Accurate frequency response function identification of LPV systems : a 2D local parametric modeling approach

R.J.R. Maas, van der; Annemiek van der Maas; T.A.E. Oomen

doi:10.1109/CDC.2015.7402417

Accurate frequency response function identification of LPV systems : a 2D local parametric modeling approach

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

Control Systems Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

4 Citations (Scopus)

6 Downloads (Pure)

Abstract

In the last decades, LPV control has emerged as a systematic approach to design gain-scheduled controllers. This development has led to the emergence of LPV identification techniques. The aim of this paper is to present a new approach that enables fast and accurate identification of nonparametric frequency response functions of LPV systems. Main applications of the proposed approach include pre-testing for global LPV modeling and the use of nonparametric models as a basis for local LPV modeling. The proposed method extents recent developments of local parametric modeling techniques to a 2D situation. Pre-existing LPM/LRM methods are recovered as a special case. The advantages of the proposed approach are illustrated on a simulation model.

Original language	English
Title of host publication	54th IEEE Conference on Decision and Control (CDC 2015), 15-18 December 2015, Osaka, Japan
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	1465-1470
ISBN (Electronic)	978-1-4799-7885-4
ISBN (Print)	978-1-4799-7884-7
DOIs	https://doi.org/10.1109/CDC.2015.7402417
Publication status	Published - 2015
Event	54th IEEE Conference on Decision and Control (CDC 2015) - "Osaka International Convention Center", Osaka, Japan Duration: 15 Dec 2015 → 18 Dec 2015 Conference number: 54 http://www.cdc2015.ctrl.titech.ac.jp/

Conference

Conference	54th IEEE Conference on Decision and Control (CDC 2015)
Abbreviated title	CDC 2015
Country/Territory	Japan
City	Osaka
Period	15/12/15 → 18/12/15
Internet address	http://www.cdc2015.ctrl.titech.ac.jp/

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10.1109/CDC.2015.7402417

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Maas, van der, R. J. R., van der Maas, A., & Oomen, T. A. E. (2015). Accurate frequency response function identification of LPV systems : a 2D local parametric modeling approach. In 54th IEEE Conference on Decision and Control (CDC 2015), 15-18 December 2015, Osaka, Japan (pp. 1465-1470). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC.2015.7402417

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title = "Accurate frequency response function identification of LPV systems : a 2D local parametric modeling approach",

abstract = "In the last decades, LPV control has emerged as a systematic approach to design gain-scheduled controllers. This development has led to the emergence of LPV identification techniques. The aim of this paper is to present a new approach that enables fast and accurate identification of nonparametric frequency response functions of LPV systems. Main applications of the proposed approach include pre-testing for global LPV modeling and the use of nonparametric models as a basis for local LPV modeling. The proposed method extents recent developments of local parametric modeling techniques to a 2D situation. Pre-existing LPM/LRM methods are recovered as a special case. The advantages of the proposed approach are illustrated on a simulation model.",

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

year = "2015",

doi = "10.1109/CDC.2015.7402417",

language = "English",

isbn = "978-1-4799-7884-7",

pages = "1465--1470",

booktitle = "54th IEEE Conference on Decision and Control (CDC 2015), 15-18 December 2015, Osaka, Japan",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "54th IEEE Conference on Decision and Control (CDC 2015), CDC 2015 ; Conference date: 15-12-2015 Through 18-12-2015",

url = "http://www.cdc2015.ctrl.titech.ac.jp/",

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Maas, van der, RJR, van der Maas, A & Oomen, TAE 2015, Accurate frequency response function identification of LPV systems : a 2D local parametric modeling approach. in 54th IEEE Conference on Decision and Control (CDC 2015), 15-18 December 2015, Osaka, Japan. Institute of Electrical and Electronics Engineers, Piscataway, pp. 1465-1470, 54th IEEE Conference on Decision and Control (CDC 2015), Osaka, Japan, 15/12/15. https://doi.org/10.1109/CDC.2015.7402417

Accurate frequency response function identification of LPV systems : a 2D local parametric modeling approach. / Maas, van der, R.J.R.; van der Maas, Annemiek; Oomen, T.A.E.
54th IEEE Conference on Decision and Control (CDC 2015), 15-18 December 2015, Osaka, Japan. Piscataway: Institute of Electrical and Electronics Engineers, 2015. p. 1465-1470.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Accurate frequency response function identification of LPV systems : a 2D local parametric modeling approach

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

AU - van der Maas, Annemiek

AU - Oomen, T.A.E.

N1 - Conference code: 54

PY - 2015

Y1 - 2015

N2 - In the last decades, LPV control has emerged as a systematic approach to design gain-scheduled controllers. This development has led to the emergence of LPV identification techniques. The aim of this paper is to present a new approach that enables fast and accurate identification of nonparametric frequency response functions of LPV systems. Main applications of the proposed approach include pre-testing for global LPV modeling and the use of nonparametric models as a basis for local LPV modeling. The proposed method extents recent developments of local parametric modeling techniques to a 2D situation. Pre-existing LPM/LRM methods are recovered as a special case. The advantages of the proposed approach are illustrated on a simulation model.

AB - In the last decades, LPV control has emerged as a systematic approach to design gain-scheduled controllers. This development has led to the emergence of LPV identification techniques. The aim of this paper is to present a new approach that enables fast and accurate identification of nonparametric frequency response functions of LPV systems. Main applications of the proposed approach include pre-testing for global LPV modeling and the use of nonparametric models as a basis for local LPV modeling. The proposed method extents recent developments of local parametric modeling techniques to a 2D situation. Pre-existing LPM/LRM methods are recovered as a special case. The advantages of the proposed approach are illustrated on a simulation model.

U2 - 10.1109/CDC.2015.7402417

DO - 10.1109/CDC.2015.7402417

M3 - Conference contribution

SN - 978-1-4799-7884-7

SP - 1465

EP - 1470

BT - 54th IEEE Conference on Decision and Control (CDC 2015), 15-18 December 2015, Osaka, Japan

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 54th IEEE Conference on Decision and Control (CDC 2015)

Y2 - 15 December 2015 through 18 December 2015

ER -

Accurate frequency response function identification of LPV systems : a 2D local parametric modeling approach

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