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 …

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 nonuniform trial length problem, which causes information dropout in learning, is very
common in various control systems such as robotics and motion control systems. This paper …

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

This paper addresses the vibration control and the input constraint for an Euler-Bernoulli
beam system under aperiodic distributed disturbance and aperiodic boundary disturbance …

This paper conducts a survey on iterative learning control (ILC) with incomplete information
and associated control system design, which is a frontier of the ILC field. The incomplete …

The typical characteristic of a magnetic shape memory alloy (MSMA)-based actuator is rate-
dependent and stress-dependent hysteresis. In addition, the hysteresis in an MSMA-based …

This paper proposes adaptive iterative learning control (ILC) schemes for continuous-time
parametric nonlinear systems with iteration lengths that randomly vary. As opposed to the …

In this article, a new adaptive fuzzy iterative learning control (AFILC) method is proposed for
the tracking control of nonlinear uncertain high-speed train (HST) operation systems that …

This paper addresses the problem of path tracking of industrial robots. The main idea is to
correct a preplanned path through an iterative learning control (ILC) method. Instead of …