Experiment design for closed-loop performance diagnosis

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)


This paper uses prediction error identification to distinguish control-relevant system changes in closed-loop operation from variations in disturbance characteristics. The approach consists of a hypothesis test to verify whether an identified model of the true system lies in a set containing all models that exhibit adequate closed-loop performance. To increase the detection probability, i.e. the probability of choosing the correct hypothesis, experiment design is performed to devise an excitation signal for closed-loop identification of the system dynamics. For a given identification cost, this allows us to maximize the probability that an identified model of the system lies in the performance-related region of interest in accordance with the hypothesis test and, therefore, decrease the probability of opting for an erroneous hypothesis.
Original languageEnglish
Title of host publicationProceedings of the 16th IFAC Symposium on System Identification (SYSID 2012), 11-13 July 2012, Brussels, Belgium
EditorsJ. Schoukens, R. Bitmead
Publication statusPublished - 2012
Event16th IFAC Symposium on System Identification (SYSID 2012) - Brussels, Belgium
Duration: 11 Jul 201213 Jul 2012


Conference16th IFAC Symposium on System Identification (SYSID 2012)
Abbreviated titleSYSID 2012


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