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
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;
Conference_Titel :
TENCON 2004. 2004 IEEE Region 10 Conference
Print_ISBN :
0-7803-8560-8
DOI :
10.1109/TENCON.2004.1414987
