A New Modification for Iterative Learning Control

In this paper, we propose a novel robust adaptive iterative learning control (RAILC) method with switching
$\sigma$
modifications for a class of nonlinear systems. Different from the existing works, the switching
$a$
modification instead of the saturation modification, is introduced to guarantee the robustness of the system parametric estimations.