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On-Line Structure Selection for Multivariable State-Space Models
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.
1982 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 18, no 5, 529-543 p.Article in journal (Refereed) Published
Abstract [en]

An algorithm is described for the selection of model structure for identifying state-space models of ‘black box’ character. The algorithm receives as ‘input’ a given system in a given parametrization. It is then tested whether this parametrization is suitable (well conditioned) for identification purposes. If not, a better one is selected and the transformation of the system to the new representation is performed. This algorithm can be used as a block both in an iterative, off-line identification procedure, and for recursive, on-line identification. It can be called whenever there is some indication that the model structure is ill-conditioned. It is discussed how the model structure selection algorithm can be interfaced with an off-line identification procedure. A complete procedure is described and tested on real and simulated data.

Place, publisher, year, edition, pages
Elsevier, 1982. Vol. 18, no 5, 529-543 p.
Keyword [en]
Identification, Multivariable systems, Model structure selection
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-102221DOI: 10.1016/0005-1098(82)90003-6OAI: oai:DiVA.org:liu-102221DiVA: diva2:675515
Available from: 2013-12-04 Created: 2013-12-04 Last updated: 2017-12-06

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Ljung, Lennart

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