On Model Error Modeling in Set Membership Identification
2000 (English)In: Proceedings of the 2000 IFAC Symposium on System Identification, 2000, 169-174 p.Conference paper (Refereed)
A recent perspective on model error modeling is applied to set membership identification techniques in order to highlight the separation between unmodeled dynamics and noise. Model validation issues are also easily addressed in the proposed framework. The computation of the minimum noise bound for which a nominal model is not falsified by i/o data, can be used as a rationale for selecting an appropriate model class. Uncertainty is evaluated in terms of the frequency response, so that it can be handled by H∞ control techniques.
Place, publisher, year, edition, pages
2000. 169-174 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2200
Identification for robust control, Set membership, Model error modeling, Unmodeled dynamics, Model validation
Engineering and Technology Control Engineering
IdentifiersURN: urn:nbn:se:liu:diva-91185ISBN: 978-0080435459OAI: oai:DiVA.org:liu-91185DiVA: diva2:617231
2000 IFAC Symposium on System Identification, Santa Barbara, CA, USA, 21-23 June 2000