Adaptive Iterative Learning Control for Linear Systems With Binary-Valued Observations


This brief presents a novel adaptive iterative learning control (ILC) algorithm for a class of single parameter systems with binary-valued observations. Using the certainty equivalence principle, the adaptive ILC algorithm is designed by employing a projection identification algorithm along the iteration axis. It is shown that, even though the available… (More)
DOI: 10.1109/TNNLS.2016.2616885

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