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A Scenario Based Approach to Robust Experiment Design
The University of Newcastle, Australia.
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
2009 (English)In: Proceedings of the 15th IFAC Symposium on System Identification (SYSID’09), 2009, 186-191 p.Conference paper (Refereed)
Abstract [en]

Robust optimal experiment design is an infinite dimensional optimisation problem. Typically it is solved by discretisation of the design space resulting in a discrete semi-infinite convex programming problem which is computationally expensive. In this paper we propose a new computational approach to solve robust optimal experiment design problems based on a recently developed method for robust convex optimisation known as the 'scenario approach'.

Place, publisher, year, edition, pages
2009. 186-191 p.
, IFAC Proceedings Volumes (IFAC-PapersOnline), ISSN 14746670 ; 15
National Category
Control Engineering
URN: urn:nbn:se:kth:diva-72613DOI: 10.3182/20090706-3-FR-2004.0294ScopusID: 2-s2.0-80051609948ISBN: 978-390266147-0OAI: diva2:488285
15th IFAC Symposium on System Identification, SYSID 2009. Saint-Malo. 6 July 2009 - 8 July 2009

QC 20120202

Available from: 2012-02-01 Created: 2012-01-31 Last updated: 2016-04-11Bibliographically approved

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Rojas, Cristian R.
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ReferencesLink to record
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