LPV system identification using series expansion models

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Abstract

This review volume reports the state-of-the-art in Linear Parameter Varying (LPV) system identification. Written by world renowned researchers, the book contains twelve chapters, focusing on the most recent LPV identification methods for both discrete-time and continuous-time models, using different approaches such as optimization methods for input/output LPV models Identification, set membership methods, optimization methods and subspace methods for state-space LPV models identification and orthonormal basis functions methods. Since there is a strong connection between LPV systems, hybrid switching systems and piecewise affine models, identification of hybrid switching systems and piecewise affine systems will be considered as well.
Original languageEnglish
Title of host publicationLinear parameter-varying system identification : new developments and trends
EditorsP.L. Santos, dos, T.P.A. Perdicoúlis, C. Novara, J.A. Ramos, D.E. Rivera
Place of PublicationSingapore
PublisherWorld Scientific
Pages259-294
Number of pages404
ISBN (Print)978-981-4355-44-5
DOIs
Publication statusPublished - 2011

Publication series

NameAdvanced Series in Electrical and Computer Engineering
Volume14

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