Search Results for author:
Found 6 papers, 0 papers with code
A Frequency-Domain Approach for Enhanced Performance and Task Flexibility in Finite-Time ILC
Iterative learning control (ILC) is capable of improving the tracking performance of repetitive control systems by utilizing data from past iterations.
Beyond Nyquist in Frequency Response Function Identification: Applied to Slow-Sampled Systems
Fast-sampled models are essential for control design, e. g., to address intersample behavior.
A Kernel-Based Identification Approach to LPV Feedforward: With Application to Motion Systems
The aim of this paper is to develop an identification approach that directly identifies dynamically scheduled feedforward controllers for LPV motion systems from data.
Basis Function feedforward for Position-Dependent Systems
Feedforward for motion systems is getting increasingly more important to achieve performance requirements.
Position-Dependent Snap Feedforward: A Gaussian Process Framework
Position-dependent compliance is compensated for by using a Gaussian process to model the snap feedforward parameter as a continuous function of position.
Gaussian Process Position-Dependent Feedforward: With Application to a Wire Bonder
Mechatronic systems have increasingly stringent performance requirements for motion control, leading to a situation where many factors, such as position-dependency, cannot be neglected in feedforward control.
