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
Link To Document :
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