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eess.SY2025
Learning-based Approximate Model Predictive Control for an Impact Wrench Tool
Mark Benazet, Francesco Ricca, Dario Bralla +2
Learning-based model predictive control has emerged as a powerful approach for handling complex dynamics in mechatronic systems, enabling data-driven performance improvements while…
eess.SY2023
Degradation-aware data-enabled predictive control of energy hubs
Varsha Behrunani, Marta Zagorowska, Mathias Hudoba de Badyn +3
Mitigating the energy use in buildings, together with satisfaction of comfort requirements are the main objectives of efficient building control systems. Augmenting building energy…