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 paper, we address four major issues in the field of iterative learning control (ILC)
theory and design. The first issue is concerned with ILC design in the presence of system …

This brief considers the iterative learning control (ILC) problem when tracking is only
required at a subset of isolated time points along the trial duration. It presents a norm …

This technical note presents an approach to deal with model uncertainty in iterative learning
control (ILC). Model uncertainty generally degrades the performance of conventional …

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 brief addresses the iterative learning control (ILC) problems for discrete-time systems
subject to iteration-dependent tracking time intervals. A modified class of P-type ILC …

Iterative learning control (ILC) is a high-performance control design method for systems
working in a repetitive manner. ILC has traditionally focused on tracking a reference defined …

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 …

The use of feedback-based iterative learning control (ILC) has been widely reported in the
literature to reduce large transient errors in the iteration-domain. Using both feedback and …

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 …