A brief overview on the model-based control and data-driven control methods is presented.
The data-driven equivalent dynamic linearization, as a foundational analysis tool of data …

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 this paper, we present an overview of adaptive control by contrasting model‐based
approaches with data‐driven approaches. Indeed, we propose to classify adaptive …

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 …

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 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 …

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 article considers the tracking control of unknown nonlinear nonaffine repetitive discrete-
time multi-input multi-output systems. Two data-driven iterative learning control (ILC) …