Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach

R. Toth; P.S.C. Heuberger; P.M.J. Hof, Van den

doi:10.1109/CDC.2006.377063

Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach

R. Toth
, P.S.C. Heuberger
, P.M.J. Hof, Van den

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

2 Citaten (Scopus)

314 Downloads (Pure)

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A fuzzy clustering approach is developed to select pole locations for orthonormal basis functions (OBFs), used for identification of linear parameter varying (LPV) systems. The identification approach is based on interpolation of locally identified linear time invariant (LTI) models, using globally fixed OBFs. Selection of the optimal OBF structure, that guarantees the least worst-case local modelling error in an asymptotic sense, is accomplished through the fusion of the Kolmogorov n-width (KnW) theory and fuzzy c-means (FcM) clustering of observed sample system poles

Originele taal-2	Engels
Titel	Proceedings of the 45th IEEE Conference on Decision and Control (CDC 2006), 13-15 December 2006, San Diego, California
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	2529-2534
ISBN van geprinte versie	1-4244-0171-2
DOI's	https://doi.org/10.1109/CDC.2006.377063
Status	Gepubliceerd - 2006
Evenement	45th IEEE Conference on Decision and Control (CDC 2006) - San Diego, Verenigde Staten van Amerika Duur: 13 dec 2006 → 15 dec 2006 Congresnummer: 45 http://www.ieeecss.org/CAB/conferences/cdc2006/

Congres

Congres	45th IEEE Conference on Decision and Control (CDC 2006)
Verkorte titel	CDC 2006
Land/Regio	Verenigde Staten van Amerika
Stad	San Diego
Periode	13/12/06 → 15/12/06
Ander	45th IEEE Conference on Decision and Control (CDC 2006)
Internet adres	http://www.ieeecss.org/CAB/conferences/cdc2006/

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10.1109/CDC.2006.377063

1164529974591639Finale auteursversie , 1,17 MB

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Toth, R., Heuberger, P. S. C., & Hof, Van den, P. M. J. (2006). Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach. In Proceedings of the 45th IEEE Conference on Decision and Control (CDC 2006), 13-15 December 2006, San Diego, California (blz. 2529-2534). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/CDC.2006.377063

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abstract = "A fuzzy clustering approach is developed to select pole locations for orthonormal basis functions (OBFs), used for identification of linear parameter varying (LPV) systems. The identification approach is based on interpolation of locally identified linear time invariant (LTI) models, using globally fixed OBFs. Selection of the optimal OBF structure, that guarantees the least worst-case local modelling error in an asymptotic sense, is accomplished through the fusion of the Kolmogorov n-width (KnW) theory and fuzzy c-means (FcM) clustering of observed sample system poles",

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year = "2006",

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publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "45th IEEE Conference on Decision and Control (CDC 2006), CDC 2006 ; Conference date: 13-12-2006 Through 15-12-2006",

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Toth, R, Heuberger, PSC & Hof, Van den, PMJ 2006, Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach. in Proceedings of the 45th IEEE Conference on Decision and Control (CDC 2006), 13-15 December 2006, San Diego, California. Institute of Electrical and Electronics Engineers, Piscataway, blz. 2529-2534, 45th IEEE Conference on Decision and Control (CDC 2006), San Diego, California, Verenigde Staten van Amerika, 13/12/06. https://doi.org/10.1109/CDC.2006.377063

Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach. / Toth, R.; Heuberger, P.S.C.; Hof, Van den, P.M.J.
Proceedings of the 45th IEEE Conference on Decision and Control (CDC 2006), 13-15 December 2006, San Diego, California. Piscataway: Institute of Electrical and Electronics Engineers, 2006. blz. 2529-2534.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AU - Heuberger, P.S.C.

AU - Hof, Van den, P.M.J.

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N2 - A fuzzy clustering approach is developed to select pole locations for orthonormal basis functions (OBFs), used for identification of linear parameter varying (LPV) systems. The identification approach is based on interpolation of locally identified linear time invariant (LTI) models, using globally fixed OBFs. Selection of the optimal OBF structure, that guarantees the least worst-case local modelling error in an asymptotic sense, is accomplished through the fusion of the Kolmogorov n-width (KnW) theory and fuzzy c-means (FcM) clustering of observed sample system poles

AB - A fuzzy clustering approach is developed to select pole locations for orthonormal basis functions (OBFs), used for identification of linear parameter varying (LPV) systems. The identification approach is based on interpolation of locally identified linear time invariant (LTI) models, using globally fixed OBFs. Selection of the optimal OBF structure, that guarantees the least worst-case local modelling error in an asymptotic sense, is accomplished through the fusion of the Kolmogorov n-width (KnW) theory and fuzzy c-means (FcM) clustering of observed sample system poles

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DO - 10.1109/CDC.2006.377063

M3 - Conference contribution

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BT - Proceedings of the 45th IEEE Conference on Decision and Control (CDC 2006), 13-15 December 2006, San Diego, California

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Toth R, Heuberger PSC, Hof, Van den PMJ. Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach. In Proceedings of the 45th IEEE Conference on Decision and Control (CDC 2006), 13-15 December 2006, San Diego, California. Piscataway: Institute of Electrical and Electronics Engineers. 2006. blz. 2529-2534 doi: 10.1109/CDC.2006.377063

Orthonormal basis selection for LPV system identification, the Fuzzy-Kolmogorov c-Max approach

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