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On Optimal Input Design for Feed-forward Control
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: 0000-0002-1927-1690
2013 (English)In: Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on, IEEE conference proceedings, 2013, 7174-7180 p.Conference paper (Refereed)
Abstract [en]

This paper considers optimal input design when the intended use of the identified model is to construct a feed-forward controller based on measurable disturbances. The objective is to find a minimum power excitation signal to be used in a system identification experiment, such that the corresponding model-based feed-forward controller guarantees, with a given probability, that the variance of the output signal is within given specifications. To start with, some low order model problems are analytically solved and fundamental properties of the optimal input signal solution are presented. The optimal input signal contains feed-forward control and depends on the noise model and transfer function of the system in a specific way. Next, we show how to apply the partial correlation approach to closed loop optimal experiment design to the general feed-forward problem. A framework for optimal input signal design for feed-forward control is presented and numerically evaluated on a temperature control problem.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2013. 7174-7180 p.
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-141952DOI: 10.1109/CDC.2013.6761027ISI: 000352223508019ScopusID: 2-s2.0-84902352131ISBN: 978-1-4673-5714-2OAI: diva2:699242
IEEE Conference on Decision and Control 2013 (CDC13),10-13 Dec. 2013, Firenze, Italy
EU, FP7, Seventh Framework ProgrammeEU, European Research Council, 267381Swedish Research Council

QC 20140603

Available from: 2014-02-27 Created: 2014-02-27 Last updated: 2015-12-08Bibliographically approved

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