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 topicspublications and MSc theses for more details on each topic.