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Robust Input Design Using Sum of Squares Constraints
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. (System Identification Group)ORCID iD: 0000-0002-3672-5316
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
2006 (English)In: 14th IFAC Symposium on System Identification, 2006, 1352-1357 p.Conference paper, Published paper (Refereed)
Abstract [en]

The objective of this paper is to illustrate how recent advances in convex programming can be used in input design in system identification. It is shown that sum of squares techniques and a recent generalization of the KYP lemma can be used to transform input design problems with frequency dependent bounds on the frequency function to convex optimization problems. Another important problem that can be handled with sum of squares is robust input design where initial uncertainty in the true parameters is accounted for.

Place, publisher, year, edition, pages
2006. 1352-1357 p.
National Category
Control Engineering
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-73577DOI: 10.3182/20060329-3-AU-2901.00219OAI: oai:DiVA.org:kth-73577DiVA: diva2:489026
Conference
14th IFAC Symposium on System Identification, SYSID-2006. Newcastle, Australia. March 29-31, 2006
Note
QC 20120528Available from: 2012-02-02 Created: 2012-02-02 Last updated: 2012-05-28Bibliographically approved

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Mårtensson, JonasHjalmarsson, Håkan

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