Effect Output Noise in Iterative Learning Control
نویسندگان
چکیده
In this paper Iterative Learning Control(ILC) algorithm is analysed for a linear-time invariant SISO model with the effect of output noise and its properties derived. If the original plant is positive, it is shown that by using a fixed learning gain algorithm, the tracking error will converge and be predicted. Finally, through computational experiments, we confirm the correctness of the proposed properties.
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