Organization
and teaching in PhD schools:
Marcello Farina has taken a role in various PhD courses and
schools, i.e.,
o
member of the organizing committee and lecturer of the PhD
School From genes to models and return -
Systems biology: theory and application (9-12 June 2008) at Università degli Studi di Milano, Biology Department;
o
lecturer at several editions of the European Embedded Control
Institute Graduate School on Control Decentralized and distributed control
(20-24 February 2012, 25 February-01 March 2013, 23-27 February 2015, 30
January -03 February 2017), Supelec, Paris (France);
o
lecturer at several PhD Courses at Politecnico
di Milano: Distributed algorithms for estimation and control (2 - 5 July
2012), Model Predictive Control (18-22 November 2013, 16-20 November
2015, 13-17 November 2017, 7-11 September 2020, 5-9 September 2022), Unmanned
autonomous vehicles in air, land, and sea (6-10 June 2016), Optimal
filtering and data analysis: from Kolmogorov-Wiener to Kalman
(12-16 September 2016);
o
lecturer at the PhD Course Distributed Control and its
applications (14-16 July 2016), SIDRA (Società
Italiana Docenti e Ricercatori in Automatica) 2016
PhD School, Bertinoro, Forlì-Cesena, Italy.
o
lecturer at the PhD course Decentralized and distributed
control (2-9 June 2020), Supelec, Paris
(France) and EPFL Lausanne;
o
lecturer at the PhD Course Model Predictive Control
(7-15 October 2020), Piura University, Colombia.
PhD Thesis supervision:
o
Stefano Spinelli, Executive PhD
student in Information Engineering, XXXII ciclo.
Thesis title: Optimization and control of
smart thermal-energy grids.
o
William DAmico. PhD student in
Information Engineering, XXXVI Ciclo, ongoing.
PhD Thesis co-supervision:
Marcello Farina has served as co-supervisor of the PhD
students G. Betti (Thesis title: Methods and applications of distributed and decentralized model
predictive control), L. Giulioni (Thesis title: Stochastic Model Predictive Control with
application to distributed control systems), Xinglong Zhang (Thesis title: Hierarchical and multilayer control
structures based on MPC for large-scale systems), and Enrico Terzi (Thesis
title: Learning-based model predictive
control: theory and applications). He is currently serving as a
co-supervisor of Fabio Bonassi.
Master Thesis supervision:
o Studio e applicazione di tecniche di controllo predittivo per il controllo
e il coordinamento di agenti mobili, Luca Giulioni, Academic Year 2011-2012, Politecnico di Milano.
o
Model-predictive
control for reference planning in irrigation networks,
Alessandro Arduca, Academic Year 2012-2013, in
collaboration with the Department of Electrical and Electronic Engineering,
University of Melbourne (Prof. Micheal Cantoni).
o
Optimization
Issues for Demand-Side Management in Irrigation Networks,
Luca Castelli-Dezza, Academic Year 2012-2013, in
collaboration with the Department of Electrical and Electronic Engineering,
University of Melbourne (Prof. Micheal Cantoni). Winner of the ``Energy efficiency solutions"
Prize, awarded by ABB.
o Controllo avanzato di turbine eoliche galleggianti per la riduzione di
fatica della struttura, Giuseppe Battista Abbate, Academic Year 2013-2014, in collaboration with
the University of Aalborg (Prof. J. Stoustrup).
o Applicazione di schemi innovativi di controllo predittivo alla sezione di
refrigerazione di un impianto per il trattamento del gas naturale, Giacomo Pietro Ferrari and Emiliano
Pizzi, Academic Year 2013-2014, in collaboration with the Dipartimento di Chimica,
Politecnico di Milano (Prof. F. Manenti).
o Studio di tecniche distribuite di controllo predittivo stocastico per
l’inseguimento di segnali di riferimento e applicazione al coordinamento di
robot mobili, Simone Misiano, Academic Year
2013-2014.
o
Solutions
for model predictive control of large-scale cascade systems with application to
irrigation networks, Gabriele Maronati and Marco Fasani, Academic Year 2014-2015, in collaboration with the
Department of Electrical and Electronic Engineering, University of Melbourne
(Prof. Micheal Cantoni).
o Sviluppo e analisi di sistemi di controllo per l'inseguimento di segnali
applicati a un impianto chimico di trattamento di gas naturale, Marco Banfi, Academic Year 2014-2015,
in collaboration with the Dipartimento di Chimica, Politecnico di Milano (Prof.
