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 …

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 …

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 …

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 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 article proposes an effective iterative learning control (ILC) approach based on
successive projection scheme for repetitive systems with randomly varying trial lengths. A …

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 …

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 the PD-type iterative learning control (ILC) for multiple time-delays
systems with polytopic parameter uncertainty. Based on repetitive process framework, the …

This paper puts forward a PD-type iterative learning control algorithm for a class of discrete
spatially interconnected systems with unstructured uncertainty. By lifting and changing the …