A SORT OF ITERATIVE LEARNING ALGORITHM FOR TRACKING CONTROL OF ROBOT TRAJECTORY

摘要

A new iterative learning algorithm is introduced for the robot trajectory control. The sufficient and necessary conditions for its convergence are established. In addition, a method to determine the learning gains through the experiment is also proposed based on a stability analysis of the system. The experiment shows the fast convergence of the proposed algorithm.