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 …

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 …

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 …

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 …

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 …

In this article, a noisy-output-based direct learning tracking control is proposed for stochastic
linear systems with nonuniform trial lengths. The iteration-varying trial length is modeled …

Most works dealing with trajectory tracking problems in the iterative learning control (ILC)
literature assume an iteration domain that has identical trial lengths. This fundamental …