LPV system identification using series expansion models

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

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.
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
StatePublished - 2011

Publication series

NameAdvanced Series in Electrical and Computer Engineering
Volume14

Fingerprint

Identification (control systems)
Switching systems
Hybrid systems

Cite this

Toth, R., Heuberger, P. S. C., & Hof, Van den, P. M. J. (2011). LPV system identification using series expansion models. In P. L. Santos, dos, T. P. A. Perdicoúlis, C. Novara, J. A. Ramos, & D. E. Rivera (Eds.), Linear parameter-varying system identification : new developments and trends (pp. 259-294). (Advanced Series in Electrical and Computer Engineering; Vol. 14). Singapore: World Scientific. DOI: 10.1142/9789814355452_0010
Toth, R. ; Heuberger, P.S.C. ; Hof, Van den, P.M.J./ LPV system identification using series expansion models. Linear parameter-varying system identification : new developments and trends. editor / P.L. Santos, dos ; T.P.A. Perdicoúlis ; C. Novara ; J.A. Ramos ; D.E. Rivera. Singapore : World Scientific, 2011. pp. 259-294 (Advanced Series in Electrical and Computer Engineering).
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Toth, R, Heuberger, PSC & Hof, Van den, PMJ 2011, LPV system identification using series expansion models. in PL Santos, dos, TPA Perdicoúlis, C Novara, JA Ramos & DE Rivera (eds), Linear parameter-varying system identification : new developments and trends. Advanced Series in Electrical and Computer Engineering, vol. 14, World Scientific, Singapore, pp. 259-294. DOI: 10.1142/9789814355452_0010

LPV system identification using series expansion models. / Toth, R.; Heuberger, P.S.C.; Hof, Van den, P.M.J.

Linear parameter-varying system identification : new developments and trends. ed. / P.L. Santos, dos; T.P.A. Perdicoúlis; C. Novara; J.A. Ramos; D.E. Rivera. Singapore : World Scientific, 2011. p. 259-294 (Advanced Series in Electrical and Computer Engineering; Vol. 14).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

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Toth R, Heuberger PSC, Hof, Van den PMJ. LPV system identification using series expansion models. In Santos, dos PL, Perdicoúlis TPA, Novara C, Ramos JA, Rivera DE, editors, Linear parameter-varying system identification : new developments and trends. Singapore: World Scientific. 2011. p. 259-294. (Advanced Series in Electrical and Computer Engineering). Available from, DOI: 10.1142/9789814355452_0010