Combining system identification and machine learning: a fast procedure for the initialization of nonlinear state-space models

Onderzoeksoutput: Meeting abstract (Book)

Samenvatting

In this work we address the problem of obtaining good starting values for the identification of nonlinear state-space models.

Originele taal-2	English
Titel	30th Benelux Meeting on Systems and Control, Lommel, Belgium, March 15-17, 2011.
Status	Published - 15 mrt. 2011
Evenement	Unknown - Duur: 15 mrt. 2011 → …

Conference	Unknown
Periode	15/03/11 → …

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title = "Combining system identification and machine learning: a fast procedure for the initialization of nonlinear state-space models",

abstract = "In this work we address the problem of obtaining good starting values for the identification of nonlinear state-space models.",

keywords = "system identification, machine learning, nonlinear state-space models",

author = "Anna Marconato and Joannes Schoukens and J. Sjoberg and Johan Suykens",

year = "2011",

month = mar,

day = "15",

language = "English",

isbn = "978-90-90-26089-1",

booktitle = "30th Benelux Meeting on Systems and Control, Lommel, Belgium, March 15-17, 2011.",

note = "Unknown ; Conference date: 15-03-2011",

}

TY - CHAP

T1 - Combining system identification and machine learning: a fast procedure for the initialization of nonlinear state-space models

AU - Marconato, Anna

AU - Schoukens, Joannes

AU - Sjoberg, J.

AU - Suykens, Johan

PY - 2011/3/15

Y1 - 2011/3/15

N2 - In this work we address the problem of obtaining good starting values for the identification of nonlinear state-space models.

AB - In this work we address the problem of obtaining good starting values for the identification of nonlinear state-space models.

KW - system identification

KW - machine learning

KW - nonlinear state-space models

M3 - Meeting abstract (Book)

SN - 978-90-90-26089-1

BT - 30th Benelux Meeting on Systems and Control, Lommel, Belgium, March 15-17, 2011.

T2 - Unknown

Y2 - 15 March 2011

ER -