Identification of Wiener-Hammerstein systems by means of Support Vector Machines for Regression

Anna Marconato; D. Petri; Joannes Schoukens

Identification of Wiener-Hammerstein systems by means of Support Vector Machines for Regression

Anna Marconato, D. Petri, Joannes Schoukens

Elektriciteit

Onderzoeksoutput: Meeting abstract (Book)

Samenvatting

In this work we propose the use of Support Vector Machines for Regression for the identification of Wiener-Hammerstein systems. The proposed methodology not only leads to the definition of an alternative tool for system identification, but gives also better insight on the behaviour of the Support Vector Machines approach.

Originele taal-2	English
Titel	27th Benelux Meeting on Systems and Control, Heeze, The Netherlands, March 18-20, 2008, p. 134
Pagina's	134-134
Aantal pagina's	1
Status	Published - 18 mrt. 2008
Evenement	Unknown - Stockholm, Sweden Duur: 21 sep. 2009 → 25 sep. 2009

Conference

Conference	Unknown
Land/Regio	Sweden
Stad	Stockholm
Periode	21/09/09 → 25/09/09

Citeer dit

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title = "Identification of Wiener-Hammerstein systems by means of Support Vector Machines for Regression",

abstract = "In this work we propose the use of Support Vector Machines for Regression for the identification of Wiener-Hammerstein systems. The proposed methodology not only leads to the definition of an alternative tool for system identification, but gives also better insight on the behaviour of the Support Vector Machines approach.",

keywords = "system identification, Wiener-Hammerstein systems",

author = "Anna Marconato and D. Petri and Joannes Schoukens",

year = "2008",

month = mar,

day = "18",

language = "English",

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note = "Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet ; Conference date: 21-09-2009 Through 25-09-2009",

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T1 - Identification of Wiener-Hammerstein systems by means of Support Vector Machines for Regression

AU - Marconato, Anna

AU - Petri, D.

AU - Schoukens, Joannes

PY - 2008/3/18

Y1 - 2008/3/18

N2 - In this work we propose the use of Support Vector Machines for Regression for the identification of Wiener-Hammerstein systems. The proposed methodology not only leads to the definition of an alternative tool for system identification, but gives also better insight on the behaviour of the Support Vector Machines approach.

AB - In this work we propose the use of Support Vector Machines for Regression for the identification of Wiener-Hammerstein systems. The proposed methodology not only leads to the definition of an alternative tool for system identification, but gives also better insight on the behaviour of the Support Vector Machines approach.

KW - system identification

KW - Wiener-Hammerstein systems

M3 - Meeting abstract (Book)

SN - 978-90-8504-963-0

SP - 134

EP - 134

BT - 27th Benelux Meeting on Systems and Control, Heeze, The Netherlands, March 18-20, 2008, p. 134

T2 - Finds and Results from the Swedish Cyprus Expedition: A Gender Perspective at the Medelhavsmuseet

Y2 - 21 September 2009 through 25 September 2009

ER -

Identification of Wiener-Hammerstein systems by means of Support Vector Machines for Regression

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