Robust Neural Networks Compensating Motion Control of Reconfigurable Manipulator

Abstract

There are many uncertainties in real dynamics system of reconfigurable manipulator that makes PID etc. traditional methods control imprecisely. Thus, in this paper, to enhance computed torque control (CTC) based method, robust neural networks (RNN) compensating control scheme is developed to compensate structured and unstructured uncertainties. The… (More)
DOI: 10.1109/ICICIC.2006.342

Topics

1 Figure or Table

Cite this paper

@article{Li2006RobustNN, title={Robust Neural Networks Compensating Motion Control of Reconfigurable Manipulator}, author={Ying Li and Yuanchun Li}, journal={First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06)}, year={2006}, volume={2}, pages={388-391} }