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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

5 Citaten (Scopus)

Samenvatting

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.
Originele taal-2Engels
TitelProceedings of the 51st IEEE Conference on Decision and Control (CDC 2012), 10-13 December 2012, Maui, Hawai
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's2152-2157
DOI's
StatusGepubliceerd - 2012
Evenement51st IEEE Conference on Decision and Control (CDC 2012) - Maui, Verenigde Staten van Amerika
Duur: 10 dec 201213 dec 2012
Congresnummer: 51

Congres

Congres51st IEEE Conference on Decision and Control (CDC 2012)
Verkorte titelCDC 2012
Land/RegioVerenigde Staten van Amerika
StadMaui
Periode10/12/1213/12/12
Ander51st IEEE Conference on Decision and Control

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