DocumentCode
3213894
Title
Fuzzy Wavelet Neural Control of Underwater Manipulator
Author
He Jin ; Meng Qingxing ; Zhao Jie ; Wang Hua
Author_Institution
Robot Res. Inst., Harbin Ind. Univ., China
fYear
2006
fDate
7-11 Aug. 2006
Firstpage
1895
Lastpage
1899
Abstract
Fuzzy neural networks show good ability of self-adaption and self-learning, wavelet transformation or analysis shows the time frequency location characteristic and multi-scale ability. The controller based on fuzzy wavelet neural network is proposed in this paper. The presented approach has been used control for manipulator of underwater interfacing apparatus. And at last the computer simulation results show that control performance is improved significantly.
Keywords
fuzzy control; manipulators; neurocontrollers; self-adjusting systems; wavelet transforms; fuzzy wavelet neural control; self-adaption; self-learning; time frequency location characteristic; underwater interfacing apparatus; underwater manipulator; wavelet analysis; wavelet transformation; Control systems; Educational institutions; Electronic mail; Fuzzy control; Fuzzy neural networks; Helium; Manipulators; Service robots; Time frequency analysis; Wavelet analysis; Fuzzy Neural Network; Interfacing Apparatus; Manipulator; Wavelet Analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference, 2006. CCC 2006. Chinese
Conference_Location
Harbin
Print_ISBN
7-81077-802-1
Type
conf
DOI
10.1109/CHICC.2006.280881
Filename
4060429
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