An LPV identification framework based on orthonormal basis functions

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Abstract

Describing nonlinear dynamic systems by Linear Parameter-Varying (LPV) models has become an attractive tool for control of complicated systems with regime-dependent (linear) behavior. For the identification of LPV models from experimental data a number of methods has been presented in the literature but a full picture of the underlying identification problem is still missing. In this contribution a solid system theoretic basis for the description of model structures for LPV systems is presented, together with a general approach to the LPV identification problem. Use is made of a series-expansion approach, employing orthogonal basis functions.
Original languageEnglish
Title of host publicationProceedings of the 15th IFAC Symposium on System Identification (SYSID 2009) 6-8 July 2009, Saint-Malo, France
Place of PublicationOxford
PublisherPergamon
Pages1328-1333
ISBN (Print)978-3-902661-47-0
DOIs
Publication statusPublished - 2009
Event15th IFAC Symposium on System Identification (SYSID 2009) - Saint-Malo, France
Duration: 6 Jul 20098 Jul 2009
Conference number: 15
http://www.sysid2009.org/

Conference

Conference15th IFAC Symposium on System Identification (SYSID 2009)
Abbreviated titleSYSID 2009
Country/TerritoryFrance
CitySaint-Malo
Period6/07/098/07/09
Internet address

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