No theses available at the moment.
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The thesis work typically lasts not less than 6 months. It starts with the study of the problem and the related literature. Then the mathematical formulation of the proposed control algorithm is progressively derived and refined, and simulation experiments are performed to validate it (through the use of some computing language, like Julia, Python, Matlab, etc.).
The thesis is written in LaTeX, for instance using Overleaf.
Typically I can supervise no more than 2 students in parallel.
At the end of the work I will evaluate the possibility of submitting a conference/journal paper together with the student.
PHD Students
"Model Predictive Control of Cyber-Physical Systems", 2024. Co-supervised.
"Control and Data-driven Operational Strategies for Industry 4.0 and Sustainable City Logistics", 2022. Co-supervised.
Master in Control Engineering
"Decentralized assembly line task scheduling and control", 2024. 110/110 e lode.
"Model Predictive Control of a Signalized Intersection", 2024. 110/110.
"Sviluppo di un sistema di controllo basato su ottimizzazione distribuita MIP per la ricarica intelligente su larga scala di veicoli elettrici", 2023. 110/110 e lode.
"Traffic Control with Model Predictive Control and Deep Reinforcement Learning: a Comparison", 2023.
"Task Scheduling in Assembly Lines with Deep Reinforcement Learning", 2023. 110/110 e lode.
"Model Predictive Control for Electric Vehicles Smart Charging". 2023.
"Model Predictive Control Algorithm for Task Scheduling", 2022. 110/110 e lode.
"Control of an Energy Storage System based on Deep Reinforcement Learning", 2022.
Bachelor's in Control Engineering
"Model Predictive Control of a Road Intersection". 2024.
"Modellizzazione e Controllo Predittivo di un Pacco Batteria di un Veicolo Elettrico". 2024.
Feel free to contact me if you are interested in a thesis under my supervision. The average duration for the thesis work is 6 months.