1 citations · 1 across the 1 of their papers we have counts for
3 papers
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…
Towards Automatic Composition of ASP Programs from Natural Language Specifications
Manuel Borroto, Irfan Kareem, Francesco Ricca
This paper moves the first step towards automating the composition of Answer Set Programming (ASP) specifications. In particular, the following contributions are provided: (i) A da…
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…