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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)In: Proceedings of the 15th IFAC Symposium on System Identification, 2009, 1292-1297 p.Conference paper, Published paper (Refereed)
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
2009. 1292-1297 p.
Keyword [en]
Grey box modelling, Multivariable system identification, Nonparametric methods
National Category
Engineering and Technology Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-89064DOI: 10.3182/20090706-3-FR-2004.00215OAI: oai:DiVA.org:liu-89064DiVA: diva2:606852
Conference
15th IFAC Symposium on System Identification, Saint-Malo, France, July, 2009
Available from: 2013-02-20 Created: 2013-02-19 Last updated: 2013-02-20

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Ohlsson, HenrikLjung, Lennart

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