Author

Chris Verhoek

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Preprint Sep 2026

A Continuous-Time Generalization of the LPV Fundamental Lemma

Controller design for physical systems directly from data is of tremendous interest in both the industry and academia. However, the research on direct data-driven control has thus far mainly focused on discrete-time linear time-invariant systems. To make the highly non-trivial step to continuous-time nonlinear systems,...

Philipp Schmitz, Chris Verhoek · 0 citations

Preprint Sep 2026

Model-Free Control for Residential Heating: Deployment and Simulation of Nonlinear Data-Enabled Predictive Control

Residential heating accounts for a large share of building energy use, and predictive control strategies can reduce it by anticipating rather than reacting to the room temperature alone. The usual manner of implementing predictive control, model predictive control (MPC), requires an accurate model of each individual re...

S. Zieglmeier, Chris Verhoek, J. Eising et al. · 1 citation

Jul 2026

A subspace approach to data-driven predictive control for linear parameter-varying systems

This paper presents a subspace data-driven predictive control method for linear parameter-varying (LPV) systems. Starting from an affine LPV state-space model in innovation form, we derive a multi-step predictor that separates the effects of past data, future inputs, scheduling trajectories, and innovations. By project...

Federico Porcari, C. Verhoek, V. Breschi et al. · arXiv.org · 0 citations