In this paper, an extended state observer-based data-driven iterative learning control
[extended state observer (ESO)-based DDILC] is developed for a permanent magnet linear …

This paper aims to deal with the control analysis and synthesis problem of data-driven
learning, regardless of unknown plant models and iteration-varying uncertainties. For the …

This paper presents a vibration control method for the vibration suppression of a robotic arm.
To understand the causes of the vibration in the six-axis manipulator and then eliminate the …

Although standard iterative learning control (ILC) approaches can achieve perfect tracking
for active magnetic bearing (AMB) systems under external disturbances, the disturbances …

The article proposes an intelligent controller for output regulation of nonlinear non-
autonomous continuous-time systems with mismatched uncertainties and matched …

Iterative learning control (ILC) is an effective strategy to deal with repetitive tasks and has
been widely applied in industrial systems. Many methods have been proposed to improving …

For systems executing repetitive tasks, how to realize the perfect tracking objective is
generally desirable, for which an effective method called “iterative learning control (ILC)” …

Compound disturbances in steer-by-wire (SbW) include non-periodic disturbances in the
mechanical system and periodic torque ripple in the permanent magnet synchronous motor …

CONTROL DESIGN FOR THE ACTIVE MAGNETIC BEARING SYSTEM Page 1 CONTROL
DESIGN FOR THE ACTIVE MAGNETIC BEARING SYSTEM A thesis submitted to the University …

An extended state observer based model-free adaptive iterative learning energy-efficient
control (ESO-based MFAILEEC) scheme for subway train speed tracking with external …