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MOOSE: A model based optimal input design toolbox
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.
2012 (English)In: 16th IFAC Symposium on System Identification, IFAC , 2012, no PART 1, 1535-1540 p.Conference paper, Published paper (Refereed)
Abstract [en]

MOOSE is a model based optimal input design toolbox developed for Matlab. The objective of the toolbox is to simplify the implementation of some optimal input design problems encountered in system identification. MOOSE provides an extra layer between the user and a convex optimization environment.

Place, publisher, year, edition, pages
IFAC , 2012. no PART 1, 1535-1540 p.
Series
IFAC Proceedings Volumes (IFAC-PapersOnline), ISSN 1474-6670 ; 16
Keyword [en]
Matlab toolbox, Optimal experiment design, Software tools, System identification and convex optimization
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-105446DOI: 10.3182/20120711-3-BE-2027.00338Scopus ID: 2-s2.0-84867057643ISBN: 978-390282306-9 (print)OAI: oai:DiVA.org:kth-105446DiVA: diva2:571432
Conference
Universite Libre de Bruxelles, 11 July 2012 through 13 July 2012, Bruxelles
Note

QC 20121122

Available from: 2012-11-22 Created: 2012-11-21 Last updated: 2012-11-22Bibliographically approved

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