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Gray-Box Identification for High-Dimensional Manifold Constrained Regression
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, The Institute of Technology.
2009 (English)Report (Other academic)
Abstract [en]

High-dimensional gray-box identification is a fairly unexplored part of system identification. Nevertheless, system identification problems tend to be more high-dimensional nowadays. In this paper we deal with high-dimensional regression with regressors constrained to some manifold. A recent technique in this class is weight determination by manifold regularization (WDMR). WDMR, however, is a black-box identification method. We show how WDMR can be extended to a gray-box method and illustrate the scheme with some examples.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2009. , 8 p.
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2896
Keyword [en]
Nonparametric identification, system identification, Regularization, Non-parametric regression, identification algorithms
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-56203ISRN: LiTH-ISY-R-2896OAI: oai:DiVA.org:liu-56203DiVA: diva2:317006
Projects
CADICS
Available from: 2010-04-30 Created: 2010-04-30 Last updated: 2014-09-22Bibliographically approved

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Ohlsson, HenrikLjung, Lennart

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CiteExportLink to record
Permanent link

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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