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Adaptive experiment design for ARMAX systems?
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-9368-3079
2012 (English)In: 2012 IEEE 51st Annual Conference on Decision and Control (CDC), IEEE , 2012, 907-912 p.Conference paper, Published paper (Refereed)
Abstract [en]

A key problem in optimal input design is that the optimal input depends on some unknown system parameters that are to be identified. Adaptive design is one of the fundamental routes to handle this problem. This paper proposes an adaptive input design method for ARMAX systems based on the general stochastic framework outlined in the reference [10].

Place, publisher, year, edition, pages
IEEE , 2012. 907-912 p.
Series
IEEE Conference on Decision and Control. Proceedings, ISSN 0191-2216
Keyword [en]
Adaptive designs, Experiment design, Input design, Optimal input design, Stochastic framework
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:kth:diva-119194DOI: 10.1109/CDC.2012.6425920ISI: 000327200401050Scopus ID: 2-s2.0-84874280506ISBN: 978-1-4673-2066-5 (print)OAI: oai:DiVA.org:kth-119194DiVA: diva2:610095
Conference
51st IEEE Conference on Decision and Control, CDC 2012; Maui, HI; United States; 10 December 2012 through 13 December 2012
Note

QC 20130308

Available from: 2013-03-08 Created: 2013-03-08 Last updated: 2013-12-20Bibliographically approved

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Hjalmarsson, Håkan

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