Iterative Learning Control — Algorithms, Applications and Future Research Directions

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Abstract

This paper gives a tutorial on iterative learning control nearly five decades after what is widely regarded as the first substantive paper in the literature. The focus is on algorithm development under a number of general headings (linear, optimization, frequency domain, and nonlinear), together with supporting experimental validation/industrial applications and also applications in healthcare.

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File under embargo until 26-08-2025