Results Towards Identifiability Properties of Biochemical Reaction Networks. - Marcello Farina; Rolf Findeisen; Eric Bullinger; Sergio Bittanti; Frank Allgöwer; Peter Wellstead (CDC, 2006)

Hybrid Models for Gene Regulatory Networks: The Case of lac Operon in E. Coli. - Marcello Farina; Maria Prandini (HSCC, 2007)

Some convergence properties of multi-step prediction error identification criteria. - Marcello Farina; Luigi Piroddi (CDC, 2008)

Identifikation biochemischer Reaktionsnetzwerke: Ein beobachterbasierter Ansatz (Identification of Biochemical Reaction Networks: An Observer based Approach). - Eric Bullinger; Dirk Fey; Marcello Farina; Rolf Findeisen (Autom., 2008)

A moving horizon scheme for distributed state estimation. - Marcello Farina; Giancarlo Ferrari-Trecate; Riccardo Scattolini (CDC, 2009)

Forecasting peak air pollution levels using NARX models. - Enrico Pisoni; Marcello Farina; Claudio Carnevale; Luigi Piroddi (Eng. Appl. Artif. Intell., 2009)

An Observer for Mass-action Chemical Reaction Networks. - Marcello Farina; Sergio Bittanti (Eur. J. Control, 2009)

Control of clock signals. - Marcello Farina; Sergio Bittanti; Patrizia Tavella; Lorenzo Galleani (J. Frankl. Inst., 2009)

State estimation for large-scale partitioned systems: a moving horizon approach. - Marcello Farina; Giancarlo Ferrari-Trecate; Riccardo Scattolini (ACC, 2010)

Approximate SEM identification of polynomial input-output models. - Marcello Farina; Luigi Piroddi (ACC, 2010)

Convergence properties of an iterative prediction approach to nonlinear SEM parameter estimation. - Marcello Farina; Luigi Piroddi (CDC, 2010)

Moving-horizon partition-based state estimation of large-scale systems. - Marcello Farina; Giancarlo Ferrari-Trecate; Riccardo Scattolini (Autom., 2010)

An iterative algorithm for simulation error based identification of polynomial input-output models using multi-step prediction. - Marcello Farina; Luigi Piroddi (Int. J. Control, 2010)

Distributed Moving Horizon Estimation for Linear Constrained Systems. - Marcello Farina; Giancarlo Ferrari-Trecate; Riccardo Scattolini (IEEE Trans. Autom. Control., 2010)

An output feedback distributed predictive control algorithm. - Marcello Farina; Riccardo Scattolini (CDC/ECC, 2011)

Modular model of TNFα cytotoxicity. - Roberto Chignola; Vladislav Vyshemirsky; Marcello Farina; Alessio Del Fabbro; Edoardo Milotti (Bioinform., 2011)

Computational Challenges of Tumor Spheroid Modeling. - Roberto Chignola; Alessio Del Fabbro; Marcello Farina; Edoardo Milotti (J. Bioinform. Comput. Biol., 2011)

Distributed predictive control for tracking constant references. - Giulio Betti; Marcello Farina; Riccardo Scattolini (ACC, 2012)

An MPC algorithm for offset-free tracking of constant reference signals. - Giulio Betti; Marcello Farina; Riccardo Scattolini (CDC, 2012)

Plug-and-Play decentralized Model Predictive Control. - Stefano Riverso; Marcello Farina; Giancarlo Ferrari-Trecate (CDC, 2012)

A Note on Discretization of Sparce Linear Systems. - Patrizio Colaneri; Marcello Farina; Riccardo Scattolini; Robert Shorten (ROCOND, 2012)

Distributed predictive control: A non-cooperative algorithm with neighbor-to-neighbor communication for linear systems. - Marcello Farina; Riccardo Scattolini (Autom., 2012)

Tube-based robust sampled-data MPC for linear continuous-time systems. - Marcello Farina; Riccardo Scattolini (Autom., 2012)

Identification of polynomial input/output recursive models with simulation error minimisation methods. - Marcello Farina; Luigi Piroddi (Int. J. Syst. Sci., 2012)

