Research overview The main theoretical research topics of the lab are: The derivation of uncertainty models from prior information and data; The design of advanced, robust and adaptive model predictive control logics; The design of optimization algorithms in presence of constraints and uncertainty. These methods are motivated by, and applied to, several technological fields: Airborne Wind Energy Systems; Digitalization, monitoring and inspection of civil infrastructure with aerial drones; Advanced control systems for smart manufacturing plants; Optimal management of electric generation systems and loads. Please check the research topics, publications and MSc theses for more details on each topic.