A Simplified approach to Iterative Learning Control based on strong practical stability of repetitive processes

Abstract

This paper develops significant new results on the design of Iterative Learning Control (ILC) schemes based on treating the problem within the framework of the stability/ control theory for linear repetitive processes. In particular, so-called strong practical stability is used and it is shown that this can be used to effect in cases where the performance specifications are placed on both error convergence and transient performance.