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 note, we present a novel iterative learning control (ILC) method for a class of state-
constrained multi-input multi-output (MIMO) nonlinear system under state alignment …

In this technical note, we propose a new iterative learning control (ILC) scheme for nonlinear
systems with parametric uncertainties that are temporally and iteratively varying. The time …

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 this work, an iterative learning control scheme is designed for a class of nonlinear
uncertain systems with input saturation. The analysis of convergence in the iteration domain …

This paper aims to solve the robust iterative learning control (ILC) problems for nonlinear
time-varying systems in the presence of nonrepetitive uncertainties. A new optimization …

This paper studies the output tracking control problems for multiple-input, multiple-output
(MIMO) locally Lipschitz nonlinear (LLNL) systems subject to iterative operation and …

Most of the available results in iterative learning control (ILC) hitherto have considered the
ILC systems with fixed initial error and iteration-invariant reference trajectory. An adaptive …

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 …

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 …