Transient elimination and memory saving possibilities for multidimensional nonparametric regularization illustrated on the cascaded water tanks benchmark problem

Péter Zoltán Csurcsia; Georgios Birpoutsoukis; Joannes Schoukens

Transient elimination and memory saving possibilities for multidimensional nonparametric regularization illustrated on the cascaded water tanks benchmark problem

Péter Zoltán Csurcsia, Georgios Birpoutsoukis, Joannes Schoukens

Onderzoeksoutput: Unpublished paper

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In this work an efficient nonparametric time domain (nonlinear) system identification method is presented which provides 1) a nonlinear modeling tool, 2) a transient estimation technique, and 3) memory reduction possibilities for the regularization technique. The proposed work is illustrated on
the cascaded tanks measurement benchmark [1].

Originele taal-2	English
Pagina's	40
Aantal pagina's	1
Status	Published - 24 apr. 2017
Evenement	Workshop on Nonlinear System Identification Benchmarks 2017 - Vrije Universiteit Brussels, U-residence, Brussels, Belgium Duur: 24 apr. 2017 → 26 apr. 2017 http://homepages.vub.ac.be/~mschouke/FILES/BenchmarkWorkshop2017_Abstracts.pdf

Conference

Conference	Workshop on Nonlinear System Identification Benchmarks 2017
Land/Regio	Belgium
Stad	Brussels
Periode	24/04/17 → 26/04/17
Internet adres	http://homepages.vub.ac.be/~mschouke/FILES/BenchmarkWorkshop2017_Abstracts.pdf

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Csurcsia, P. Z., Birpoutsoukis, G., & Schoukens, J. (2017). Transient elimination and memory saving possibilities for multidimensional nonparametric regularization illustrated on the cascaded water tanks benchmark problem. 40. Paper gepresenteerd op Workshop on Nonlinear System Identification Benchmarks 2017, Brussels, Belgium. http://homepages.vub.ac.be/~mschouke/FILES/BenchmarkWorkshop2017_Abstracts.pdf

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title = "Transient elimination and memory saving possibilities for multidimensional nonparametric regularization illustrated on the cascaded water tanks benchmark problem",

abstract = "In this work an efficient nonparametric time domain (nonlinear) system identification method is presented which provides 1) a nonlinear modeling tool, 2) a transient estimation technique, and 3) memory reduction possibilities for the regularization technique. The proposed work is illustrated onthe cascaded tanks measurement benchmark [1].",

author = "Csurcsia, {P{\'e}ter Zolt{\'a}n} and Georgios Birpoutsoukis and Joannes Schoukens",

year = "2017",

month = apr,

day = "24",

language = "English",

pages = "40",

note = "Workshop on Nonlinear System Identification Benchmarks 2017 ; Conference date: 24-04-2017 Through 26-04-2017",

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Csurcsia, PZ, Birpoutsoukis, G & Schoukens, J 2017, 'Transient elimination and memory saving possibilities for multidimensional nonparametric regularization illustrated on the cascaded water tanks benchmark problem', Paper gepresenteerd op Workshop on Nonlinear System Identification Benchmarks 2017, Brussels, Belgium, 24/04/17 - 26/04/17 blz. 40. <http://homepages.vub.ac.be/~mschouke/FILES/BenchmarkWorkshop2017_Abstracts.pdf>

Transient elimination and memory saving possibilities for multidimensional nonparametric regularization illustrated on the cascaded water tanks benchmark problem. / Csurcsia, Péter Zoltán; Birpoutsoukis, Georgios; Schoukens, Joannes.
2017. 40 Paper gepresenteerd op Workshop on Nonlinear System Identification Benchmarks 2017, Brussels, Belgium.

Onderzoeksoutput: Unpublished paper

TY - CONF

T1 - Transient elimination and memory saving possibilities for multidimensional nonparametric regularization illustrated on the cascaded water tanks benchmark problem

AU - Csurcsia, Péter Zoltán

AU - Birpoutsoukis, Georgios

AU - Schoukens, Joannes

PY - 2017/4/24

Y1 - 2017/4/24

N2 - In this work an efficient nonparametric time domain (nonlinear) system identification method is presented which provides 1) a nonlinear modeling tool, 2) a transient estimation technique, and 3) memory reduction possibilities for the regularization technique. The proposed work is illustrated onthe cascaded tanks measurement benchmark [1].

AB - In this work an efficient nonparametric time domain (nonlinear) system identification method is presented which provides 1) a nonlinear modeling tool, 2) a transient estimation technique, and 3) memory reduction possibilities for the regularization technique. The proposed work is illustrated onthe cascaded tanks measurement benchmark [1].

M3 - Unpublished paper

SP - 40

T2 - Workshop on Nonlinear System Identification Benchmarks 2017

Y2 - 24 April 2017 through 26 April 2017

ER -

Transient elimination and memory saving possibilities for multidimensional nonparametric regularization illustrated on the cascaded water tanks benchmark problem

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Conference

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