Closed-loop performance diagnosis using prediction error identification

A. Mesbah; X. Bombois; J.H.A. Ludlage; P.M.J. Hof, Van den

doi:10.1109/CDC.2011.6161058

Closed-loop performance diagnosis using prediction error identification

A. Mesbah, X. Bombois, J.H.A. Ludlage, P.M.J. Hof, Van den

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

5 Citations (Scopus)

Abstract

This paper presents a methodology to detect the origin of closed-loop performance degradation of model-based control systems. The approach exploits the statistical hypothesis testing framework. The decision rule consists of examining if an identified model of the true system lies in a set containing all models that fulfill the closed-loop performance requirements. This allows us to determine whether performance degradation arises from changes in system dynamics or from variations in disturbance characteristics. The probability of making an erroneous decision is estimated a posteriori using the known distribution of the identified model with respect to the unknown true system.

Original language	English
Title of host publication	Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), December 12-15, 2011, Orlando, Florida
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	2969-2974
Number of pages	6
ISBN (Electronic)	978-1-61284-801-3
ISBN (Print)	978-1-61284-800-6
DOIs	https://doi.org/10.1109/CDC.2011.6161058
Publication status	Published - 2011
Event	50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011) - Hilton Orlando Bonnet Creek, Orlando, United States Duration: 12 Dec 2011 → 15 Dec 2011 Conference number: 50 http://www.ieeecss.org/CAB/conferences/cdcecc2011/

Conference

Conference	50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011)
Abbreviated title	CDC-ECC 2011
Country/Territory	United States
City	Orlando
Period	12/12/11 → 15/12/11
Other	50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Internet address	http://www.ieeecss.org/CAB/conferences/cdcecc2011/

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10.1109/CDC.2011.6161058

Cite this

Mesbah, A., Bombois, X., Ludlage, J. H. A., & Hof, Van den, P. M. J. (2011). Closed-loop performance diagnosis using prediction error identification. In Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), December 12-15, 2011, Orlando, Florida (pp. 2969-2974). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC.2011.6161058

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abstract = "This paper presents a methodology to detect the origin of closed-loop performance degradation of model-based control systems. The approach exploits the statistical hypothesis testing framework. The decision rule consists of examining if an identified model of the true system lies in a set containing all models that fulfill the closed-loop performance requirements. This allows us to determine whether performance degradation arises from changes in system dynamics or from variations in disturbance characteristics. The probability of making an erroneous decision is estimated a posteriori using the known distribution of the identified model with respect to the unknown true system.",

author = "A. Mesbah and X. Bombois and J.H.A. Ludlage and {Hof, Van den}, P.M.J.",

year = "2011",

doi = "10.1109/CDC.2011.6161058",

language = "English",

isbn = "978-1-61284-800-6",

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booktitle = "Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), December 12-15, 2011, Orlando, Florida",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011), CDC-ECC 2011 ; Conference date: 12-12-2011 Through 15-12-2011",

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Mesbah, A, Bombois, X, Ludlage, JHA & Hof, Van den, PMJ 2011, Closed-loop performance diagnosis using prediction error identification. in Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), December 12-15, 2011, Orlando, Florida. Institute of Electrical and Electronics Engineers, Piscataway, pp. 2969-2974, 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011), Orlando, Florida, United States, 12/12/11. https://doi.org/10.1109/CDC.2011.6161058

Closed-loop performance diagnosis using prediction error identification. / Mesbah, A.; Bombois, X.; Ludlage, J.H.A. et al.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), December 12-15, 2011, Orlando, Florida. Piscataway: Institute of Electrical and Electronics Engineers, 2011. p. 2969-2974.

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

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T1 - Closed-loop performance diagnosis using prediction error identification

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AU - Bombois, X.

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AU - Hof, Van den, P.M.J.

N1 - Conference code: 50

PY - 2011

Y1 - 2011

N2 - This paper presents a methodology to detect the origin of closed-loop performance degradation of model-based control systems. The approach exploits the statistical hypothesis testing framework. The decision rule consists of examining if an identified model of the true system lies in a set containing all models that fulfill the closed-loop performance requirements. This allows us to determine whether performance degradation arises from changes in system dynamics or from variations in disturbance characteristics. The probability of making an erroneous decision is estimated a posteriori using the known distribution of the identified model with respect to the unknown true system.

AB - This paper presents a methodology to detect the origin of closed-loop performance degradation of model-based control systems. The approach exploits the statistical hypothesis testing framework. The decision rule consists of examining if an identified model of the true system lies in a set containing all models that fulfill the closed-loop performance requirements. This allows us to determine whether performance degradation arises from changes in system dynamics or from variations in disturbance characteristics. The probability of making an erroneous decision is estimated a posteriori using the known distribution of the identified model with respect to the unknown true system.

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DO - 10.1109/CDC.2011.6161058

M3 - Conference contribution

SN - 978-1-61284-800-6

SP - 2969

EP - 2974

BT - Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), December 12-15, 2011, Orlando, Florida

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC 2011)

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ER -

Mesbah A, Bombois X, Ludlage JHA , Hof, Van den PMJ. Closed-loop performance diagnosis using prediction error identification. In Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), December 12-15, 2011, Orlando, Florida. Piscataway: Institute of Electrical and Electronics Engineers. 2011. p. 2969-2974 doi: 10.1109/CDC.2011.6161058

Closed-loop performance diagnosis using prediction error identification

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