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A System, Signals and Identification Toolbox in {M}athematica with Symbolic Capabilities
Chalmers Institute of Technology.
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
2009 (English)In: 15th IFAC Symposium on System Identification, SYSID 2009, 2009, 747-751 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this contribution we describe a new signals, systems and identification toolbox for the symbolic and numerical computation system Mathematica. The toolbox provides functionality for computation of properties of systems and signals ranging from frequency responses, zeros and poles to signal spectra and spectral factorizations. It also includes a wide range of identification algorithms ranging from spectral analysis to subspace and prediction error identification of models for non-linear systems. The symbolic capabilities of Mathematica are used to allow the user to construct very general model structures, and for pre-processing, such as gradient calculations, when optimizing the parameters in such structures.

Place, publisher, year, edition, pages
2009. 747-751 p.
Series
IFAC Proceedings Volumes, ISSN 1474-6670 ; 15
National Category
Control Engineering
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-73495DOI: 10.3182/20090706-3-FR-2004.00124Scopus ID: 2-s2.0-80051628467ISBN: 9783902661470 (print)OAI: oai:DiVA.org:kth-73495DiVA: diva2:488969
Conference
15th IFAC Symposium on System Identification, SYSID 2009. Saint-Malo. 6 July 2009 - 8 July 2009
Note

QC 20120203

Available from: 2012-02-02 Created: 2012-02-02 Last updated: 2017-03-28Bibliographically approved

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Hjalmarsson, Håkan

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CiteExportLink to record
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Citation style
  • apa
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More styles
Language
  • de-DE
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  • nn-NB
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  • Other locale
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Output format
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