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 …

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 …

Iterative learning control (ILC) is a high‐performance technique for repeated control tasks
with design postulates on a fixed reference profile and identical initial conditions. However …

In this article we review the recent advances in iterative learning control (ILC) for nonlinear
dynamic systems. In the research field of ILC, two categories of system nonlinearities are …

In this article, an echo state network (ESN)-based backstepping adaptive iterative learning
control scheme is proposed for nonlinear strict-feedback systems performing the same …

In this work, by proposing a Barrier Composite Energy Function (BCEF) method with a novel
Barrier Lyapunov Function (BLF), we present a new iterative learning control (ILC) scheme …

In this brief, we develop a novel iterative learning control (ILC) algorithm to deal with
trajectory tracking problems for a class of unicycle-type mobile robots with two actuated …

Iterative learning control (ILC) has been well recognized for its output tracking ability in
systems that perform repetitive tasks, such as robot manipulators. In practice, however, the …

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 …

A model-free iterative learning control strategy (ILC) in nonrepetitive trajectories, applied to
robotic manipulators is presented in this article. The development of this ILC controller is …