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Input selection in N2SID using group lasso regularization
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Computer and Information Science, Artificial Intelligence and Integrated Computer Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
Delft Univ Technol, Netherlands.
2017 (English)In: IFAC PAPERSONLINE, ELSEVIER SCIENCE BV , 2017, Vol. 50, no 1, p. 9474-9479Conference paper, Published paper (Refereed)
Abstract [en]

Input selection is an important and oftentimes difficult challenge in system identification. In order to achieve less complex models, irrelevant inputs should be methodically and correctly discarded before or under the estimation process. In this paper we introduce a novel method of input selection that is carried out as a natural extension in a subspace method. We show that the method robustly and accurately performs input selection at various noise levels and that it provides good model estimates. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

Place, publisher, year, edition, pages
ELSEVIER SCIENCE BV , 2017. Vol. 50, no 1, p. 9474-9479
Series
IFAC PAPERSONLINE, E-ISSN 2405-8963
Keywords [en]
Input selection; System identification; State-space models; N2SID; Subspace methods; Signal-to-noise ratio
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-145854DOI: 10.1016/j.ifacol.2017.08.1472ISI: 000423965100077OAI: oai:DiVA.org:liu-145854DiVA, id: diva2:1192128
Conference
20th World Congress of the International-Federation-of-Automatic-Control (IFAC)
Note

Funding Agencies|Swedish Research Council [E05946CI]

Available from: 2018-03-21 Created: 2018-03-21 Last updated: 2018-03-21

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Klingspor, MånsHaraldsson, AndersLöfberg, Johan
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf