Iterative learning control (ILC) is a high performance control scenario that is widely applied
to systems that repeat a given task or operation defined over a finite duration, and has been …

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 …

Fuzzy control has become one of the most effective tools for dealing with complex
engineering processes. Over the years, research on fuzzy control systems has continuously …

This book categorizes the wide area of data-driven model-free controllers, reveals the exact
benefits of such controllers, gives the in-depth theory and mathematical proofs behind them …

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 …

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 …

This paper develops an indirect iterative learning control scheme for batch processes with
time-varying uncertainties, input delay, and disturbances. In this paper, a predictor based on …

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 article considers iterative learning control (ILC) for a class of discrete-time systems with
full learnability and unknown system dynamics. First, we give a framework to analyze the …