Definition
Iterative Learning Control (ILC) is a relatively recent, but well-established, area of study in control theory. Various definitions of ILC have been given in the literature. Some of them are quoted here (Ahn et al. 2007 and the references therein):
The learning control concept stands for the repeatability of operating a given objective system and the possibility of improving the control input on the basis of previous actual operation data (Arimoto et al. 1984).
It is a recursive online control method that relies on less calculation and requires less a priori knowledge about the system dynamics. The idea is to apply a simple algorithm repetitively to an unknown plant, until perfect tracking is achieved (Bien and Huh 1989).
Iterative learning control is an approach to improving the transient response performance of the system that operates repetitively over a fixed time interval (Moore 1993).
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References
Ahn, H.-S., Moore, K. L., & Chen, Y. Q. (2007). Iterative learning control: robustness and monotonic convergence in the iteration domain. London: Springer-Verlag, Communications and Control Engineering Series.
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Moore, K. L. (1993). Iterative learning control for deterministic systems (Advances in Industrial Control). London: Springer.
Moore, K. L., Chen, Y. Q., Ahn, H.-S. (2006). Iterative learning control: a tutorial and a big picture view. Proceedings of the 2006 IEEE International Conference on Decision and Control (CDC), San Diego, IEEE, pp. 2352–2357.
Phan, M. Q., Longman, R. W., & Moore, K. L. (2000). Unified formulation of linear iterative learning control. AAS/AIAA Space Flight Mechanics Meeting, Clearwater Florida, pp. AAA 00–106.
Verwoerd, M. (2004). Iterative learning control: a critical review. Ph.D. thesis, University of Twente, Netherlands.
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Chen, Y., Moore, K.L., Ahn, HS. (2012). Iterative Learning Control. In: Seel, N.M. (eds) Encyclopedia of the Sciences of Learning. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1428-6_65
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