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 …

Multidimensional control systems have been the subject of much productive research over
more than three decades. In contrast to standard control systems, there has been much less …

This paper considers iterative learning control law design for plants modeled by discrete
linear dynamics using repetitive process stability theory. The resulting one step linear matrix …

Iterative learning control (ILC) enables high control performance through learning from the
measured data, using only limited model knowledge in the form of a nominal parametric …

Iterative learning control (ILC) enables high performance for motion systems executing
repetitive tasks. The robustness filter of ILC enhances the robustness wrt model …

A robust iterative learning control (ILC) method is proposed for industrial batch processes
with input delay subject to time‐varying uncertainties, based on a two‐dimensional (2D) …

The standard assumption that a measurement signal is available at each sample in iterative
learning control (ILC) is not always justified, eg, when exploiting time-stamped data from …

A robust PI based indirect-type iterative learning control (ILC) is proposed in this paper for
industrial batch processes with time-varying uncertainties, based on a two-dimensional (2D) …

The chapter introduces the reader into the theory of automatic control, focusing on nonlinear
control schemes developed by means of artificial neural networks. It contains essential …

The subject area considered is discrete linear time delay systems operating repetitively on a
finite time interval with actuator faults, where the system resets at the end of each operation …