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Iterative Data-Driven H-infinity Norm Estimation of Multivariable Systems With Application to Robust Active Vibration Isolation
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-0355-2663
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-9368-3079
2014 (English)In: IEEE Transactions on Control Systems Technology, ISSN 1063-6536, E-ISSN 1558-0865, Vol. 22, no 6, 2247-2260 p.Article in journal (Refereed) Published
Abstract [en]

This paper aims to develop a new data-driven H-infinity norm estimation algorithm for model-error modeling of multivariable systems. An iterative approach is presented that requires significantly a fewer prior assumptions on the true system, hence it provides stronger guarantees in a robust control design. The iterative estimation algorithm is embedded in a robust control design framework with a judiciously selected uncertainty structure to facilitate high control performance. The approach is experimentally implemented on an industrial active vibration isolation system.

Place, publisher, year, edition, pages
2014. Vol. 22, no 6, 2247-2260 p.
Keyword [en]
Active vibration isolation system, data-driven control, data-driven modeling, model-free control, multivariable control, robust control, system identification for control, uncertain systems, uncertainty estimation
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-158416DOI: 10.1109/TCST.2014.2303047ISI: 000345576300014Scopus ID: 2-s2.0-84908234754OAI: oai:DiVA.org:kth-158416DiVA: diva2:776232
Note

QC 20150107

Available from: 2015-01-07 Created: 2015-01-07 Last updated: 2017-12-05Bibliographically approved

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Rojas, Cristian R.Hjalmarsson, Håkan

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