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Data-driven H-infinity-norm estimation via expert advice
KTH, Skolan för elektro- och systemteknik (EES), Reglerteknik.ORCID-id: 0000-0003-0355-2663
Vise andre og tillknytning
2017 (engelsk)Inngår i: 2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), Institute of Electrical and Electronics Engineers (IEEE), 2017, s. 1560-1565Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

H-infinity-norm estimation is usually an important aspect of robust control design. The aim of this paper is to develop a data-driven estimation method exploiting iterative input design, without requiring parametric modeling. More specifically, the estimation problem is formulated as a sequential game, whose solution is derived within the prediction with expert advice framework. The proposed method is shown to be competitive with the state-of-the-art techniques.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE), 2017. s. 1560-1565
Serie
IEEE Conference on Decision and Control, ISSN 0743-1546
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-223867DOI: 10.1109/CDC.2017.8263873ISI: 000424696901091Scopus ID: 2-s2.0-85046129816ISBN: 978-1-5090-2873-3 (tryckt)OAI: oai:DiVA.org:kth-223867DiVA, id: diva2:1187830
Konferanse
56th IEEE Annual Conference on Decision and Control, CDC 2017, Melbourne Convention and Exhibition Centre (MCEC)Melbourne, Australia, 12 December 2017 through 15 December 2017
Merknad

QC 20180306

Tilgjengelig fra: 2018-03-06 Laget: 2018-03-06 Sist oppdatert: 2018-11-14bibliografisk kontrollert

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