High-bandwidth nano-positioning stages (NPSs) have boosted the advancement of modern
ultra-precise, ultra-fast measurement and manufacturing technologies owing to their fast …

We present a control scheme for video-rate atomic force microscopy with rosette pattern. The
controller structure involves a feedback internal-model-based controller and a feedforward …

The performance achieved with traditional model-based control system design approaches
typically relies heavily on accurate modeling of the motion dynamics. However, modeling the …

The aim of this article is to propose a novel rational feedforward tuning method, by directly
mapping the feedforward signal learned by dual-loop iterative learning control (DILC) onto …

Iterative learning control (ILC) applies to systems required to track the desired trajectory of
finite duration repeatedly. This article considers constrained ILC design for linear time …

Iterative learning control (ILC) is an appealing method in motion control applications that can
achieve the performance limit of feedforward compensation in repeating tasks …

A reference trajectory is specified for systems that repetitively execute the same finite
duration task in iterative learning control. In many current designs, the reference signal …

The article describes two new methods for driving piezoelectric tube scanners. The first
method aims to maximize horizontal and vertical scan range by driving the internal electrode …

This article proposes a new data-driven optimization of integrated control for flexible systems
to achieve high-performance automatic control. The integrated control that is composed of …

A piezoelectric actuator is commonly utilized in nanopositioning for its stiffness, fast
response, and ultrahigh precision. However, hysteresis in piezoelectric materials …