Tracking Control of Robot Manipulator Based on Robust Neural Network Control

This paper presents a robust neural network control scheme for robot manipulator. The robust controller is employed to eliminate the effect of the uncertainties, and a neural network is utilized to learn the unknown uncertain upper bound, which improves the performance. The experiments have been implemented and demonstrate the validation of the proposed method.