Neural AILC for Error Tracking Against Arbitrary Initial Shifts
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DOI: 10.1109/tnnls.2017.2698507
Abstract: This paper concerns with the adaptive iterative learning control using neural networks for systems performing repetitive tasks over a finite time interval. Two standing issues of such iterative learning control processes are addressed: one is… read more here.
Keywords: error; initial shifts; arbitrary initial; error tracking ... See more keywords