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- W2072229645 abstract "In iterative learning control schemes for linear discrete time systems, conditions to guarantee the monotonic convergence of the tracking error norms are derived. By using the Markov parameters, it is shown in the time-domain that there exists a non-increasing function such that when the properly chosen constant learning gain is multiplied by this function, the convergence of the tracking error norms is monotonic, without resort to high-gain feedback." @default.
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- W2072229645 date "2005-09-01" @default.
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- W2072229645 title "Monotonically convergent iterative learning control for linear discrete-time systems" @default.
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- W2072229645 doi "https://doi.org/10.1016/j.automatica.2005.01.019" @default.
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