Marcello Farina
Orcid: 0000-0003-4209-9152
According to our database1,
Marcello Farina
authored at least 107 papers
between 2006 and 2025.
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Bibliography
2025
Data-driven control of echo state-based recurrent neural networks with robust stability guarantees.
Syst. Control. Lett., 2025
Autom., 2025
2024
An Incremental Input-to-State Stability Condition for a Class of Recurrent Neural Networks.
IEEE Trans. Autom. Control., April, 2024
Autom., January, 2024
LMI-Based Design of a Robust Model Predictive Controller for a Class of Recurrent Neural Networks With Guaranteed Properties.
IEEE Control. Syst. Lett., 2024
Stochastic MPC for Linear Systems With Unbounded Multiplicative Noise Guaranteeing Closed-Loop Chance Constraints Satisfaction.
IEEE Control. Syst. Lett., 2024
Moving horizon partition-based state estimation of large-scale systems - Revised version.
CoRR, 2024
LMI-Based Control Design with Robust Local Stability Guarantees for Linear Discrete-Time Systems with Input Saturations.
Proceedings of the European Control Conference, 2024
Modeling and predictive control of networked systems via physics-informed neural networks.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024
2023
Virtual reference feedback tuning for linear discrete-time systems with robust stability guarantees based on set membership.
Autom., November, 2023
Eur. J. Control, July, 2023
Data-Based Control Design for Output-Error Linear Discrete-Time Systems With Probabilistic Stability Guarantees.
IEEE Control. Syst. Lett., 2023
An optimal hierarchical control scheme for smart generation units: an application to combined steam and electricity generation.
CoRR, 2023
Deep Long-Short Term Memory networks: Stability properties and Experimental validation.
Proceedings of the European Control Conference, 2023
2022
A Hierarchical Architecture for Optimal Unit Commitment and Control of an Ensemble of Steam Generators.
IEEE Trans. Control. Syst. Technol., 2022
An incremental input-to-state stability condition for a generic class of recurrent neural networks.
CoRR, 2022
Robust offset-free nonlinear model predictive control for systems learned by neural nonlinear autoregressive exogenous models.
CoRR, 2022
Robust multi-rate predictive control using multi-step prediction models learned from data.
Autom., 2022
Recurrent Neural Network controllers learned using Virtual Reference Feedback Tuning with application to an Electronic Throttle Body.
Proceedings of the European Control Conference, 2022
Proceedings of the European Control Conference, 2022
Data-based control design for linear discrete-time systems with robust stability guarantees.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
Proceedings of the 61st IEEE Conference on Decision and Control, 2022
2021
Model-based fault isolability and isolation of persistent faults: Centralized and distributed implementations.
Syst. Control. Lett., 2021
Syst. Control. Lett., 2021
On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments.
CoRR, 2021
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
2020
A Hierarchical MPC Scheme for Coordination of Independent Systems With Shared Resources and Plug-and-Play Capabilities.
IEEE Trans. Control. Syst. Technol., 2020
Design of Aggregators for the Day-Ahead Management of Microgrids Providing Active and Reactive Power Services.
IEEE Trans. Control. Syst. Technol., 2020
Nonlinear Model Predictive Control with Enhanced Actuator Model for Multi-Rotor Aerial Vehicles with Generic Designs.
J. Intell. Robotic Syst., 2020
CoRR, 2020
CoRR, 2020
A feedback linearisation algorithm for single-track models with structural stability properties.
CoRR, 2020
LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
2019
Distributed Fault Detection for Interconnected Large-Scale Systems: A Scalable Plug & Play Approach.
IEEE Trans. Control. Netw. Syst., 2019
Model Predictive Control Design for Dynamical Systems Learned by Echo State Networks.
IEEE Control. Syst. Lett., 2019
Nonlinear Model Predictive Control with Actuator Constraints for Multi-Rotor Aerial Vehicles.
CoRR, 2019
Model predictive control design for dynamical systems learned by Long Short-Term Memory Networks.
CoRR, 2019
Autom., 2019
An optimal control of start-up for nonlinear fire-tube boilers with thermal stress constraints.
