We propose an iterative learning control (ILC) algorithm coupled with an adaptive time delay estimate to improve the performance of a periodic process with unknown measurement delay. A proof for the asymptotic stability of the algorithm is provided. Simulation results demonstrate that the proposed algorithm reduces the tracking error to its theoretical minimum, regardless of the initial time delay estimation error.

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