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MIMO experiment design based on asymptotic model order theory
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (System Identification Group)ORCID iD: 0000-0003-0355-2663
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (System Identification Group)ORCID iD: 0000-0002-9368-3079
Laboratoire Jean Kuntzmann, Université Grenoble.
2009 (English)In: Proceedings of the IEEE Conference on Decision and Control, Shanghai, 2009, 488-493 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we investigate the problem of designing an input signal for a Multi-Input Multi-Output plant to minimize a control-oriented criterion. By employing Ljung's asymptotic (in model order and sample size) covariance formulas, we determine closed form expressions for the optimal input, which provide direct insight into the effect of the principal directions and gains of the open- and closed-loop transfer functions on the kind of experiment to be applied.

Place, publisher, year, edition, pages
Shanghai, 2009. 488-493 p.
Keyword [en]
Asymptotic model, Closed loop transfer function, Closed-form expression, Experiment design, Input signal, Model order, Multi-input multi-output plants, Principal directions, Sample sizes, Asymptotic analysis
National Category
Control Engineering
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-28497DOI: 10.1109/CDC.2009.5399693ISI: 000336893600083Scopus ID: 2-s2.0-77950821968ISBN: 978-142443871-6 (print)OAI: oai:DiVA.org:kth-28497DiVA: diva2:390855
Conference
48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009; Shanghai
Funder
Swedish Research Council, 621-2005-4345
Note

QC 20110124

Available from: 2011-01-24 Created: 2011-01-14 Last updated: 2015-06-10Bibliographically approved

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Rojas, Cristian R.Hjalmarsson, Håkan

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