DocumentCode
2917625
Title
Online system identification using wavelet neural networks
Author
Gopinath, S. ; Kar, I.N. ; Bhatt, R.K.P.
Author_Institution
Dept. of Electr. Eng., Indian Inst. of Technol., New Delhi, India
Volume
D
fYear
2004
fDate
21-24 Nov. 2004
Firstpage
530
Abstract
In this paper, a wavelet-based neural network (WNN) is described for the online identification problem. An identification scheme is proposed that combines the advantages of both neural networks and wavelet decomposition technique. A learning algorithm is developed for the online identification of the nonlinear systems by WNN. The proposed algorithm has been verified through detailed simulation studies on continuous and discrete nonlinear systems.
Keywords
continuous time systems; discrete time systems; function approximation; neural nets; nonlinear control systems; nonlinear dynamical systems; wavelet transforms; continuous nonlinear system; discrete nonlinear system; dynamic system; function approximation; learning algorithm; online system identification; wavelet decomposition technique; wavelet neural network; wavelet transform; Neural networks; System identification;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN
0-7803-8560-8
Type
conf
DOI
10.1109/TENCON.2004.1414987
Filename
1414987
Link To Document