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

Gang An

Year
2001
Citations
2

Abstract

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.

Keywords

Iterative learning controlComputer scienceConvergence (economics)TrajectoryStability (learning theory)sortRobotTracking (education)AlgorithmIterative method

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