• sistemi di controllo, modellazione di processi, Matlab, Simulink, linguaggio C

March 2016-April 2016 Giotto training course Training course organized by Prospera, FederManager and ManagerItalia focused on the soft skills development. ▪ Team working ▪ Project/time management ▪ Communication and negotiation ▪ Problem solving ▪ Change management ▪ Business organization ▪ Sales techniques and marketing of themselves ▪ Customer relation process

June 2015- October 2015 Internship Aeronautical Lab, School of Engineering, University of Liverpool ▪ Development of an innovative dynamical model for unsteady flexible wings ▪ Implementation of said model in Matlab/Simlink sw ▪ Development of control laws based on: Pole placement, Feedback Linearization and Dissipativity ▪ Extension of dissipativity-based approach to take into account constraints on input and selected state variables Sector: Dynamics and control, Aeronautical engineering

October 2013-February 2016 Master degree in Mechatronics and Control Engineering University of Florence – School of Engineering Subject included:

▪ Control Systems ▪ Mechatronics ▪ Automation Lab ▪ Industrial Automation ▪ Vehicle Dynamics ▪ Diagnostic and Safety of systems ▪ Process estimation and identification ▪ Optimization methods ▪ Nonlinear Dynamical Systems ▪ Industrial Robotics ▪ Machines and Electronic Drives

Final project: “Process modelling and control of a nonlinear flexible wing subject to unsteady airflow”. In this work, an analytical model of flexible wing, taking explicitly into account the nonlinear behaviour of the wing material, the wing structural constraints (e.g. maximum flap deflection), and the unsteady behaviour of the airflow is presented. Moreover, an innovative control strategy, ensuring an highperformance and robust controller capable to suppress fluttering, is introduced and compared with the more traditional feedback linearization solution. The proposed technique is based on the design of a control system which is capable to ensure the dissipativity of the system, so to deal with optimal though inexact approximation of the nonlinearity (commonly unknown). An approximation of the basin of the attraction of the equilibrium in the origin is provided as well. The controlled process is simulated through Matlab\Simulink sw. Final grade 110/110 cum laude

October 2010-October 2013 Bachelor degree in Electronic and Telecommunications Engineering University of Florence – School of Engineering Subject included: ▪ C-language ▪ Applied Electronic ▪ Systems Reliability ▪ Telecommunications