Study of the minimum experiment length to identify linear dynamic systems: a variance based approach

J.F.M. Schoukens, S. Kolumban

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

In this paper the effect of short data lengths in system identification is studied. It addresses the question of the minimum required data length that is needed in order to apply the asymptotic results on the uncertainty analysis. this paper is focused on the IIR-case by analyzing initially a first order system. The conclusions are extended to higher order systems by normalizing all results on the time constant of this system, and by adding a model complexity factor.

Originele taal-2Engels
Titel2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), 11-15 May 2015, Pisa, Italy
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's963-968
Aantal pagina's6
ISBN van elektronische versie978-1-4799-6114-6
DOI's
StatusGepubliceerd - 6 jul 2015
Extern gepubliceerdJa
Evenement2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2015) - Palazzo dei Congressi, Pisa, Italië
Duur: 11 mei 201514 mei 2015

Congres

Congres2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2015)
Verkorte titelI2MTC 2015
Land/RegioItalië
StadPisa
Periode11/05/1514/05/15

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