Research lines

My main research interest is Model Predictive Control (MPC), both from theoretical and applicative point of views.

MPC stability, recursive feasibility, robustness, invariance, terminal stability ingredients are concepts that I really enjoy to work with and to teach.

Other topics of my interest are: system identification, machine learning, control of biological systems, distributed control, optimization.

MPC applications which I’m working on:

Intelligent Artificial Pancreas

Learning Based MPC

UAV control

Economic MPC for process optimization

Economic MPC for Migrogrids Management

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