DocumentCode
381072
Title
Using wavelet network for identifying the model of robot manipulator
Author
Sun, Wei ; Wang, Yaonan ; Mao, Jianxu
Author_Institution
Dept. of Electr. Eng., Hunan Univ., Changsha City, China
Volume
2
fYear
2002
fDate
2002
Firstpage
1634
Abstract
Wavelet networks are a class of neural networks consisting of wavelets. In this paper, wavelet network is used for estimating model of robot manipulator. An algorithm is introduced for constructing wavelet network, and BP algorithm is used for training wavelet network. An example on two-joint robot manipulator identification is presented for illustration.
Keywords
backpropagation; identification; manipulators; neural nets; wavelet transforms; BP algorithm; backpropagation; neural networks; robot manipulator model identification; two-joint robot manipulator identification; wavelet network; Cities and towns; Continuous wavelet transforms; Discrete wavelet transforms; Manipulators; Neural networks; Robots; Signal processing algorithms; Sun; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1020865
Filename
1020865
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