Riccardo Bertollo
Department / Institute
Group
RESEARCH PROFILE
Riccardo's research expertise includes nonlinear and nonsmooth control theory, with particular focus on applications coming from mechatronics engineering.
Recently, he is getting interested in nonlinear (stochastic) system identification, with applications to modelling of pandemic outbreaks.
ACADEMIC BACKGROUND
Riccardo received the master’s degree (cum laude) in Mechatronics Engineering from the University of Trento (Italy) in 2019, with a thesis titled “Hybrid synchronization of networked oscillators”. He got his Ph.D. degree (cum laude) in Materials, Mechatronics and Systems Engineering from the University of Trento in 2023, on the topic "Hybrid solutions for mechatronic systems: applications to modeling and controller design". He is currently a postdoc researcher at Eindhoven University of Technology.
Recent Publications
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Simone Mariano,Riccardo Bertollo,Romain Postoyan,Luca Zaccarian
Hybrid coupling rules for leaderless heterogeneous oscillators
Automatica (2024) -
Riccardo Bertollo,Andrew R. Teel,Luca Zaccarian
Soft-Reset Control with Max-of-Quadratics Lyapunov Certificates
IEEE Transactions on Automatic Control (2023) -
Riccardo Bertollo,Pablo Millán,Luis Orihuela,Alexandre Seuret,Luca Zaccarian
Distributed Hybrid Observer With Prescribed Convergence Rate for a Linear Plant Using Multi-Hop Decomposition
IEEE Control Systems Letters (2023) -
Riccardo Bertollo,Gabriela B. Cáceres,Pablo Millán,Mario Pereira Martín,Luca Zaccarian
A hybrid dynamical systems approach to smart irrigation
IFAC-PapersOnLine (2022) -
R. Bertollo,Michael Schwegel,A. Kugi,L. Zaccarian
Reset-control-based current tracking for a solenoid with unknown parameters
IFAC-PapersOnLine (2021)
Ancillary Activities
No ancillary activities