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From structurally independent local LTI models to LPV model*
Inria IFSTTAR, France.
Linköping University, Department of Electrical Engineering, Automatic Control. Linköping University, Faculty of Science & Engineering.
2017 (English)In: Automatica, ISSN 0005-1098, E-ISSN 1873-2836, Vol. 84, 232-235 p.Article in journal (Refereed) Published
Abstract [en]

The local approach to linear parameter varying (LPV) system identification consists in interpolating individually estimated local linear time invariant (LTI) models corresponding to fixed values of the scheduling variable. It is shown in this paper that, without any global structural assumption of the considered LPV system, individually estimated local state-space LTI models do not contain sufficient information for determining similarity transformations making them coherent. It is possible to estimate these similarity transformations from input-output data under appropriate excitation conditions. (C) 2017 Published by Elsevier Ltd.

Place, publisher, year, edition, pages
PERGAMON-ELSEVIER SCIENCE LTD , 2017. Vol. 84, 232-235 p.
Keyword [en]
System identification; LPV model; Coherent local linear models
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:liu:diva-141927DOI: 10.1016/j.automatica.2017.06.006ISI: 000411546300030OAI: oai:DiVA.org:liu-141927DiVA: diva2:1149196
Available from: 2017-10-13 Created: 2017-10-13 Last updated: 2017-11-13

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The full text will be freely available from 2018-08-08 17:01
Available from 2018-08-08 17:01

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