F. Manenti).
o Controllo del moto di una sedia a rotelle autonoma mediante tecniche di
controllo predittivo, Mauro Gabellone e Eugenio Ceravolo, Academic Year 2015-2016, in
collaboration with the Artificial Intelligence and Robotics Laboratory (Prof.
M. Matteucci).
o
Analysis,
design and testing of novel partition-based state estimation and fault
detection schemes for large-scale systems, Stefano Attuati, Academic Year 2015-2016, in collaboration with the
Department of Electrical and Electronic Engineering, Imperial College, London
(Prof. T. Parisini).
o
Development,
control, and testing of an air levitation system for educational purpose,
Justin Christopher Kuzhandairaj, Academic Year
2017-2018.
o Sviluppo di un algoritmo di controllo predittivo stocastico per la guida
autonoma di una sedia a rotelle con collision avoidance rispetto a pedoni in
movimento, Stefano Zappella, Academic Year 2017-2018.
o
Design
of an automatic method for the soft-sensing of the surfactant concentration in
a mini-plant of hydroformylation of long-chain alkenes in microemulsions,
Angela Patricia alzate Giraldo, Academic Year 2017-2018, developed at TU Berlin
in collaboration with MSc Markus Illner.
o
Assessment
of the robustness of the feedback linearization of a bicycle model with respect
to model uncertainties using bifurcation analysis,
Jose Carlos Lopez Puerto, Academic Year 2017-2018.
o
Model
based approaches for fault detection of stochastic large-scale systems,
Andrea Caspani, Academic Year 2017-2018.
o
A multirate
hierarchical MPC scheme for ensembles of Hammerstein systems,
Gianmarco Guinderi,
Academic Year 2018-2019, in collaboration with Prof. Stefan Streif,
TU Chemnitz, DE.
o
Real-time solution for long-term
tracking of soft tissue deformations in surgical robots,
Martin Vasilkovski, Academic Year 2018-2019.
o
Predictive Control Schemes for
Fire-Tube Steam Generators, Elia Longoni,
Academic Year 2018-2019.
o
Direct nonlinear control design:
virtual reference feedback tuning with recurrent neural networks,
William D'Amico, Academic Year 2018-2019.
o
Nonlinear model predictive
control for multi-rotor aerial vehicles under visual-perceptive constraints,
Gianluca Corsini, Academic
Year 2019/2020, in collaboration with Prof. Antonio Franchi,
LAAS, CNRS.
o
Online
localization using UWB devices, Liang Dong,
Academic Year 2019/2020.
o
Optimal
management of smart energy grids using hierarchical and distributed
optimization schemes, Mattia Locatelli, Academic Year
2019/2020.
o
A
robust model predictive control algorithm for networked configurations,
Marco Bozzo, Academic Year 2019/2020.
o
Multi-robot
cooperative control with UWB localization technology,
Yitian Gao, Academic Year 2019/2020.
o
A
novel partition-based algorithm for the estimation and control of distributed
systems, Marco Rocca, Academic Year 2020/2021.
o
Design
and analysis of a localization algorithm with absolute and relative
measurements for a team of moving robots, Eleonora
Farina, ongoing.
o
Data-based
control for linear systems with stability guarantees,
Onur Okcu, Academic Year
2021/2022, recipient of the “Premio Schiavoni 2023”.
o
Distributed
Networked Predictive Control with application to a laboratory experimental
setup. Alex Ferrario, Academic Year
2021/2022.
o Analysis and experimental
validation of mathematical models of wine fermentation.
