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ASME Press Select Proceedings
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
ISBN:
9780791859919
No. of Pages:
2000
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
369 Adaptive RBFNN Control for Mosfet Grasping Manipulator
By
Yong Qiang Dong
,
Yong Qiang Dong
School of Electrical and information Engineering,
Xu Chang University
, Xu Chang
, China
Search for other works by this author on:
Wu Wang
,
Wu Wang
School of Electrical and information Engineering,
Xu Chang University
, Xu Chang
, China
Search for other works by this author on:
Hong Ling Wang
Hong Ling Wang
School of Electrical and information Engineering,
Xu Chang University
, Xu Chang
, China
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Page Count:
5
-
Published:2011
Citation
Dong, YQ, Wang, W, & Wang, HL. "Adaptive RBFNN Control for Mosfet Grasping Manipulator." International Conference on Computer Technology and Development, 3rd (ICCTD 2011). Ed. Zhou, J. ASME Press, 2011.
Download citation file:
Electrostatic discharge (ESD) of MOSFET has become one of the major concerns in electronic product design, so the grasping with manipulator was proposed. The dynamic model of manipulator was established and adaptive neural network control with RBF NN strategy was applied to this repeat motion system. The adaptive law was designed and the simulation shows adaptive RBFNN control have good trajectory tracking ability and can applied into electronic design techniques for grasping control.
Abstract
Key Words
1 Introduction
2 Mathematical Models of Manipulator
3 Adaptive RBFNN Controlalgorithm
4 Simulations and Conclusions
Acknowledgment
References
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