Marcello Farina

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 69

Top Venues

Publications

William D'Amico, Simone Zanini, Alessio La Bella, Marcello Farina
LMI-Based Control Design with Robust Local Stability Guarantees for Linear Discrete-Time Systems with Input Saturations. ECC (2024)
William D'Amico, Alessio La Bella, Marcello Farina
An Incremental Input-to-State Stability Condition for a Class of Recurrent Neural Networks. IEEE Trans. Autom. Control. 69 (4) (2024)
Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini
Moving horizon partition-based state estimation of large-scale systems - Revised version. CoRR (2024)
Fabio Bonassi, Alessio La Bella, Marcello Farina, Riccardo Scattolini
Nonlinear MPC design for incrementally ISS systems with application to GRU networks. Autom. 159 (2024)
Daniele Ravasio, Marcello Farina, Andrea Ballarino
LMI-Based Design of a Robust Model Predictive Controller for a Class of Recurrent Neural Networks With Guaranteed Properties. IEEE Control. Syst. Lett. 8 (2024)
Fabio Bonassi, Alessio La Bella, Giulio Panzani, Marcello Farina, Riccardo Scattolini
Deep Long-Short Term Memory networks: Stability properties and Experimental validation. CoRR (2023)
Stefano Spinelli, Marcello Farina, Andrea Ballarino
An optimal hierarchical control scheme for smart generation units: an application to combined steam and electricity generation. CoRR (2023)
Fabio Bonassi, Alessio La Bella, Giulio Panzani, Marcello Farina, Riccardo Scattolini
Deep Long-Short Term Memory networks: Stability properties and Experimental validation. ECC (2023)
William D'Amico, Andrea Bisoffi, Marcello Farina
Data-Based Control Design for Output-Error Linear Discrete-Time Systems With Probabilistic Stability Guarantees. IEEE Control. Syst. Lett. 7 (2023)
Fabio Bonassi, Alessio La Bella, Marcello Farina, Riccardo Scattolini
Nonlinear MPC design for incrementally ISS systems with application to GRU networks. CoRR (2023)
Stefano Spinelli, Marcello Farina, Andrea Ballarino
A Hierarchical Architecture for Optimal Unit Commitment and Control of an Ensemble of Steam Generators. CoRR (2023)
Marcello Farina, Marco Rocca
A novel distributed algorithm for estimation and control of large-scale systems. Eur. J. Control 72 (2023)
William D'Amico, Marcello Farina
Virtual reference feedback tuning for linear discrete-time systems with robust stability guarantees based on set membership. Autom. 157 (2023)
William D'Amico, Alessio La Bella, Marcello Farina
An incremental input-to-state stability condition for a generic class of recurrent neural networks. CoRR (2022)
Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini
Robust multi-rate predictive control using multi-step prediction models learned from data. Autom. 136 (2022)
William D'Amico, Marcello Farina
Data-based control design for linear discrete-time systems with robust stability guarantees. CDC (2022)
Stefano Spinelli, Marcello Farina, Andrea Ballarino
A Hierarchical Architecture for Optimal Unit Commitment and Control of an Ensemble of Steam Generators. IEEE Trans. Control. Syst. Technol. 30 (3) (2022)
William D'Amico, Marcello Farina
Virtual Reference Feedback Tuning for linear discrete-time systems with robust stability guarantees. CoRR (2022)
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
Towards lifelong learning of Recurrent Neural Networks for control design. ECC (2022)
Matthias Pezzutto, Marcello Farina, Ruggero Carli, Luca Schenato
Remote MPC for Tracking Over Lossy Networks. IEEE Control. Syst. Lett. 6 (2022)
Jing Xie, Fabio Bonassi, Marcello Farina, Riccardo Scattolini
Robust offset-free nonlinear model predictive control for systems learned by neural nonlinear autoregressive exogenous models. CoRR (2022)
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. CoRR (2022)
William D'Amico, Marcello Farina, Giulio Panzani
Recurrent Neural Network controllers learned using Virtual Reference Feedback Tuning with application to an Electronic Throttle Body. ECC (2022)
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. CDC (2022)
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
