Abstract
Digital repetitive control is an internal model principle-based control technique that aims at tracking/rejecting periodic signals. A key assumption in traditional repetitive control designs is that the frequency of such signals is constant and known, its main drawback being the dramatic loss of performance that occurs when this frequency is uncertain or time-varying. This article reviews the most relevant proposals introduced so far to overcome this problem.
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