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 :
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