140 citations · 338 across the 22 of their papers we have counts for
4 papers · 1 filter
Model predictive control with dynamic move blocking
Valentina Breschi, Simone Formentin, Alberto Leva
Model Predictive Control (MPC) has proven to be a powerful tool for the control of systems with constraints. Nonetheless, in many applications, a major challenge arises, that is fi…
META-SMGO-: similarity as a prior in black-box optimization
Riccardo Busetto, Valentina Breschi, Simone Formentin
When solving global optimization problems in practice, one often ends up repeatedly solving problems that are similar to each others. By providing a rigorous definition of similari…
On the impact of regularization in data-driven predictive control
Valentina Breschi, Alessandro Chiuso, Marco Fabris +1
Model predictive control (MPC) is a control strategy widely used in industrial applications. However, its implementation typically requires a mathematical model of the system being…
Experience in Engineering Complex Systems: Active Preference Learning with Multiple Outcomes and Certainty Levels
Le Anh Dao, Loris Roveda, Marco Maccarini +8
Black-box optimization refers to the optimization problem whose objective function and/or constraint sets are either unknown, inaccessible, or non-existent. In many applications, e…