A unified experiment design framework for detection and identification in closed-loop performance diagnosis
2012 (English)In: Decision and Control (CDC), 2012 IEEE 51st Annual Conference on, IEEE , 2012, 2152-2157 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
IEEE , 2012. 2152-2157 p.
, Proceedings of the IEEE Conference on Decision and Control, ISSN 0191-2216
Engineering and Technology
IdentifiersURN: urn:nbn:se:kth:diva-119174DOI: 10.1109/CDC.2012.6426717ScopusID: 2-s2.0-84874279930OAI: oai:DiVA.org:kth-119174DiVA: diva2:610401
51st IEEE Conference on Decision and Control, CDC 2012, 10 December 2012 through 13 December 2012, Maui, HI
FunderEU, FP7, Seventh Framework Programme, FP7/2007-2013
QC 201303112013-03-112013-03-082013-03-11Bibliographically approved