Skip to Main Content
Skip Nav Destination
ASME Press Select Proceedings

International Conference on Computer Technology and Development, 3rd (ICCTD 2011)

By
Jianhong Zhou
Jianhong Zhou
Search for other works by this author on:
ISBN:
9780791859919
No. of Pages:
2000
Publisher:
ASME Press
Publication date:
2011

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
This content is only available via PDF.
You do not currently have access to this chapter.
Close Modal

or Create an Account

Close Modal
Close Modal