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Optimal N-Parametric Type Iterative Learning Control

Ali Madady*, Hamid-Reza Reza-Alikhani, and Sara Zamiri
International Journal of Control, Automation, and Systems, vol. 16, no. 5, pp.2187-2202, 2018

Abstract : "One of the most important problems in the field of the iterative learning control (ILC) is to design algorithms, in order to achieve a desired convergence rate. In this paper a new type of the ILC algorithm is introduced, which is called N-parametric type ILC with optimal gains. The convergence of the proposed algorithm is analyzed and an optimal design method is presented to determine its gains. The effect of the number of the parameters on the convergence rate of the presented ILC is investigated. It is shown that N parametric type of this ILC has a better performance than the N-1 one. Illustrative simulation examples are given to verify the theoretical analysis."

Keyword : Iterative learning control, monotonic convergence, multi parametric controller, optimal design.

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