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Author

S. Zieglmeier

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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
Preprint Jul 2026

Data-driven predictive control of nonlinear systems using weighted regularization

This work proposes a data-driven predictive control framework for nonlinear systems that incorporates data column preferences according to their proximity to the current operating point through a weighted norm regularization, thereby localizing the predictor without discarding any data.

F. Engeln, S. Zieglmeier, Marta A. Zagorowska et al. · 0 citations

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