Iterative Learning Control — Algorithms, Applications and Future Research Directions
Eric Rogers (University of Southampton)
Bing Chu (University of Southampton)
Kevin Moore (Colorado School of Mines)
T. Oomen (Eindhoven University of Technology, TU Delft - Team Jan-Willem van Wingerden)
Ying Tan (University of Melbourne)
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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.