Neural Networks for Manipulator Control: —Methodology, Stability and Simulations

In this paper we discuss how to use neural networks to control robotic manipulators. Two different control structures and neural network on-line learning algorithms are proposed. The reason behind the proposed control structures is also presented. The whole system stability is guaranteed. Neural network off-line learning algorithm is suggested. Off-line learning improves the on-line running performance.