Linear-wavelet models for non-linear identification applied to a pressure plant

V. M. Becerra; R. K. H. Galvão; J. M. F. Calado; P. M. Silva

Linear-wavelet models for non-linear identification applied to a pressure plant

V. M. Becerra, R. K. H. Galvão, J. M. F. Calado, P. M. Silva

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A nonlinear regression structure comprising a wavelet network and a linear term is proposed for system identification. The theoretical foundation of the approach is laid by proving that radial wavelets are orthogonal to linear functions. A constructive procedure for building such models is described and the approach is tested with experimental data.

Original language	English
Title of host publication	International Joint Conference on Neural Networks: IJCNN 2002
Pages	2180-2185
Number of pages	6
Publication status	Published - 1 May 2002

Keywords

linear-wavelet models, nonlinear identification, nonlinear regression structure, pressure plant, radial wavelets, system identification, wavelet network

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title = "Linear-wavelet models for non-linear identification applied to a pressure plant",

abstract = "A nonlinear regression structure comprising a wavelet network and a linear term is proposed for system identification. The theoretical foundation of the approach is laid by proving that radial wavelets are orthogonal to linear functions. A constructive procedure for building such models is described and the approach is tested with experimental data.",

keywords = "linear-wavelet models, nonlinear identification, nonlinear regression structure, pressure plant, radial wavelets, system identification, wavelet network",

author = "Becerra, \{V. M.\} and Galv{\~a}o, \{R. K. H.\} and Calado, \{J. M. F.\} and Silva, \{P. M.\}",

year = "2002",

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language = "English",

pages = "2180--2185",

booktitle = "International Joint Conference on Neural Networks: IJCNN 2002",

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T1 - Linear-wavelet models for non-linear identification applied to a pressure plant

AU - Becerra, V. M.

AU - Galvão, R. K. H.

AU - Calado, J. M. F.

AU - Silva, P. M.

PY - 2002/5/1

Y1 - 2002/5/1

N2 - A nonlinear regression structure comprising a wavelet network and a linear term is proposed for system identification. The theoretical foundation of the approach is laid by proving that radial wavelets are orthogonal to linear functions. A constructive procedure for building such models is described and the approach is tested with experimental data.

AB - A nonlinear regression structure comprising a wavelet network and a linear term is proposed for system identification. The theoretical foundation of the approach is laid by proving that radial wavelets are orthogonal to linear functions. A constructive procedure for building such models is described and the approach is tested with experimental data.

KW - linear-wavelet models, nonlinear identification, nonlinear regression structure, pressure plant, radial wavelets, system identification, wavelet network

M3 - Conference contribution

SP - 2180

EP - 2185

BT - International Joint Conference on Neural Networks: IJCNN 2002

ER -

Linear-wavelet models for non-linear identification applied to a pressure plant

Abstract

Keywords

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