The proportional-integral-derivative (PID) controller is widely used in process control
engineering. However, the parameter updating of PID controller has been a challenging …

The paper presents model-free proportional–integral–derivative (PID) type iterative learning
control (ILC) approach for the nonlinear batch process. The dynamic linearisation method is …

The proportional-integral-derivative (PID) controller is standard technique for controlling the
industrial batch process. However, the parameter tuning and updating of PID controller has …

With the development of high-speed rail transportation, the automatic train operation (ATO)
of high-speed trains (HSTs) has attracted considerable attention in the fields of both …

Iterative learning control (ILC) is an efficient technique applicable to improving the tracking
performance of systems that have a repetitive nature. In this paper, point-to-point movements …

This discussion note extends the robust iterative learning control (RILC) design for a class of
nonlinear systems with unknown dynamic and control gain uncertainty by discussing and …

Industrial processes, networked systems, and high-precision instruments often involve many
subsystems operating in unison on a mutual task. These processes are commonly referred …

Abstract Iterative Learning Control (ILC) is a control approach for intricate systems running in
repetitive tracking mode. It was firstly introduced by Uchiyama, dated back to 1978 [1], which …