Iterative Learning Control : Analysis, Design, and Experiments

Abstract

In many industrial robot applications it is a fact that the robot is programmed to do the same task repeatedly. By observing the control error in the di#erent iterations of the same task it becomes clear that it is actually highly repetitive. Iterative Learning Control (ILC) allows to iteratively compensate for and, hence, remove this repetitive error. In the thesis