Towards lifelong learning of Recurrent Neural Networks for control design. CoRR (2022)
Marcello Farina, Andrea Caspani
Model-based fault isolability and isolation of persistent faults: Centralized and distributed implementations. Syst. Control. Lett. 156 (2021)
Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
Robust multi-rate predictive control using multi-step prediction models learned from data. CoRR (2021)
Fabio Bonassi, Marcello Farina, Riccardo Scattolini
On the stability properties of Gated Recurrent Units neural networks. Syst. Control. Lett. 157 (2021)
William D'Amico, Marcello Farina, Giulio Panzani
Advanced control based on Recurrent Neural Networks learned using Virtual Reference Feedback Tuning and application to an Electronic Throttle Body (with supplementary material). CoRR (2021)
Fabio Bonassi, Marcello Farina, Jing Xie, Riccardo Scattolini
On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments. CoRR (2021)
Davide Bicego, Jacopo Mazzetto, Ruggero Carli, Marcello Farina, Antonio Franchi
Nonlinear Model Predictive Control with Enhanced Actuator Model for Multi-Rotor Aerial Vehicles with Generic Designs. J. Intell. Robotic Syst. 100 (3) (2020)
Stefano Spinelli, Elia Longoni, Marcello Farina, Felix Petzke, Stefan Streif, Andrea Ballarino
A Hierarchical Architecture for the Coordination of an Ensemble of Steam Generators. CoRR (2020)
Luca Bascetta, Marcello Farina, Alessandro Gabrielli, Matteo Matteucci
A feedback linearisation algorithm for single-track models with structural stability properties. CoRR (2020)
Alessio La Bella, Marcello Farina, Carlo Sandroni, Riccardo Scattolini
Design of Aggregators for the Day-Ahead Management of Microgrids Providing Active and Reactive Power Services. IEEE Trans. Control. Syst. Technol. 28 (6) (2020)
Marcello Farina, Xinglong Zhang, Riccardo Scattolini
A Hierarchical MPC Scheme for Coordination of Independent Systems With Shared Resources and Plug-and-Play Capabilities. IEEE Trans. Control. Syst. Technol. 28 (2) (2020)
Fabio Bonassi, Marcello Farina, Riccardo Scattolini
On the stability properties of Gated Recurrent Units neural networks. CoRR (2020)
Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini
LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification. L4DC (2020)
Fabio Bonassi, Marcello Farina, Riccardo Scattolini
Stability of discrete-time feed-forward neural networks in NARX configuration. CoRR (2020)
Luca Bugliari Armenio, Enrico Terzi, Marcello Farina, Riccardo Scattolini
Model Predictive Control Design for Dynamical Systems Learned by Echo State Networks. IEEE Control. Syst. Lett. 3 (4) (2019)
Luca Bugliari Armenio, Enrico Terzi, Marcello Farina, Riccardo Scattolini
Echo State Networks: analysis, training and predictive control. ECC (2019)
Enrico Terzi, Marcello Farina, Riccardo Scattolini
Model predictive control design for dynamical systems learned by Long Short-Term Memory Networks. CoRR (2019)
Stefano Spinelli, Marcello Farina, Andrea Ballarino
An optimal control of start-up for nonlinear fire-tube boilers with thermal stress constraints. ECC (2019)
Jose R. Salvador, Enrico Terzi, Marcello Farina, Daniel R. Ramírez, Lorenzo Fagiano, David Muñoz de la Peña, Riccardo Scattolini
Learning-based predictive control for MIMO systems. CDC (2019)
Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini
LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification. CoRR (2019)
Enrica Rossi, Mattia Bruschetta, Ruggero Carli, Yutao Chen, Marcello Farina
Online Nonlinear Model Predictive Control for tethered UAVs to perform a safe and constrained maneuver. ECC (2019)
Davide Bicego, Jacopo Mazzetto, Ruggero Carli, Marcello Farina, Antonio Franchi
Nonlinear Model Predictive Control with Actuator Constraints for Multi-Rotor Aerial Vehicles. CoRR (2019)
Luca Bugliari Armenio, Enrico Terzi, Marcello Farina, Riccardo Scattolini
Echo State Networks: analysis, training and predictive control. CoRR (2019)
Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
Learning-based predictive control for linear systems: A unitary approach. Autom. 108 (2019)
Luca Bugliari Armenio, Lorenzo Fagiano, Enrico Terzi, Marcello Farina, Riccardo Scattolini
