In practical applications of iterative learning control (ILC), the repetitive process may end up
early by accident during the performance improvement along the trial axis, which yields the …

This article proposes an effective iterative learning control (ILC) approach based on
successive projection scheme for repetitive systems with randomly varying trial lengths. A …

In most implementations of iterative learning control (ILC) for trajectory tracking, it is usually
required that the trial lengths of different iterations are uniform. However, this requirement …

The magnetic shape memory alloy based actuator (MSMA-BA) is an indispensable
component mechanism for high-precision positioning systems as it possesses the …

In this article, we consider quantized learning control for linear networked systems with
additive channel noise. Our objective is to achieve high tracking performance while reducing …

In recent years, data-driven research has attracted significant attention from both industry
and academia due to its success in medical, transportation, finance and other fields. How …

This article is concerned with the robust convergence analysis of iterative learning control
(ILC) against nonrepetitive uncertainties, where the contradiction between convergence …

This paper introduces three types of controllers: a PID-type iterative learning controller, an
adaptive iterative learning controller, and an optimal iterative learning controller, and …

This note considers the problem whether we can design a time-varying learning gain to
ensure the monotone convergence of system output tracking errors (SOTEs) in the sense of …

This work presents a novel design framework of adaptive iterative learning control (ILC)
approach for a class of uncertain nonlinear systems. By using the closed-loop reference …