A unified experiment design framework for detection and identification in closed-loop performance diagnosis

A. Mesbah; X. Bombois; M. Forgione; J.H.A. Ludlage; P.E. Moden; H. Hjalmarsson; P.M.J. Hof, Van den

doi:10.1109/CDC.2012.6426717

A unified experiment design framework for detection and identification in closed-loop performance diagnosis

A. Mesbah, X. Bombois, M. Forgione, J.H.A. Ludlage, P.E. Moden, H. Hjalmarsson, 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 least-costly experiment design framework for closed-loop performance diagnosis using prediction error identification. The performance diagnosis methodology consists in verifying whether an identified model of the true system lies in a performance-related region of interest. The experiment design framework minimizes the overall excitation cost incurred for detecting the cause of the performance drop and re-identifying the system dynamics when the degraded performance is due to control-relevant system changes. The optimal design of excitation signals is performed for a desired detection rate and a pre-specified level of accuracy required for the re-identified model.

Original language	English
Title of host publication	Proceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 10-13 December 2012, Maui, Hawai
Place of Publication	Piscataway
Publisher	Institute of Electrical and Electronics Engineers
Pages	2152-2157
DOIs	https://doi.org/10.1109/CDC.2012.6426717
Publication status	Published - 2012
Event	51st IEEE Conference on Decision and Control, CDC 2012 - Maui, United States Duration: 10 Dec 2012 → 13 Dec 2012 Conference number: 51

Conference

Conference	51st IEEE Conference on Decision and Control, CDC 2012
Abbreviated title	CDC 2012
Country/Territory	United States
City	Maui
Period	10/12/12 → 13/12/12

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10.1109/CDC.2012.6426717

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Mesbah, A., Bombois, X., Forgione, M., Ludlage, J. H. A., Moden, P. E., Hjalmarsson, H., & Hof, Van den, P. M. J. (2012). A unified experiment design framework for detection and identification in closed-loop performance diagnosis. In Proceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 10-13 December 2012, Maui, Hawai (pp. 2152-2157). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC.2012.6426717

@inproceedings{d61ec978da314ae4bb4abb654117ed10,

title = "A unified experiment design framework for detection and identification in closed-loop performance diagnosis",

abstract = "This paper presents a least-costly experiment design framework for closed-loop performance diagnosis using prediction error identification. The performance diagnosis methodology consists in verifying whether an identified model of the true system lies in a performance-related region of interest. The experiment design framework minimizes the overall excitation cost incurred for detecting the cause of the performance drop and re-identifying the system dynamics when the degraded performance is due to control-relevant system changes. The optimal design of excitation signals is performed for a desired detection rate and a pre-specified level of accuracy required for the re-identified model.",

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

year = "2012",

doi = "10.1109/CDC.2012.6426717",

language = "English",

pages = "2152--2157",

booktitle = "Proceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 10-13 December 2012, Maui, Hawai",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "51st IEEE Conference on Decision and Control, CDC 2012, CDC 2012 ; Conference date: 10-12-2012 Through 13-12-2012",

}

Mesbah, A, Bombois, X, Forgione, M, Ludlage, JHA, Moden, PE, Hjalmarsson, H & Hof, Van den, PMJ 2012, A unified experiment design framework for detection and identification in closed-loop performance diagnosis. in Proceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 10-13 December 2012, Maui, Hawai. Institute of Electrical and Electronics Engineers, Piscataway, pp. 2152-2157, 51st IEEE Conference on Decision and Control, CDC 2012, Maui, Hawaii, United States, 10/12/12. https://doi.org/10.1109/CDC.2012.6426717

A unified experiment design framework for detection and identification in closed-loop performance diagnosis. / Mesbah, A.; Bombois, X.; Forgione, M. et al.
Proceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 10-13 December 2012, Maui, Hawai. Piscataway: Institute of Electrical and Electronics Engineers, 2012. p. 2152-2157.

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

TY - GEN

T1 - A unified experiment design framework for detection and identification in closed-loop performance diagnosis

AU - Mesbah, A.

AU - Bombois, X.

AU - Forgione, M.

AU - Ludlage, J.H.A.

AU - Moden, P.E.

AU - Hjalmarsson, H.

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

N1 - Conference code: 51

PY - 2012

Y1 - 2012

N2 - This paper presents a least-costly experiment design framework for closed-loop performance diagnosis using prediction error identification. The performance diagnosis methodology consists in verifying whether an identified model of the true system lies in a performance-related region of interest. The experiment design framework minimizes the overall excitation cost incurred for detecting the cause of the performance drop and re-identifying the system dynamics when the degraded performance is due to control-relevant system changes. The optimal design of excitation signals is performed for a desired detection rate and a pre-specified level of accuracy required for the re-identified model.

AB - This paper presents a least-costly experiment design framework for closed-loop performance diagnosis using prediction error identification. The performance diagnosis methodology consists in verifying whether an identified model of the true system lies in a performance-related region of interest. The experiment design framework minimizes the overall excitation cost incurred for detecting the cause of the performance drop and re-identifying the system dynamics when the degraded performance is due to control-relevant system changes. The optimal design of excitation signals is performed for a desired detection rate and a pre-specified level of accuracy required for the re-identified model.

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DO - 10.1109/CDC.2012.6426717

M3 - Conference contribution

SP - 2152

EP - 2157

BT - Proceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 10-13 December 2012, Maui, Hawai

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 51st IEEE Conference on Decision and Control, CDC 2012

Y2 - 10 December 2012 through 13 December 2012

ER -

Mesbah A, Bombois X, Forgione M, Ludlage JHA, Moden PE, Hjalmarsson H et al. A unified experiment design framework for detection and identification in closed-loop performance diagnosis. In Proceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 10-13 December 2012, Maui, Hawai. Piscataway: Institute of Electrical and Electronics Engineers. 2012. p. 2152-2157 doi: 10.1109/CDC.2012.6426717

A unified experiment design framework for detection and identification in closed-loop performance diagnosis

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