Scenario optimization for optimal training of Echo State Networks. CoRR (2019)
Francesca Boem, Ruggero Carli, Marcello Farina, Giancarlo Ferrari-Trecate, Thomas Parisini
Distributed Fault Detection for Interconnected Large-Scale Systems: A Scalable Plug & Play Approach. IEEE Trans. Control. Netw. Syst. 6 (2) (2019)
Alessio La Bella, Marcello Farina, Carlo Sandroni, Riccardo Scattolini
Microgrids aggregation management providing ancillary services. ECC (2018)
Felix Petzke, Marcello Farina, Stefan Streif
A Multirate Hierarchical MPC Scheme for Ensemble Systems. CDC (2018)
Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
Learning-based predictive control for linear systems: a unitary approach. CoRR (2018)
Alessio La Bella, Marcello Farina, Carlo Sandroni, Riccardo Scattolini
Design of aggregators for the day-ahead management of microgrids providing active and reactive power services. CoRR (2018)
Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
On multi-step prediction models for receding horizon control. CoRR (2018)
Stefano Spinelli, Marcello Farina, Andrea Ballarino
A hierarchical optimization-based scheme for combined Fire-tube Boiler/CHP generation units. ECC (2018)
Marcello Farina, Ruggero Carli
Partition-Based Distributed Kalman Filter With Plug and Play Features. IEEE Trans. Control. Netw. Syst. 5 (1) (2018)
Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini
Robust predictive control with data-based multi-step prediction models. ECC (2018)
Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
Learning multi-step prediction models for receding horizon control. ECC (2018)
Stefano Raimondi Cominesi, Marcello Farina, Luca Giulioni, Bruno Picasso, Riccardo Scattolini
A Two-Layer Stochastic Model Predictive Control Scheme for Microgrids. IEEE Trans. Control. Syst. Technol. 26 (1) (2018)
Marcello Farina, Simone Misiano
Stochastic Distributed Predictive Tracking Control for Networks of Autonomous Systems With Coupling Constraints. IEEE Trans. Control. Netw. Syst. 5 (3) (2018)
Marcello Farina, Xinglong Zhang, Riccardo Scattolini
A hierarchical multi-rate MPC scheme for interconnected systems. Autom. 90 (2018)
Marcello Farina, Xinglong Zhang, Riccardo Scattolini
A hierarchical MPC scheme for interconnected systems. CoRR (2017)
Marcello Farina, Xinglong Zhang, Riccardo Scattolini
A hierarchical multirate MPC scheme for interconnected systems - $\textit{extended version}$. CoRR (2017)
Marcello Farina, Luca Giulioni, Riccardo Scattolini
Distributed Predictive Control of stochastic linear systems with chance constraints. ACC (2016)
Francesca Boem, Ruggero Carli, Marcello Farina, Giancarlo Ferrari-Trecate, Thomas Parisini
Scalable monitoring of interconnected stochastic systems. CDC (2016)
Marcello Farina, Ruggero Carli
Distributed state estimation for independent linear systems with relative and absolute measurements. ACC (2016)
Marcello Farina, Riccardo Scattolini
Model predictive control of linear systems with multiplicative unbounded uncertainty and chance constraints. Autom. 70 (2016)
Marcello Farina, Giacomo P. Ferrari, Flavio Manenti, Emiliano Pizzi
Assessment and comparison of distributed model predictive control schemes: Application to a natural gas refrigeration plant. Comput. Chem. Eng. 89 (2016)
Marcello Farina, Ruggero Carli
Plug and play partition-based state estimation based on Kalman filter. CDC (2015)
Marcello Farina, Andrea Perizzato, Riccardo Scattolini
Application of distributed predictive control to motion and coordination problems for unicycle autonomous robots. Robotics Auton. Syst. 72 (2015)
Marcello Farina, Ruggero Carli
Partition-based Distributed Kalman Filter with plug and play features. CoRR (2015)
Marcello Farina, Luca Giulioni, Lalo Magni, Riccardo Scattolini
An approach to output-feedback MPC of stochastic linear discrete-time systems. Autom. 55 (2015)
Stefano Riverso, Marcello Farina, Giancarlo Ferrari-Trecate
Plug-and-play state estimation and application to distributed output-feedback model predictive control. Eur. J. Control 25 (2015)
Stefano Raimondi Cominesi, Marcello Farina, Luca Giulioni, Bruno Picasso, Riccardo Scattolini
