Online system identification using wavelet neural networks

被引：0

作者：

Gopinath, S ^{[1
]}

Kar, IN ^{[1
]}

Bhatt, RKP ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Elect Engn, New Delhi 110016, India

来源：

TENCON 2004 - 2004 IEEE REGION 10 CONFERENCE, VOLS A-D, PROCEEDINGS: ANALOG AND DIGITAL TECHNIQUES IN ELECTRICAL ENGINEERING | 2004年

关键词：

identification; wavelet neural networks; wavelet transform; function approximation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：D530 / D533

页数：4

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