activity
20242026
most citedLifted Frequency-Domain Identification of Closed-Loop Multirate Systems: Applied to Dual-Stage Actuator Hard Disk Drives

6 citations · 9 across the 13 of their papers we have counts for

collaborators
Showing 2025Show all

8 papers · 1 filter

eess.SY2025

Automatic Basis Function Selection in Iterative Learning Control: A Sparsity-Promoting Approach Applied to an Industrial Printer

Tjeerd Ickenroth, Max van Haren, Johan Kon +3

Iterative learning control (ILC) techniques are capable of improving the tracking performance of control systems that repeatedly perform similar tasks by utilizing data from past i…

gr-qc2025

GraFIT: A toolbox for fast and accurate frequency response identification in Gravitational Wave Detectors

Mathyn van Dael, Max van Haren, Gert Witvoet +2

Frequency response function (FRF) measurements are widely used in Gravitational Wave (GW) detectors, e.g., for the design of controllers, calibrating signals and diagnostic problem…

eess.SY2025

Frequency domain identification for multivariable motion control systems: Applied to a prototype wafer stage

M. van der Hulst, R. A. González, K. Classens +4

Multivariable parametric models are essential for optimizing the performance of high-tech systems. The main objective of this paper is to develop an identification strategy that pr…

eess.SY2025

Local Rational Modeling for Identification Beyond the Nyquist Frequency: Applied to a Prototype Wafer Stage

Max van Haren, Lennart Blanken, Koen Classens +1

Fast-rate models are essential for control design, specifically to address intersample behavior. The aim of this paper is to develop a frequency-domain non-parametric identificatio…

eess.SY2025★ 2 cited

Performance Analysis of Multirate Systems: A Direct Frequency-Domain Identification Approach

Max van Haren, Lennart Blanken, Tom Oomen

Frequency-domain performance analysis of intersample behavior in sampled-data and multirate systems is challenging due to the lack of a frequency-separation principle, and systemat…

eess.SY2025

Parameter-Varying Feedforward Control: A Kernel-Based Learning Approach

Max van Haren, Lennart Blanken, Tom Oomen

The increasing demands for high accuracy in mechatronic systems necessitate the incorporation of parameter variations in feedforward control. The aim of this paper is to develop a…

eess.SY2025★ 1 cited

System Identification Beyond the Nyquist Frequency: A Kernel-Regularized Approach

Max van Haren, Roy S. Smith, Tom Oomen

Models that contain intersample behavior are important for control design of systems with slow-rate outputs. The aim of this paper is to develop a system identification technique f…

eess.SY2025★ 6 cited

Lifted Frequency-Domain Identification of Closed-Loop Multirate Systems: Applied to Dual-Stage Actuator Hard Disk Drives

Max van Haren, Masahiro Mae, Lennart Blanken +1

Frequency-domain representations are crucial for the design and performance evaluation of controllers in multirate systems, specifically to address intersample performance. The aim…