The feed system is a typical mechatronics system, as well as motion control equipment, that
serves as a fundamental component of CNC machine tools. Developing a precise …

This paper studies the quantized iterative learning control with encoding–decoding
mechanism of a class of impulsive differential inclusion systems with random data dropouts …

This paper presents the precision control of a 2-DOF stick-slip positioning stage that exhibits
friction nonlinearity, hysteresis nonlinearity, creep nonlinearity and cross-coupling …

This work presents a novel design framework of adaptive iterative learning control (ILC)
approach for a class of uncertain nonlinear systems. By using the closed-loop reference …

Iterative Learning Control (ILC) can achieve perfect tracking performance for mechatronic
systems. The aim of this paper is to present an ILC design tutorial for industrial mechatronic …

This work presents a data driven control strategy able to track a set point without steady‐
state error. The control sequence is computed as an affine combination of past control …

The repetitive control (RC), capable of tracking periodic trajectories and rejecting periodic
disturbances, is a promising technique to control the nanopositioning stages for high-speed …

This work concerns adaptive iterative learning control (AILC) for nonsquare multiple-input--
multiple-output (MIMO) nonlinear systems. With newly introduced techniques in dealing with …

In this article, an optimal data-driven difference-inversion-based iterative control (ODDD-IIC)
method is proposed for high-speed precision tracking in the presence of dynamics changes …

Learning control enables significant performance improvement for systems that perform
repeating tasks. Achieving high tracking performance by utilizing past error data typically …