Iterative Learning Control
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).
- 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.Google Scholar
- Bien, Z., & Huh, K. M. (1989). Higher-order iterative control algorithm. IEE Proceedings Part D, Control Theory and Applications, 105–112.Google Scholar
- Chen, Y. Q., & Wen, C. (1999). Iterative learning control: convergence, robustness and applications (Lecture Notes series on Control and Information Science, Vol. LNCIS-248). London: Springer.Google Scholar
- Markusson, O. (2002). Model and system inversion with applications in nonlinear system identification and control. Ph.D. thesis, Kungliga Tekniska Hogskolan, Sweden.Google Scholar
- 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.Google Scholar
- 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.Google Scholar
- Verwoerd, M. (2004). Iterative learning control: a critical review. Ph.D. thesis, University of Twente, Netherlands.Google Scholar