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eess.SY2025
Generative design of stabilizing controllers with diffusion models: the Youla approach
Matteo Cercola, Donatello Materassi, Simone Formentin
Designing controllers that simultaneously achieve strong performance and provable closed-loop stability remains a central challenge in control engineering. This work introduces a d…
eess.SY2025
eXplainable AI for data driven control: an inverse optimal control approach
Federico Porcari, Donatello Materassi, Simone Formentin
Understanding the behavior of black-box data-driven controllers is a key challenge in modern control design. In this work, we propose an eXplainable AI (XAI) methodology based on I…