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Neural network-based H∞ tracking control for robotic systems

✍ Scribed by Chang, Y.-C.


Book ID
114449960
Publisher
The Institution of Electrical Engineers
Year
2000
Tongue
English
Weight
782 KB
Volume
147
Category
Article
ISSN
1350-2379

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In this paper, we describe a robot endeffector tracking system based on two neural networks. The designed networks are to recognize the current po~,;ition and to estimate the next position of the endeffector. This tracking system can be very useful in controlling a robot at a remote site. A multila