Stochastic Iterative Learning Control for Lumped- and Distributed-Parameter Systems: A Wiener-Filtering Approach
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DOI: 10.1109/tac.2020.3028839
Abstract: This article presents a stochastically optimal iterative learning control (ILC) approach by designing a general integral learning operator which minimizes the expected mean-squares output error. The proposed learning law generalizes existing optimal PD-type learning laws… read more here.
Keywords: distributed parameter; control; parameter systems; iterative learning ... See more keywords