In this paper, the iterative learning control (ILC) literature published between 1998 and 2004
is categorized and discussed, extending the earlier reviews presented by two of the authors …

In this paper, three control methods—iterative learning control (ILC), repetitive control (RC),
and run-to-run control (R2R)—are studied and compared. Some mathematical …

This article addresses the problem of designing an iterative learning control for trajectory
tracking of rigid robot manipulators subject to external disturbances, and performing …

This paper deals with iterative learning control (ILC) design for uncertain time-delay
systems. Monotonic convergence of the resulting ILC process is studied, and a sufficient …

In this paper the iterative learning control (ILC) literature published between 1998 and 2004
is categorized and discussed, extending earlier reviews presented by two of the authors …

This paper will consider the influence of hydrothermal pretreatment to obtain a valuable
liquid phase and suitable raw material for pulping from Arundo donax L. and the influence of …

A neural network based iterative learning control (NN-ILC) strategy is proposed to improve
the product qualities in batch processes. Based on the repetitive nature of batch processes …

Color is one of the most important properties for object detection. Color Reduction of Image
(CRI) is an important factor for segmentation, compression, presentation and transmission of …

Based on the neural network approximator, an online adaptive iterative learning control
(AILC) algorithm is proposed for a class of nonlinear discrete-time system. Here, the random …

Industrial robots are defined as robot systems for manufacturing, with feature
programmability, certain automation, and capability to move on several axes. However, the …