Proceedings of the 17th European Control Conference, 2019
Online Nonlinear Model Predictive Control for tethered UAVs to perform a safe and constrained maneuver.
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 17th European Control Conference, 2019
Proceedings of the 58th IEEE Conference on Decision and Control, 2019
2018
IEEE Trans. Control. Syst. Technol., 2018
Stochastic Distributed Predictive Tracking Control for Networks of Autonomous Systems With Coupling Constraints.
IEEE Trans. Control. Netw. Syst., 2018
IEEE Trans. Control. Netw. Syst., 2018
Proceedings of the 16th European Control Conference, 2018
Proceedings of the 16th European Control Conference, 2018
A hierarchical optimization-based scheme for combined Fire-tube Boiler/CHP generation units.
Proceedings of the 16th European Control Conference, 2018
Proceedings of the 16th European Control Conference, 2018
Proceedings of the 57th IEEE Conference on Decision and Control, 2018
2017
A hierarchical multirate MPC scheme for interconnected systems - $\textit{extended version}$.
CoRR, 2017
2016
Assessment and comparison of distributed model predictive control schemes: Application to a natural gas refrigeration plant.
Comput. Chem. Eng., 2016
Model predictive control of linear systems with multiplicative unbounded uncertainty and chance constraints.
Autom., 2016
Proceedings of the 55th IEEE Conference on Decision and Control, 2016
Proceedings of the 2016 American Control Conference, 2016
Distributed state estimation for independent linear systems with relative and absolute measurements.
Proceedings of the 2016 American Control Conference, 2016
2015
Application of distributed predictive control to motion and coordination problems for unicycle autonomous robots.
Robotics Auton. Syst., 2015
Plug-and-play state estimation and application to distributed output-feedback model predictive control.
Eur. J. Control, 2015
Autom., 2015
Proceedings of the 54th IEEE Conference on Decision and Control, 2015
Proceedings of the American Control Conference, 2015
2014
IEEE Trans. Control. Syst. Technol., 2014
IEEE Trans. Control. Syst. Technol., 2014
Syst. Control. Lett., 2014
An MPC approach to output-feedback control of stochastic linear discrete-time systems.
CoRR, 2014
Autom., 2014
Stochastic distributed Predictive Control of independent systems with coupling constraints.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 2014 IEEE Conference on Control Applications, 2014
2013
IEEE Trans. Autom. Control., 2013
IEEE Trans. Autom. Control., 2013
An MPC-based reference governor approach for offset-free control of constrained linear systems.
Int. J. Control, 2013
Model predictive control of voltage profiles in MV networks with distributed generation.
CoRR, 2013
Proceedings of the 12th European Control Conference, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Design of plug-and-play model predictive control: An approach based on linear programming.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
2012
Identification of polynomial input/output recursive models with simulation error minimisation methods.
Int. J. Syst. Sci., 2012
Distributed predictive control: A non-cooperative algorithm with neighbor-to-neighbor communication for linear systems.
Autom., 2012
Proceedings of the 7th IFAC Symposium on Robust Control Design, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
Proceedings of the American Control Conference, 2012
2011
J. Bioinform. Comput. Biol., 2011
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011
2010
IEEE Trans. Autom. Control., 2010
An iterative algorithm for simulation error based identification of polynomial input-output models using multi-step prediction.
Int. J. Control, 2010
Convergence properties of an iterative prediction approach to nonlinear SEM parameter estimation.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010
Proceedings of the American Control Conference, 2010
Proceedings of the American Control Conference, 2010
2009
Eng. Appl. Artif. Intell., 2009
Proceedings of the 48th IEEE Conference on Decision and Control, 2009
2008
Identifikation biochemischer Reaktionsnetzwerke: Ein beobachterbasierter Ansatz (Identification of Biochemical Reaction Networks: An Observer based Approach).
Autom., 2008
Proceedings of the 47th IEEE Conference on Decision and Control, 2008
2007
Hybrid Models for Gene Regulatory Networks: The Case of <i>lac</i> Operon in E. Coli.
Proceedings of the Hybrid Systems: Computation and Control, 10th International Workshop, 2007
2006
Proceedings of the 45th IEEE Conference on Decision and Control, 2006