Increasingly stringent performance requirements for motion control necessitate the use of
increasingly detailed models of the system behavior. Motion systems inherently move …

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 …

Mechatronic systems have increasingly high performance requirements for motion control.
The low-frequency contribution of the flexible dynamics, ie, the compliance, should be …

In the process of multi-axis contour tracking control, the traditional time-invariant method
could lead to a significant error in contour tracking due to the existence of two different …

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

The performance of a feedforward controller is primarily determined by the extent to which it
can capture the relevant dynamics of a system. The aim of this paper is to develop an input …

The productivity and product quality of many manufacturing systems hinge on the
performance of mechatronic positioning systems. For example in industrial large-format …

Many control applications are nonlinear and have to perform a range of different tasks.
Iterative Learning Control (ILC) enables high performance for a single task, but is highly …

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 paper presents a new command input prefilter that achieves exact residual vibration
cancellation for a single degree-of-freedom oscillator with linear time-varying (LTV) …