DocumentCode
1677712
Title
Linear-wavelet models for non-linear identification applied to a pressure plant
Author
Becerra, V.M. ; Galvao, R.K.H. ; Calado, J.M.F. ; Silva, P.M.
Author_Institution
Dept. of Cybern., Reading Univ., UK
Volume
3
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
2180
Lastpage
2185
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
identification; neural nets; pressure control; statistical analysis; wavelet transforms; linear-wavelet models; nonlinear identification; nonlinear regression structure; pressure plant; radial wavelets; system identification; wavelet network; Buildings; Computer networks; Cybernetics; Ear; Electronic mail; Interpolation; Mechanical engineering; System identification; Testing; Wavelet domain;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1007479
Filename
1007479
Link To Document