An LPV identification framework based on orthonormal basis functions

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Samenvatting

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.
Originele taal-2Engels
TitelProceedings of the 15th IFAC Symposium on System Identification (SYSID 2009) 6-8 July 2009, Saint-Malo, France
Plaats van productieOxford
UitgeverijPergamon
Pagina's1328-1333
ISBN van geprinte versie978-3-902661-47-0
DOI's
StatusGepubliceerd - 2009
Evenement15th IFAC Symposium on System Identification (SYSID 2009) - Saint-Malo, Frankrijk
Duur: 6 jul 20098 jul 2009
Congresnummer: 15
http://www.sysid2009.org/

Congres

Congres15th IFAC Symposium on System Identification (SYSID 2009)
Verkorte titelSYSID 2009
Land/RegioFrankrijk
StadSaint-Malo
Periode6/07/098/07/09
AnderIFAC Symposium on System Identification
Internet adres

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