A learning control scheme based on neural networks for repeatable robot trajectory tracking

This paper presents an iterative learning controller using neural network (NN) for the robot trajectory tracking control. The basic control configuration is briefly presented and a new weight-tuning algorithm of NN is proposed with a dead-zone technique. Theoretical proof is given which shows that our modified algorithm guarantees the convergence of NN estimation error in the presence of disturbance. The simulation study demonstrates that the...