DOI: 10.1109/iccas.2013.6703934
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Sang-Chul Lee, Young-Hun Lim, Hyo-Sung Ahn

Abstract: In this paper, we develop iterative learning control (ILC ) algorithms when the final states of previous iteration are equal to the initial states of current iteration, which is called state alignment. When a new iteration begins along continuous time domain without stopping for a reset, the typical ILC algorithm is modified using dirac-delta function such that the state alignment condition is satisfied.