Reducing number of parameters in a polynomial nonlinear state space applied to a hysteretic system

Alireza Fakhrizadeh Esfahani; Philippe Dreesen; Koen Tiels; Jean-Philippe Noel; Joannes Schoukens

Reducing number of parameters in a polynomial nonlinear state space applied to a hysteretic system

Alireza Fakhrizadeh Esfahani, Philippe Dreesen, Koen Tiels, Jean-Philippe Noel, Joannes Schoukens

Onderzoeksoutput: Unpublished paper

Samenvatting

In this work the behavior of a hysteretic system is simulated by Bouc-Wen model to generate data. A polynomial nonlinear state space (PNLSS) is estimated and based on this PNLSS model, by using canonical polyadic decomposition, a decoupled model is initialized and then estimated. The main goal of this study is looking on the behavior of all possible decoupled models.

Originele taal-2	English
Pagina's	66
Aantal pagina's	1
Status	Published - 28 mrt. 2017
Evenement	36th Benelux Meeting on Systems and Control - Sol-Cress, Spa, Spa, Belgium Duur: 28 mrt. 2017 → 30 mrt. 2017 http://www.beneluxmeeting.nl/2017/ http://www.beneluxmeeting.nl/2017/ http://www.beneluxmeeting.nl/2017/ http://www.beneluxmeeting.nl/2017/

Conference

Conference	36th Benelux Meeting on Systems and Control
Land/Regio	Belgium
Stad	Spa
Periode	28/03/17 → 30/03/17
Internet adres	http://www.beneluxmeeting.nl/2017/ http://www.beneluxmeeting.nl/2017/ http://www.beneluxmeeting.nl/2017/ http://www.beneluxmeeting.nl/2017/

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T1 - Reducing number of parameters in a polynomial nonlinear state space applied to a hysteretic system

AU - Fakhrizadeh Esfahani, Alireza

AU - Dreesen, Philippe

AU - Tiels, Koen

AU - Noel, Jean-Philippe

AU - Schoukens, Joannes

PY - 2017/3/28

Y1 - 2017/3/28

N2 - In this work the behavior of a hysteretic system is simulated by Bouc-Wen model to generate data. A polynomial nonlinear state space (PNLSS) is estimated and based on this PNLSS model, by using canonical polyadic decomposition, a decoupled model is initialized and then estimated. The main goal of this study is looking on the behavior of all possible decoupled models.

AB - In this work the behavior of a hysteretic system is simulated by Bouc-Wen model to generate data. A polynomial nonlinear state space (PNLSS) is estimated and based on this PNLSS model, by using canonical polyadic decomposition, a decoupled model is initialized and then estimated. The main goal of this study is looking on the behavior of all possible decoupled models.

M3 - Unpublished paper

SP - 66

T2 - 36th Benelux Meeting on Systems and Control

Y2 - 28 March 2017 through 30 March 2017

ER -

Reducing number of parameters in a polynomial nonlinear state space applied to a hysteretic system

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Conference

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