Marcello Farina

According to our database1, Marcello Farina authored at least 100 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Nonlinear MPC design for incrementally ISS systems with application to GRU networks.
Autom., January, 2024

Moving horizon partition-based state estimation of large-scale systems - Revised version.
CoRR, 2024

2023
Virtual reference feedback tuning for linear discrete-time systems with robust stability guarantees based on set membership.
Autom., November, 2023

A novel distributed algorithm for estimation and control of large-scale systems.
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

Remote MPC for Tracking Over Lossy Networks.
IEEE Control. Syst. Lett., 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

Towards lifelong learning of Recurrent Neural Networks for control design.
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

An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models.
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

On the stability properties of Gated Recurrent Units neural networks.
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

Stability of discrete-time feed-forward neural networks in NARX configuration.
CoRR, 2020

A Hierarchical Architecture for the Coordination of an Ensemble of Steam Generators.
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

Scenario optimization for optimal training of Echo State Networks.
CoRR, 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

Learning-based predictive control for linear systems: A unitary approach.
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

Echo State Networks: analysis, training and predictive control.
Proceedings of the 17th European Control Conference, 2019

Learning-based predictive control for MIMO systems.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
A Two-Layer Stochastic Model Predictive Control Scheme for Microgrids.
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

Partition-Based Distributed Kalman Filter With Plug and Play Features.
IEEE Trans. Control. Netw. Syst., 2018

On multi-step prediction models for receding horizon control.
CoRR, 2018

A hierarchical multi-rate MPC scheme for interconnected systems.
Autom., 2018

Robust predictive control with data-based multi-step prediction models.
Proceedings of the 16th European Control Conference, 2018

Learning multi-step prediction models for receding horizon control.
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

Microgrids aggregation management providing ancillary services.
Proceedings of the 16th European Control Conference, 2018

A Multirate Hierarchical MPC Scheme for Ensemble Systems.
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

A hierarchical MPC scheme for interconnected systems.
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

Scalable monitoring of interconnected stochastic systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Distributed Predictive Control of stochastic linear systems with chance constraints.
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

An approach to output-feedback MPC of stochastic linear discrete-time systems.
Autom., 2015

Plug and play partition-based state estimation based on Kalman filter.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Two-layer predictive control of a micro-grid including stochastic energy sources.
Proceedings of the American Control Conference, 2015

2014
An Approach to Distributed Predictive Control for Tracking-Theory and Applications.
IEEE Trans. Control. Syst. Technol., 2014

Development of a Control-Oriented Model of Floating Wind Turbines.
IEEE Trans. Control. Syst. Technol., 2014

Distributed predictive control of continuous-time systems.
Syst. Control. Lett., 2014

An MPC approach to output-feedback control of stochastic linear discrete-time systems.
CoRR, 2014

Plug-and-play model predictive control based on robust control invariant sets.
Autom., 2014

Stochastic distributed Predictive Control of independent systems with coupling constraints.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

Fault detection of bearings in a drive reducer of a hot steel rolling mill.
Proceedings of the 2014 IEEE Conference on Control Applications, 2014

2013
Plug-and-Play Decentralized Model Predictive Control for Linear Systems.
IEEE Trans. Autom. Control., 2013

A Robust MPC Algorithm for Offset-Free Tracking of Constant Reference Signals.
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

Block-wise discretization accounting for structural constraints.
Autom., 2013

A solution to the tracking problem using distributed predictive control.
Proceedings of the 12th European Control Conference, 2013

Plug-and-play distributed state estimation for linear systems.
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

A probabilistic approach to Model Predictive Control.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Decentralized predictive control for tracking constant references.
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

Tube-based robust sampled-data MPC for linear continuous-time systems.
Autom., 2012

Distributed predictive control: A non-cooperative algorithm with neighbor-to-neighbor communication for linear systems.
Autom., 2012

A Note on Discretization of Sparce Linear Systems.
Proceedings of the 7th IFAC Symposium on Robust Control Design, 2012

Plug-and-Play decentralized Model Predictive Control.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

An MPC algorithm for offset-free tracking of constant reference signals.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Distributed predictive control for tracking constant references.
Proceedings of the American Control Conference, 2012

2011
Computational Challenges of Tumor Spheroid Modeling.
J. Bioinform. Comput. Biol., 2011

Modular model of TNFα cytotoxicity.
Bioinform., 2011

An output feedback distributed predictive control algorithm.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Distributed Moving Horizon Estimation for Linear Constrained Systems.
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

Moving-horizon partition-based state estimation of large-scale systems.
Autom., 2010

Convergence properties of an iterative prediction approach to nonlinear SEM parameter estimation.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Approximate SEM identification of polynomial input-output models.
Proceedings of the American Control Conference, 2010

State estimation for large-scale partitioned systems: a moving horizon approach.
Proceedings of the American Control Conference, 2010

2009
Control of clock signals.
J. Frankl. Inst., 2009

An Observer for Mass-action Chemical Reaction Networks.
Eur. J. Control, 2009

Forecasting peak air pollution levels using NARX models.
Eng. Appl. Artif. Intell., 2009

A moving horizon scheme for distributed state estimation.
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

Some convergence properties of multi-step prediction error identification criteria.
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
Results Towards Identifiability Properties of Biochemical Reaction Networks.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006


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