Two-layer predictive control of a micro-grid including stochastic energy sources. ACC (2015)
Marcello Farina, Giulio Betti, Riccardo Scattolini
Distributed predictive control of continuous-time systems. Syst. Control. Lett. 74 (2014)
Stefano Riverso, Marcello Farina, Giancarlo Ferrari-Trecate
Plug-and-play model predictive control based on robust control invariant sets. Autom. 50 (8) (2014)
Andrea Perizzato, Marcello Farina, Luigi Piroddi, Riccardo Scattolini, E. Osto
Fault detection of bearings in a drive reducer of a hot steel rolling mill. CCA (2014)
Giulio Betti, Marcello Farina, Giuseppe A. Guagliardi, Andrea Marzorati, Riccardo Scattolini
Development of a Control-Oriented Model of Floating Wind Turbines. IEEE Trans. Control. Syst. Technol. 22 (1) (2014)
Marcello Farina, Luca Giulioni, Lalo Magni, Riccardo Scattolini
An MPC approach to output-feedback control of stochastic linear discrete-time systems. CoRR (2014)
Marcello Farina, Giulio Betti, Luca Giulioni, Riccardo Scattolini
An Approach to Distributed Predictive Control for Tracking-Theory and Applications. IEEE Trans. Control. Syst. Technol. 22 (4) (2014)
Andrea Perizzato, Marcello Farina, Riccardo Scattolini
Stochastic distributed Predictive Control of independent systems with coupling constraints. CDC (2014)
Marcello Farina, Luca Giulioni, Lalo Magni, Riccardo Scattolini
A probabilistic approach to Model Predictive Control. CDC (2013)
Marcello Farina, Antonio Guagliardi, Federico Mariani, Carlo Sandroni, Riccardo Scattolini
Model predictive control of voltage profiles in MV networks with distributed generation. CoRR (2013)
Marcello Farina, Giulio Betti, Riccardo Scattolini
A solution to the tracking problem using distributed predictive control. ECC (2013)
Stefano Riverso, Marcello Farina, Giancarlo Ferrari-Trecate
Plug-and-Play Decentralized Model Predictive Control CoRR (2013)
Giulio Betti, Marcello Farina, Riccardo Scattolini
A Robust MPC Algorithm for Offset-Free Tracking of Constant Reference Signals. IEEE Trans. Autom. Control. 58 (9) (2013)
Marcello Farina, Patrizio Colaneri, Riccardo Scattolini
Block-wise discretization accounting for structural constraints. Autom. 49 (11) (2013)
Stefano Riverso, Marcello Farina, Riccardo Scattolini, Giancarlo Ferrari-Trecate
Plug-and-play distributed state estimation for linear systems. CDC (2013)
Stefano Riverso, Marcello Farina, Giancarlo Ferrari-Trecate
Design of plug-and-play model predictive control: An approach based on linear programming. CDC (2013)
Stefano Riverso, Marcello Farina, Giancarlo Ferrari-Trecate
Plug-and-Play Decentralized Model Predictive Control for Linear Systems. IEEE Trans. Autom. Control. 58 (10) (2013)
Stefano Riverso, Marcello Farina, Riccardo Scattolini, Giancarlo Ferrari-Trecate
Plug-and-play distributed state estimation for linear systems. CoRR (2013)
Shahram Aghaei, Farid Sheikholeslam, Marcello Farina, Riccardo Scattolini
An MPC-based reference governor approach for offset-free control of constrained linear systems. Int. J. Control 86 (9) (2013)
Giulio Betti, Marcello Farina, Riccardo Scattolini
Decentralized predictive control for tracking constant references. CDC (2013)
Giulio Betti, Marcello Farina, Riccardo Scattolini
Distributed predictive control for tracking constant references. ACC (2012)
Stefano Riverso, Marcello Farina, Giancarlo Ferrari-Trecate
Plug-and-Play decentralized Model Predictive Control. CDC (2012)
Patrizio Colaneri, Marcello Farina, Riccardo Scattolini, Robert Shorten
A Note on Discretization of Sparce Linear Systems. ROCOND (2012)
Marcello Farina, Riccardo Scattolini
Distributed predictive control: A non-cooperative algorithm with neighbor-to-neighbor communication for linear systems. Autom. 48 (6) (2012)
Marcello Farina, Luigi Piroddi
Identification of polynomial input/output recursive models with simulation error minimisation methods. Int. J. Syst. Sci. 43 (2) (2012)
Stefano Riverso, Marcello Farina, Giancarlo Ferrari-Trecate
Plug-and-Play Model Predictive Control based on robust control invariant sets CoRR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marcello Farina