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 …

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 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 …

This paper contributes to a technical overview of recent progresses on stochastic iterative
learning control (ILC), where stochastic ILC implies the learning control for systems with …

This note proposes convergence analysis of iterative learning control (ILC) for discrete-time
linear systems with randomly varying iteration lengths. No prior information is required on …

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 …

Introduction: Digital technology platforms offer unparalleled opportunities to reach
vulnerable adolescents at scale and overcome many barriers that exist around conventional …

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 …