SELF LEARNING CONTROLLER BASED ON NEURAL NETWORKS FOR ROBOTIC MANIPULATOR

Abstract

This paper presents a new self learning controller based on neural networks for robotic manipulator.A fast learning algorithm of neural networks is proposed to improve both speed and convergence of the learning process.Simulation results of a two link robot show that the proposed method can give more significant performance and robustness than conventional approaches.