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Robust identification of a lightly damped flexible beam using set-membership and model error modeling techniques

Research output: Contribution in Book/Report/ProceedingsPaper

Published

Associated organisational unit

Publication date2006
Host publicationComputer Aided Control System Design, 2006 IEEE International Conference on Control Applications, 2006 IEEE International Symposium on Intelligent Control, 2006 IEEE
Place of publicationNew York
PublisherIEEE
Pages1881-1885
Number of pages5
ISBN (Print)978-0-7803-9795-8
Original languageEnglish

Conference

ConferenceIEEE International Conference on Control Applications
CountryGermany
CityMunich
Period4/10/066/10/06

Publication series

NameIEEE International Conference on Control Applications
PublisherIEEE
ISSN (Print)1085-1992

Conference

ConferenceIEEE International Conference on Control Applications
CountryGermany
CityMunich
Period4/10/066/10/06

Abstract

The aim of this paper is robust identification of a lightly damped flexible beam model with parametric and non-parametric uncertainties. Our approach is based on worst case estimation theory where uncertainties are assumed to be unknown but bounded. We examine different outbounding algorithms (parallelotopic and ellipsoidal) for estimation of the feasible parameter set that has been delivered by the set membership identification algorithm. In order to proper handling with the high magnitude non-parametric uncertainties the proposed methods are compared and it is shown that the combination of set membership approach with model error modeling techniques will result in superior results.