Ettore Pavanello e Roberto Innocenti, Academic
Year 2021/2022, recipient of the “Quazza Prize 2023”.
o
Design,
realization, and control of a smart tether system for a robotic guide for blind
and visually impaired users. Panita
Rattamasanaprapai, Academic Year 2021/2022.
o
Development,
control and validation of a guide robot for blind and partially sighted users. Paolo
Marson, Academic Year 2022/2023.
o Application of fault detection
schemes to the case of cyber attacks for distributed
control systems. Ayberk
Celebi, Academic Year 2022/2023.
o
Advanced
control design and customization of a robotic guide for blind and visually
impaired users, with application to sport activities and navigation in health
centers, Eleonora Antonia Tagarelli, ongoing.
o
Planning
and control of a perching drone, Riccardo Fuser, ongoing.
o
Control
design with robust local stability conditions through linear matrix inequaity optimization problems,
Simone Zanini, ongoing.
Master Thesis
co-supervision:
o Studio del processo
di combustione in un impianto
di termovalorizzazione,
Nullo Madella e Francesco Sandrini, Academic Year
2007/2008, Politecnico di Milano, in collaboration with RSE SpA.
o Analisi molecolari e computazionali della regolazione intra-dominio di
hSos1, il maggiore attivatore della proto-oncoproteina Ras, Alessandro Villa, Università di
Milano-Bicocca.
o Controllo della parte aria di un motore turbodiesel, Alessio Villa, Academic Year
2009/2010, Politecnico di Milano, in collaboration with Magneti-Marelli.
o Centralized and distributed state estimation for robot localization, Daniele Balzaretti, Academic Year
2009/2010, Politecnico di Milano, in collaboration with TU Delft.
o Metodi di controllo applicati a impianti di aerogenerazione off-shore, Fabio Ceriali, Academic Year
2009/2010, Politecnico di Milano, in collaboration with RSE SpA.
o Controllo Predittivo Distribuito di una valle Idroelettrica, Davide Melzi, Academic Year 2010/2011,
Politecnico di Milano.
o Metodi di Load Shedding nei sistemi di potenza industriali, Marco Giroletti, Academic Year
2009/2010, Politecnico di Milano, in collaboration with Siemens.
o Simulazione dinamica e applicazione di tecniche avanzate di stima ad un
processo chimico, Paolo Carinci,
Academic Year 2010-2011, Politecnico di Milano.
o Modellistica e controllo di turbine offshore per acque profonde, Andrea Marzorati, Academic Year
2011-2012, Politecnico di Milano, in collaboration with RSE SpA.
o Navigazione e coordinamento di agenti mobili mediante tecniche di controllo
predittivo distribuito, Andrea Perizzato, Academic Year 2012-2013, Politecnico di Milano.
o Controllo predittivo distribuito per la navigazione e il sensing di sistemi
multi-agente, Marco Vergani, Academic Year
2013-2014, Politecnico di Milano.
o Controllo predittivo per l’inseguimento di traiettoria di un all terrain
vehicle, Valentina Rogora and Luca Rovellini,
Anno Accademico 2013-2014, Politecnico di Milano.
o Controllo predittivo per inseguimento di traiettoria di un all terrain
vehicle, Mattia Bonazzi, Anno Accademico 2014-2015, Politecnico di Milano.
o Analisi e sviluppo di metodi di monitoraggio di processo per
identificazione di guasti,
o
Control
of an autonomous all-terrain vehicle with model predictive control, Mattia Spaliviero,
Academic Year 2015/2016, Politecnico di Milano.
o Sviluppo di un controllo predittivo per un manipolatore con base
omnidirezionale, Gian Luca
Saggese, Academic Year 2016/2017, Politecnico di Milano.
o
Echo
state networks: analysis, identification and predictive control of non-linear
systems, Luca Bugliari Armenio,
Academic Year 2017/2018, Politecnico di Milano.
o
Robust model predictive control
methods for systems with unstructured uncertainty,
Francesco Fontana, Academic Year 2017/2018, Politecnico
di Milano.
o
Development, identification and
control of a new air levitation system for educational purpose, Zijian Yang, Academic Year 2018/2019, Politecnico di Milano.
o
Modeling and control of a twin
rotor system, Rafet
Tolga Cankurt, Academic
Year 2018/2019, Politecnico di Milano.
o
Twin
rotor MIMO system, Prasath Deenadayalan,
Academic Year 2018/2019.
o
A
feedback linearization controller for an autonomous vehicle considering the
steering actuator model, Francesco Casiello,
Academic Year 2019/2020.
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