Robust-control-relevant coprime factor identification: A numerically reliable frequency domain approach

T.A.E. Oomen; O.H. Bosgra

doi:10.1109/ACC.2008.4586562

Robust-control-relevant coprime factor identification: A numerically reliable frequency domain approach

T.A.E. Oomen, O.H. Bosgra

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

12 Citations (Scopus)

2 Downloads (Pure)

Abstract

In approximate identification, the goal of the model should be taken into account when evaluating model quality. The purpose of this paper is the development of a system identification procedure, resulting in model sets that are suitable for subsequent robust control design. Incorporation of control relevance in the procedure results in a closed-loop frequency response-based multivariable system identification procedure. The model is represented as a coprime factorization, enabling the usage of stable model perturbations. The main result is the direct estimation of control-relevant coprime factors, exploiting knowledge of a stabilizing controller during the identification experiment. A numerically reliable iterative algorithm is devised, which is illustrated by means of experimental results.

Original language	English
Title of host publication	Proceedings of the 2008 American Control Conference (ACC2008), Seattle, Washington, USA, June 11-13, 2008
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	625-631
ISBN (Print)	978-1-4244-2078-0
DOIs	https://doi.org/10.1109/ACC.2008.4586562
Publication status	Published - 2008
Event	2008 American Control Conference (ACC 2008) - Westin Seattle Hotel, Seattle, WA, United States Duration: 11 Jun 2008 → 13 Jun 2008 http://acc2008.a2c2.org/

Conference

Conference	2008 American Control Conference (ACC 2008)
Abbreviated title	ACC 2008
Country	United States
City	Seattle, WA
Period	11/06/08 → 13/06/08
Internet address	http://acc2008.a2c2.org/

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10.1109/ACC.2008.4586562

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title = "Robust-control-relevant coprime factor identification: A numerically reliable frequency domain approach",

abstract = "In approximate identification, the goal of the model should be taken into account when evaluating model quality. The purpose of this paper is the development of a system identification procedure, resulting in model sets that are suitable for subsequent robust control design. Incorporation of control relevance in the procedure results in a closed-loop frequency response-based multivariable system identification procedure. The model is represented as a coprime factorization, enabling the usage of stable model perturbations. The main result is the direct estimation of control-relevant coprime factors, exploiting knowledge of a stabilizing controller during the identification experiment. A numerically reliable iterative algorithm is devised, which is illustrated by means of experimental results.",

author = "T.A.E. Oomen and O.H. Bosgra",

year = "2008",

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language = "English",

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pages = "625--631",

booktitle = "Proceedings of the 2008 American Control Conference (ACC2008), Seattle, Washington, USA, June 11-13, 2008",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2008 American Control Conference (ACC 2008), ACC 2008 ; Conference date: 11-06-2008 Through 13-06-2008",

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Oomen, TAE & Bosgra, OH 2008, Robust-control-relevant coprime factor identification: A numerically reliable frequency domain approach. in Proceedings of the 2008 American Control Conference (ACC2008), Seattle, Washington, USA, June 11-13, 2008. Institute of Electrical and Electronics Engineers, Piscataway, pp. 625-631, 2008 American Control Conference (ACC 2008), Seattle, WA, United States, 11/06/08. https://doi.org/10.1109/ACC.2008.4586562

Robust-control-relevant coprime factor identification: A numerically reliable frequency domain approach. / Oomen, T.A.E.; Bosgra, O.H.

Proceedings of the 2008 American Control Conference (ACC2008), Seattle, Washington, USA, June 11-13, 2008. Piscataway : Institute of Electrical and Electronics Engineers, 2008. p. 625-631.

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

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N2 - In approximate identification, the goal of the model should be taken into account when evaluating model quality. The purpose of this paper is the development of a system identification procedure, resulting in model sets that are suitable for subsequent robust control design. Incorporation of control relevance in the procedure results in a closed-loop frequency response-based multivariable system identification procedure. The model is represented as a coprime factorization, enabling the usage of stable model perturbations. The main result is the direct estimation of control-relevant coprime factors, exploiting knowledge of a stabilizing controller during the identification experiment. A numerically reliable iterative algorithm is devised, which is illustrated by means of experimental results.

AB - In approximate identification, the goal of the model should be taken into account when evaluating model quality. The purpose of this paper is the development of a system identification procedure, resulting in model sets that are suitable for subsequent robust control design. Incorporation of control relevance in the procedure results in a closed-loop frequency response-based multivariable system identification procedure. The model is represented as a coprime factorization, enabling the usage of stable model perturbations. The main result is the direct estimation of control-relevant coprime factors, exploiting knowledge of a stabilizing controller during the identification experiment. A numerically reliable iterative algorithm is devised, which is illustrated by means of experimental results.

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