Estimation of an N-L-N Hammerstein-Wiener model

Y. Zhu

Estimation of an N-L-N Hammerstein-Wiener model

Y. Zhu

Control Systems

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

5 Citaten (Scopus)

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Identification of SISO N-L-N Hammerstein-Wiener model is studied. First the model structure is motivated and disturbance model is discussed. Then the work is concentrated on parameter estimation. The original model is approximated using a simpler structure in which error is bilinear-in-parameters so that a relaxation scheme can be used. The relaxation algorithm will determine the input nonlinearity, a high order ARX linear model and the inverse of output nonlinearity. The original model is then obtained by order reduction on the linear model and by calculating the output nonlinearity from its inverse Simulation studies will be used to illustrate the method.

Originele taal-2	Engels
Titel	Proceedings of the 15th Triennial World Congress of the International Federation of Automatic Control (IFAC202), 21-26 June 2002, Barcelona, Spain
Aantal pagina's	6
Status	Gepubliceerd - 1 jan. 2002
Evenement	15th World Congress of the International Federation of Automatic Control (IFAC 2002 World Congress) - Barcelona, Spanje Duur: 21 jul. 2002 → 26 jul. 2002 Congresnummer: 15

Congres

Congres	15th World Congress of the International Federation of Automatic Control (IFAC 2002 World Congress)
Verkorte titel	IFAC 2002
Land/Regio	Spanje
Stad	Barcelona
Periode	21/07/02 → 26/07/02
Ander	IFAC 15th Triennial World Congress, Barcelona, Spain

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title = "Estimation of an N-L-N Hammerstein-Wiener model",

abstract = "Identification of SISO N-L-N Hammerstein-Wiener model is studied. First the model structure is motivated and disturbance model is discussed. Then the work is concentrated on parameter estimation. The original model is approximated using a simpler structure in which error is bilinear-in-parameters so that a relaxation scheme can be used. The relaxation algorithm will determine the input nonlinearity, a high order ARX linear model and the inverse of output nonlinearity. The original model is then obtained by order reduction on the linear model and by calculating the output nonlinearity from its inverse Simulation studies will be used to illustrate the method.",

keywords = "Block-oriented model, Identification, Nonlinear process, Parameter estimation, Relaxation algorithm",

author = "Y. Zhu",

year = "2002",

month = jan,

day = "1",

language = "English",

booktitle = "Proceedings of the 15th Triennial World Congress of the International Federation of Automatic Control (IFAC202), 21-26 June 2002, Barcelona, Spain",

note = "15th World Congress of the International Federation of Automatic Control (IFAC 2002 World Congress), IFAC 2002 ; Conference date: 21-07-2002 Through 26-07-2002",

}

TY - GEN

T1 - Estimation of an N-L-N Hammerstein-Wiener model

AU - Zhu, Y.

N1 - Conference code: 15

PY - 2002/1/1

Y1 - 2002/1/1

N2 - Identification of SISO N-L-N Hammerstein-Wiener model is studied. First the model structure is motivated and disturbance model is discussed. Then the work is concentrated on parameter estimation. The original model is approximated using a simpler structure in which error is bilinear-in-parameters so that a relaxation scheme can be used. The relaxation algorithm will determine the input nonlinearity, a high order ARX linear model and the inverse of output nonlinearity. The original model is then obtained by order reduction on the linear model and by calculating the output nonlinearity from its inverse Simulation studies will be used to illustrate the method.

AB - Identification of SISO N-L-N Hammerstein-Wiener model is studied. First the model structure is motivated and disturbance model is discussed. Then the work is concentrated on parameter estimation. The original model is approximated using a simpler structure in which error is bilinear-in-parameters so that a relaxation scheme can be used. The relaxation algorithm will determine the input nonlinearity, a high order ARX linear model and the inverse of output nonlinearity. The original model is then obtained by order reduction on the linear model and by calculating the output nonlinearity from its inverse Simulation studies will be used to illustrate the method.

KW - Block-oriented model

KW - Identification

KW - Nonlinear process

KW - Parameter estimation

KW - Relaxation algorithm

UR - http://www.scopus.com/inward/record.url?scp=84945569629&partnerID=8YFLogxK

M3 - Conference contribution

BT - Proceedings of the 15th Triennial World Congress of the International Federation of Automatic Control (IFAC202), 21-26 June 2002, Barcelona, Spain

T2 - 15th World Congress of the International Federation of Automatic Control (IFAC 2002 World Congress)

Y2 - 21 July 2002 through 26 July 2002

ER -

Estimation of an N-L-N Hammerstein-Wiener model

Samenvatting

Congres

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