Control of 0 revolute robot manipulator has been distrit uted over a transputer network. Feedforward and feedback position control filters for the three major aces have been implemented as neural nets. With one hidden layer and trained using back-propagation. The jkedforward filter continues to adapt during operation and shows a steady improvement in control quality, and the ability to adupt to changes in the system &numics.
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