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 paper proposes a Q-learning based fault estimation (FE) and fault tolerant control (FTC)
scheme under iterative learning control (ILC) framework. Due to the repetitive demands on …

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 investigates the problem of event-triggered model-free adaptive iterative learning
control (MFAILC) for a class of nonlinear systems over fading channels. The fading …

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 …

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 paper considers the learning consensus problem for heterogenous high-order
nonlinear multi-agent systems with output constraints. The dynamics consisting of …

This article studies the human-in-the-loop fuzzy iterative learning control of leader-following
consensus for unknown mixed-order nonlinear multi-agent systems. The human operator …