Decentralized predictive control for tracking constant references. - Giulio Betti; Marcello Farina; Riccardo Scattolini (CDC, 2013)

A probabilistic approach to Model Predictive Control. - Marcello Farina; Luca Giulioni; Lalo Magni; Riccardo Scattolini (CDC, 2013)

Design of plug-and-play model predictive control: An approach based on linear programming. - Stefano Riverso; Marcello Farina; Giancarlo Ferrari-Trecate (CDC, 2013)

Plug-and-play distributed state estimation for linear systems. - Stefano Riverso; Marcello Farina; Riccardo Scattolini; Giancarlo Ferrari-Trecate (CDC, 2013)

A solution to the tracking problem using distributed predictive control. - Marcello Farina; Giulio Betti; Riccardo Scattolini (ECC, 2013)

Block-wise discretization accounting for structural constraints. - Marcello Farina; Patrizio Colaneri; Riccardo Scattolini (Autom., 2013)

Model predictive control of voltage profiles in MV networks with distributed generation. - Marcello Farina; Antonio Guagliardi; Federico Mariani; Carlo Sandroni; Riccardo Scattolini (CoRR, 2013)

An MPC-based reference governor approach for offset-free control of constrained linear systems. - Shahram Aghaei; Farid Sheikholeslam; Marcello Farina; Riccardo Scattolini (Int. J. Control, 2013)

A Robust MPC Algorithm for Offset-Free Tracking of Constant Reference Signals. - Giulio Betti; Marcello Farina; Riccardo Scattolini (IEEE Trans. Autom. Control., 2013)

Plug-and-Play Decentralized Model Predictive Control for Linear Systems. - Stefano Riverso; Marcello Farina; Giancarlo Ferrari-Trecate (IEEE Trans. Autom. Control., 2013)

Fault detection of bearings in a drive reducer of a hot steel rolling mill. - Andrea Perizzato; Marcello Farina; Luigi Piroddi; Riccardo Scattolini; E. Osto (CCA, 2014)

Stochastic distributed Predictive Control of independent systems with coupling constraints. - Andrea Perizzato; Marcello Farina; Riccardo Scattolini (CDC, 2014)

Plug-and-play model predictive control based on robust control invariant sets. - Stefano Riverso; Marcello Farina; Giancarlo Ferrari-Trecate (Autom., 2014)

An MPC approach to output-feedback control of stochastic linear discrete-time systems. - Marcello Farina; Luca Giulioni; Lalo Magni; Riccardo Scattolini (CoRR, 2014)

Distributed predictive control of continuous-time systems. - Marcello Farina; Giulio Betti; Riccardo Scattolini (Syst. Control. Lett., 2014)

Development of a Control-Oriented Model of Floating Wind Turbines. - Giulio Betti; Marcello Farina; Giuseppe A. Guagliardi; Andrea Marzorati; Riccardo Scattolini (IEEE Trans. Control. Syst. Technol., 2014)

An Approach to Distributed Predictive Control for Tracking-Theory and Applications. - Marcello Farina; Giulio Betti; Luca Giulioni; Riccardo Scattolini (IEEE Trans. Control. Syst. Technol., 2014)

Two-layer predictive control of a micro-grid including stochastic energy sources. - Stefano Raimondi Cominesi; Marcello Farina; Luca Giulioni; Bruno Picasso; Riccardo Scattolini (ACC, 2015)

Plug and play partition-based state estimation based on Kalman filter. - Marcello Farina; Ruggero Carli (CDC, 2015)

An approach to output-feedback MPC of stochastic linear discrete-time systems. - Marcello Farina; Luca Giulioni; Lalo Magni; Riccardo Scattolini (Autom., 2015)

Plug-and-play state estimation and application to distributed output-feedback model predictive control. - Stefano Riverso; Marcello Farina; Giancarlo Ferrari-Trecate (Eur. J. Control, 2015)

Application of distributed predictive control to motion and coordination problems for unicycle autonomous robots. - Marcello Farina; Andrea Perizzato; Riccardo Scattolini (Robotics Auton. Syst., 2015)

