In this article, we review the dynamic control of parallel kinematic machines. It is shown that
the classical control strategies from serial robotics generally used for parallel kinematic …

In this paper, a smooth and time-optimal S-curve trajectory planning method is proposed to
meet the requirements of high-speed and ultra-precision operation for robotic manipulators …

In this paper, the feedforward controller design problem for high-precision
electromechanical servo systems that execute finite time tasks is addressed. The presented …

Iterative learning control (ILC) approaches often exhibit poor extrapolation properties with
respect to exogenous signals, such as setpoint variations. This brief introduces rational …

To meet the increasing demand for denser integrated circuits, feedforward control plays an
important role in the achievement of high servo performance of wafer stages. The …

Feedforward control enables high performance for industrial motion systems that perform
nonrepeating motion tasks. Recently, learning techniques have been proposed that improve …

Feedforward control can significantly enhance the performance of motion systems through
compensation of known disturbances. This paper aims to develop a new procedure to tune a …

Iterative learning control (ILC) enables high performance for exactly repeating tasks in
motion systems. Besides such tasks, many motion systems also exhibit varying tasks. In …

Nowadays, the adaptation of industrial robots to carry out high-speed machining operations
is strongly required by the manufacturing industry. This new technology machining process …

Abstract Iterative Learning Control (ILC) can significantly enhance the performance of
systems that perform repeating tasks. However, small variations in the performed task may …