The Safe Automation Systems Laboratory (SAS-Lab) carries out methodological and experimental research in the area of control systems that must operate with high autonomy, in presence of constraints that are safety-critical for the system itself and its environment. 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.