Abstract
In this book we present real-time iterative learning control (ILC) with successful applications to a number of processes widely encountered in industry. Many industrial control tasks are carried out repeatedly over a finite period. In such circumstances, control performance can be significantly enhanced by making full use of the process repeatability. Roboticmanipulator control was the first successful application [4]. It was reported that the tracking error can be reduced to 1/1000 by 12 iterations with only simple changes of the reference signals [77].
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