In this paper, accurate trajectory tracking problem of a surface vehicle disturbed by complex
marine environments is solved by creating a finite-time control (FTC) scheme whereby 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 …

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 …

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 …

Most works on iterative learning control (ILC) assume identical reference trajectories for the
system state over the iteration domain. This fundamental assumption may not always hold in …

In this paper, we present a novel iterative learning control (ILC) algorithm for the leader-
follower formation tracking problem of a class of nonlinear multiagent systems that are …

Differential-type (D-type) iterative learning control (ILC) is a typical control method for
repetitive operating nonlinear systems and has been used for speed tracking of high-speed …

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 …

In the attitude tracking control tasks of rigid-body systems, initial alignment errors are
recognized as one of the main factors that hinder the effective controller design and thus the …

This brief is concerned with iterative learning control (ILC) of constrained multi-input multi-
output (MIMO) nonlinear systems under the state alignment condition with varying trial …