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, , 9-13 September 2024), 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 Theses
Supervision
o Stefano Spinelli, Executive PhD
student in Information Engineering, 2021. Thesis title: Optimization and control of smart thermal-energy grids.
o William D’Amico. PhD student in
Information Engineering, 2024. Thesis title: Data-based control design for linear and recurrent neural network
models with stability guarantees. Recipient of the premio SIDRA per la migliore Tesi
di Dottorato in Automatica,
2024
o Daniele Ravasio.
PhD student in Information Engineering, ongoing.
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),
Enrico Terzi (Thesis title: Learning-based
model predictive control: theory and applications), Fabio Bonassi (recipient of the 2023 Dimitris N. Chorafas Foundation Prize, thesis title: Reconciling deep learning and control theory
: recurrent neural networks for model-based control design). He is
currently serving as a co-supervisor of Jinyang Li.
Master Theses on control of mobile robots and vehicles
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 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 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 Multi-robot cooperative control with UWB localization technology, Yitian
Gao, Academic Year 2019/2020.
o Design and analysis of a localization algorithm with absolute and relative
measurements for a team of moving robots, Eleonora Farina, ongoing.
o Distributed Networked Predictive Control with application to a
laboratory experimental setup. Alex Ferrario, Academic Year 2021/2022.
o
Trajectory optimization for aerial
robots with physical interactions. Riccardo Fuser, Academic Year 2022/2023, in collaboration with
LAAS-CNRS, Toulouse, France.
o Development of a novel feedback linearization method for MPC control of
quadrotors. Lorenzo Cilurzo,
ongoing.
o Development and control of an aerial manipulator. Giulio Franchi, ongoing, in
collaboration with Marco Tognon, INRIA, Rennes, FR.
Co-supervision
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 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 A feedback linearization controller for an autonomous vehicle
considering the steering actuator model, Francesco Casiello,
Academic Year 2019/2020.
Master Theses on BUDD-e and assistive robotics
Supervision
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
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, 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
Development of a distance controller
for a robotic guide for blind and visually impaired users and customization for
wayfinding in healthcare facilities. Eleonora Antonia Tagarelli,
Academic Year 2022/2023, Recipent of the “Premio C. Maffezzoni".
o
Towards the development of an autonomous
guide for visually impaired users for sport activities. Virginia di Mauro and Manuel Nava,
Academic Year 2023/2024.
o Stochastic model predictive control for autonomous wheelchair using
pedestrian trajectory uncertainty modeling. Mahdieh Jalali, Academic Year 2023/2024.
o Development and application of advanced estimation algorithms for
assistive robotics in populted environments. Davide Pizzocheri
and Pierandrea Porfiri,
ongoing.
o Control and localization of an autonomous wheelchair. Marcell Czipò,
ongoing.
Master Theses on other applications
Supervision
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 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 Development, control, and testing of an air levitation system for
educational purpose, Justin Christopher Kuzhandairaj, 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 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 Optimal management of smart energy grids using hierarchical and
distributed optimization schemes, Mattia Locatelli, Academic Year 2019/2020.
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 Development of a modular cobot for e-waste
recycling. Francesco Laudadio,
Academic Year 2023/2024.
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
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
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 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.
Master Theses on design of centralized and
distributed controllers and state estimators for linear systems
Supervision
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 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 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 A robust model predictive control algorithm for networked configurations, Marco Bozzo,
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
Application of fault detection
schemes to the case of cyber attacks for distributed
control systems. Ayberk Celebi, Academic Year 2022/2023.
Co-supervision
o
Centralized and distributed state estimation
for robot localization,
Daniele Balzaretti, Academic Year
2009/2010, Politecnico di Milano, in collaboration with TU Delft.
o
Controllo
Predittivo Distribuito di una valle Idroelettrica,
Davide Melzi, Academic Year 2010/2011, Politecnico di Milano.
o Robust model predictive control
methods for systems with unstructured uncertainty, Francesco Fontana, Academic Year 2017/2018, Politecnico di Milano.
Master Theses on design of controllers for
recurrent neural network models and data-based control design
Supervision
o Direct nonlinear control design:
virtual reference feedback tuning with recurrent neural networks, William D'Amico, Academic Year
2018-2019.
o Data-based control for linear systems with stability guarantees, Onur Okcu, Academic Year 2021/2022, recipient of the “Premio Schiavoni 2023”.
o
Data-based control design for
input-saturated linear systems with robust stability guarantees. Simone Zanini,
Academic Year 2022/2023.
o
A new combined approach for model
class selection and parameters learning for nonlinear dynamical systems. Corrado Sgadari, Academic Year 2023/2024.
o Identification and LMI-based model predictive control of explicit
Recurrent Equilibrium Networks. Francesco-Gastone Ferrara, Academic Year
2023/2024.
o Robust and decentralized model predictive control for recurrent neural
network models. Marco Maccagni, Academic Year 2023/2024.
o Analysis of nonlinear dynamics modelling capabilities of different
classes of recurrent neural networks. Gianfranco Loparco,
ongoing.
o A combined approach for control-oriented physics-based learning and
coalitional control with recurrent neural network models. Claudia Sbardi,
ongoing.
o Development of a novel velocity form-based MPC control methods for
recurrent neural network models. Bestem Abdoulaziz,
ongoing.
Co-supervision
o Echo state networks: analysis, identification and predictive control of
non-linear systems, Luca Bugliari Armenio,
Academic Year 2017/2018, Politecnico di Milano.
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