Distributed state estimation for independent linear systems with relative and absolute measurements. - Marcello Farina; Ruggero Carli (ACC, 2016)

Distributed Predictive Control of stochastic linear systems with chance constraints. - Marcello Farina; Luca Giulioni; Riccardo Scattolini (ACC, 2016)

Scalable monitoring of interconnected stochastic systems. - Francesca Boem; Ruggero Carli; Marcello Farina; Giancarlo Ferrari-Trecate; Thomas Parisini (CDC, 2016)

Model predictive control of linear systems with multiplicative unbounded uncertainty and chance constraints. - Marcello Farina; Riccardo Scattolini (Autom., 2016)

Assessment and comparison of distributed model predictive control schemes: Application to a natural gas refrigeration plant. - Marcello Farina; Giacomo P. Ferrari; Flavio Manenti; Emiliano Pizzi (Comput. Chem. Eng., 2016)

A hierarchical MPC scheme for interconnected systems. - Marcello Farina; Xinglong Zhang; Riccardo Scattolini (CoRR, 2017)

A hierarchical multirate MPC scheme for interconnected systems - $ textit{extended version}$. - Marcello Farina; Xinglong Zhang; Riccardo Scattolini (CoRR, 2017)

A Multirate Hierarchical MPC Scheme for Ensemble Systems. - Felix Petzke; Marcello Farina; Stefan Streif (CDC, 2018)

Microgrids aggregation management providing ancillary services. - Alessio La Bella; Marcello Farina; Carlo Sandroni; Riccardo Scattolini (ECC, 2018)

A hierarchical optimization-based scheme for combined Fire-tube Boiler/CHP generation units. - Stefano Spinelli; Marcello Farina; Andrea Ballarino (ECC, 2018)

Learning multi-step prediction models for receding horizon control. - Enrico Terzi; Lorenzo Fagiano; Marcello Farina; Riccardo Scattolini (ECC, 2018)

Robust predictive control with data-based multi-step prediction models. - Enrico Terzi; Marcello Farina; Lorenzo Fagiano; Riccardo Scattolini (ECC, 2018)

A hierarchical multi-rate MPC scheme for interconnected systems. - Marcello Farina; Xinglong Zhang; Riccardo Scattolini (Autom., 2018)

On multi-step prediction models for receding horizon control. - Enrico Terzi; Lorenzo Fagiano; Marcello Farina; Riccardo Scattolini (CoRR, 2018)

Partition-Based Distributed Kalman Filter With Plug and Play Features. - Marcello Farina; Ruggero Carli (IEEE Trans. Control. Netw. Syst., 2018)

Stochastic Distributed Predictive Tracking Control for Networks of Autonomous Systems With Coupling Constraints. - Marcello Farina; Simone Misiano (IEEE Trans. Control. Netw. Syst., 2018)

A Two-Layer Stochastic Model Predictive Control Scheme for Microgrids. - Stefano Raimondi Cominesi; Marcello Farina; Luca Giulioni; Bruno Picasso; Riccardo Scattolini (IEEE Trans. Control. Syst. Technol., 2018)

Learning-based predictive control for MIMO systems. - Jose R. Salvador; Enrico Terzi; Marcello Farina; Daniel R. Ramírez 001; Lorenzo Fagiano; David Muñoz de la Peña; Riccardo Scattolini (CDC, 2019)

Echo State Networks: analysis, training and predictive control. - Luca Bugliari Armenio; Enrico Terzi; Marcello Farina; Riccardo Scattolini (ECC, 2019)

Online Nonlinear Model Predictive Control for tethered UAVs to perform a safe and constrained maneuver. - Enrica Rossi; Mattia Bruschetta; Ruggero Carli; Yutao Chen; Marcello Farina (ECC, 2019)

An optimal control of start-up for nonlinear fire-tube boilers with thermal stress constraints. - Stefano Spinelli; Marcello Farina; Andrea Ballarino (ECC, 2019)

Learning-based predictive control for linear systems: A unitary approach. - Enrico Terzi; Lorenzo Fagiano; Marcello Farina; Riccardo Scattolini (Autom., 2019)

