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eess.SY2026
Recursive Learning of Feedforward and Compliance Compensation Parameters for Precision Motion Systems
M. Wind, J. Pierssens, R. Beerens +2
To meet the stringent requirements of future motion systems exhibiting time-varying and/or position-dependent behavior, online data must be leveraged to improve control performance…
eess.SY2025
Leveraging Non-Steady-State Frequency-Domain Data in Willems' Fundamental Lemma
T. J. Meijer, M. Wind, V. S. Dolk +1
Willems' fundamental lemma enables data-driven analysis and control by characterizing an unknown system's behavior directly in terms of measured data. In this work, we extend a rec…
eess.SY2024
Frequency-Domain Data-Driven Predictive Control
T. J. Meijer, S. A. N. Nouwens, K. J. A. Scheres +2
In this paper, we propose a data-driven predictive control scheme based on measured frequency-domain data of the plant. This novel scheme complements the well-known data-driven pre…