 2016, Boston, Massachusetts",

publisher = "American Automatic Control Council (AACC)",

note = "2016 American Control Conference (ACC 2016), July 6-8, 2016, Boston, MA, USA, ACC 2016 ; Conference date: 06-07-2016 Through 08-07-2016",

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}

van der Maas, A, van der Maas, RJR, Voorhoeve, RJ & Oomen, TAE 2016, Frequency response function identification of LPV systems: a 2D-LRM approach with application to a medical X-ray system. in American Control Conference (ACC), 6-8 July 2016, Boston, Massachusetts. American Automatic Control Council (AACC), blz. 4598-4603, 2016 American Control Conference (ACC 2016), July 6-8, 2016, Boston, MA, USA, Boston, MA, Verenigde Staten van Amerika, 6/07/16. https://doi.org/10.1109/ACC.2016.7526077

Frequency response function identification of LPV systems: a 2D-LRM approach with application to a medical X-ray system. / van der Maas, A.; van der Maas, R.J.R.; Voorhoeve, R.J. et al.
American Control Conference (ACC), 6-8 July 2016, Boston, Massachusetts. American Automatic Control Council (AACC), 2016. blz. 4598-4603.

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

TY - GEN

T1 - Frequency response function identification of LPV systems

T2 - 2016 American Control Conference (ACC 2016), July 6-8, 2016, Boston, MA, USA

AU - van der Maas, A.

AU - van der Maas, R.J.R.

AU - Voorhoeve, R.J.

AU - Oomen, T.A.E.

PY - 2016

Y1 - 2016

N2 - LPV control has emerged as a systematic approach in the design of gain-scheduled controllers. This requires the identification of LPV models. The aim of this paper is to develope a flexible and accurate 2D-LRM approach, to enable fast and accurate non-parametric system identification of a frequency response function. The scope of this paper is on the identification of open-loop SISO LPV systems. Smoothness between several frozen LTI conditions within the LPV system is exploited to enable accurate pre-testing for parametric LPV modeling. The proposed approach achieves smoother estimations of the LPV behavior without an increase in estimation errors and with reduced variances. Traditional LPM and LRM approaches can be recovered as a special case of the proposed approach. The potential of the approach is shown by virtue of a simulation of a medical X-ray system.

AB - LPV control has emerged as a systematic approach in the design of gain-scheduled controllers. This requires the identification of LPV models. The aim of this paper is to develope a flexible and accurate 2D-LRM approach, to enable fast and accurate non-parametric system identification of a frequency response function. The scope of this paper is on the identification of open-loop SISO LPV systems. Smoothness between several frozen LTI conditions within the LPV system is exploited to enable accurate pre-testing for parametric LPV modeling. The proposed approach achieves smoother estimations of the LPV behavior without an increase in estimation errors and with reduced variances. Traditional LPM and LRM approaches can be recovered as a special case of the proposed approach. The potential of the approach is shown by virtue of a simulation of a medical X-ray system.

U2 - 10.1109/ACC.2016.7526077

DO - 10.1109/ACC.2016.7526077

M3 - Conference contribution

SN - 978-1-4673-8682-1

SP - 4598

EP - 4603

BT - American Control Conference (ACC), 6-8 July 2016, Boston, Massachusetts

PB - American Automatic Control Council (AACC)

Y2 - 6 July 2016 through 8 July 2016

ER -

Frequency response function identification of LPV systems: a 2D-LRM approach with application to a medical X-ray system

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