Model predictive control design for dynamical systems learned by Long Short-Term Memory Networks. - Enrico Terzi; Marcello Farina; Riccardo Scattolini (CoRR, 2019)

Nonlinear Model Predictive Control with Actuator Constraints for Multi-Rotor Aerial Vehicles. - Davide Bicego; Jacopo Mazzetto; Ruggero Carli; Marcello Farina; Antonio Franchi (CoRR, 2019)

Scenario optimization for optimal training of Echo State Networks. - Luca Bugliari Armenio; Lorenzo Fagiano; Enrico Terzi; Marcello Farina; Riccardo Scattolini (CoRR, 2019)

Model Predictive Control Design for Dynamical Systems Learned by Echo State Networks. - Luca Bugliari Armenio; Enrico Terzi; Marcello Farina; Riccardo Scattolini (IEEE Control. Syst. Lett., 2019)

Distributed Fault Detection for Interconnected Large-Scale Systems: A Scalable Plug & Play Approach. - Francesca Boem; Ruggero Carli; Marcello Farina; Giancarlo Ferrari-Trecate; Thomas Parisini (IEEE Trans. Control. Netw. Syst., 2019)

LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification. - Fabio Bonassi; Enrico Terzi; Marcello Farina; Riccardo Scattolini (L4DC, 2020)

A feedback linearisation algorithm for single-track models with structural stability properties. - Luca Bascetta; Marcello Farina; Alessandro Gabrielli; Matteo Matteucci (CoRR, 2020)

A Hierarchical Architecture for the Coordination of an Ensemble of Steam Generators. - Stefano Spinelli; Elia Longoni; Marcello Farina; Felix Petzke; Stefan Streif; Andrea Ballarino (CoRR, 2020)

Stability of discrete-time feed-forward neural networks in NARX configuration. - Fabio Bonassi; Marcello Farina; Riccardo Scattolini (CoRR, 2020)

Nonlinear Model Predictive Control with Enhanced Actuator Model for Multi-Rotor Aerial Vehicles with Generic Designs. - Davide Bicego; Jacopo Mazzetto; Ruggero Carli; Marcello Farina; Antonio Franchi (J. Intell. Robotic Syst., 2020)

Design of Aggregators for the Day-Ahead Management of Microgrids Providing Active and Reactive Power Services. - Alessio La Bella; Marcello Farina; Carlo Sandroni; Riccardo Scattolini (IEEE Trans. Control. Syst. Technol., 2020)

A Hierarchical MPC Scheme for Coordination of Independent Systems With Shared Resources and Plug-and-Play Capabilities. - Marcello Farina; Xinglong Zhang; Riccardo Scattolini (IEEE Trans. Control. Syst. Technol., 2020)

Advanced control based on Recurrent Neural Networks learned using Virtual Reference Feedback Tuning and application to an Electronic Throttle Body (with supplementary material). - William D'Amico 001; Marcello Farina; Giulio Panzani (CoRR, 2021)

On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments. - Fabio Bonassi; Marcello Farina; Jing Xie 015; Riccardo Scattolini (CoRR, 2021)

On the stability properties of Gated Recurrent Units neural networks. - Fabio Bonassi; Marcello Farina; Riccardo Scattolini (Syst. Control. Lett., 2021)

Model-based fault isolability and isolation of persistent faults: Centralized and distributed implementations. - Marcello Farina; Andrea Caspani (Syst. Control. Lett., 2021)

An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. - Fabio Bonassi; Jing Xie 015; Marcello Farina; Riccardo Scattolini (CDC, 2022)

Data-based control design for linear discrete-time systems with robust stability guarantees. - William D'Amico 001; Marcello Farina (CDC, 2022)

Towards lifelong learning of Recurrent Neural Networks for control design. - Fabio Bonassi; Jing Xie 015; Marcello Farina; Riccardo Scattolini (ECC, 2022)

Recurrent Neural Network controllers learned using Virtual Reference Feedback Tuning with application to an Electronic Throttle Body. - William D'Amico 001; Marcello Farina; Giulio Panzani (ECC, 2022)

