MIMO experiment design based on asymptotic model order theory
2009 (English)In: Proceedings of the IEEE Conference on Decision and Control, Shanghai, 2009, 488-493 p.Conference paper (Refereed)
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.
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
Research subject SRA - ICT
IdentifiersURN: urn:nbn:se:kth:diva-28497DOI: 10.1109/CDC.2009.5399693ISI: 000336893600083ScopusID: 2-s2.0-77950821968ISBN: 978-142443871-6OAI: oai:DiVA.org:kth-28497DiVA: diva2:390855
48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009; Shanghai
FunderSwedish Research Council, 621-2005-4345
QC 201101242011-01-242011-01-142015-06-10Bibliographically approved