Robust multi-rate predictive control using multi-step prediction models learned from data. - Enrico Terzi; Marcello Farina; Lorenzo Fagiano; Riccardo Scattolini (Autom., 2022)

Robust offset-free nonlinear model predictive control for systems learned by neural nonlinear autoregressive exogenous models. - Jing Xie 015; Fabio Bonassi; Marcello Farina; Riccardo Scattolini (CoRR, 2022)

An incremental input-to-state stability condition for a generic class of recurrent neural networks. - William D'Amico 001; Alessio La Bella; Marcello Farina (CoRR, 2022)

Remote MPC for Tracking Over Lossy Networks. - Matthias Pezzutto; Marcello Farina; Ruggero Carli; Luca Schenato 001 (IEEE Control. Syst. Lett., 2022)

A Hierarchical Architecture for Optimal Unit Commitment and Control of an Ensemble of Steam Generators. - Stefano Spinelli; Marcello Farina; Andrea Ballarino (IEEE Trans. Control. Syst. Technol., 2022)

Deep Long-Short Term Memory networks: Stability properties and Experimental validation. - Fabio Bonassi; Alessio La Bella; Giulio Panzani; Marcello Farina; Riccardo Scattolini (ECC, 2023)

An optimal hierarchical control scheme for smart generation units: an application to combined steam and electricity generation. - Stefano Spinelli; Marcello Farina; Andrea Ballarino (CoRR, 2023)

Data-Based Control Design for Output-Error Linear Discrete-Time Systems With Probabilistic Stability Guarantees. - William D'Amico 001; Andrea Bisoffi; Marcello Farina (IEEE Control. Syst. Lett., 2023)

A novel distributed algorithm for estimation and control of large-scale systems. - Marcello Farina; Marco Rocca (Eur. J. Control, 2023)

Virtual reference feedback tuning for linear discrete-time systems with robust stability guarantees based on set membership. - William D'Amico 001; Marcello Farina (Autom., 2023)

Modeling and predictive control of networked systems via physics-informed neural networks. - Laura Boca de Giuli; Alessio La Bella; Marcello Farina; Riccardo Scattolini (CDC, 2024)

LMI-Based Control Design with Robust Local Stability Guarantees for Linear Discrete-Time Systems with Input Saturations. - William D'Amico 001; Simone Zanini; Alessio La Bella; Marcello Farina (ECC, 2024)

Moving horizon partition-based state estimation of large-scale systems - Revised version. - Marcello Farina; Giancarlo Ferrari-Trecate; Riccardo Scattolini (CoRR, 2024)

Stochastic MPC for Linear Systems With Unbounded Multiplicative Noise Guaranteeing Closed-Loop Chance Constraints Satisfaction. - Christoph Mark; Daniele Ravasio; Marcello Farina; Daniel Görges (IEEE Control. Syst. Lett., 2024)

LMI-Based Design of a Robust Model Predictive Controller for a Class of Recurrent Neural Networks With Guaranteed Properties. - Daniele Ravasio; Marcello Farina; Andrea Ballarino (IEEE Control. Syst. Lett., 2024)

Nonlinear MPC design for incrementally ISS systems with application to GRU networks. - Fabio Bonassi; Alessio La Bella; Marcello Farina; Riccardo Scattolini (Autom., 2024)

An Incremental Input-to-State Stability Condition for a Class of Recurrent Neural Networks. - William D'Amico 001; Alessio La Bella; Marcello Farina (IEEE Trans. Autom. Control., 2024)

Regional stability conditions for recurrent neural network-based control systems. - Alessio La Bella; Marcello Farina; William D'Amico 001; Luca Zaccarian (Autom., 2025)

Data-driven control of echo state-based recurrent neural networks with robust stability guarantees. - William D'Amico 001; Alessio La Bella; Marcello Farina (Syst. Control. Lett., 2025)

Recurrent neural network-based robust control systems with closed-loop regional incremental ISS and application to MPC design. - Daniele Ravasio; Marcello Farina; Alessio La Bella; Andrea Ballarino (CoRR, 2025)