Marcello Farina

133 papers C 7Journal 91Unranked 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A new approach for combined model class selection and parameters learning for auto-regressive neural models. CoRR Corrado Sgadari, Alessio La Bella, Marcello Farina
2026	J	`jnl`	Physics-informed structured learning of a class of recurrent neural networks with guaranteed properties. CoRR Daniele Ravasio, Claudia Sbardi, Marcello Farina, Andrea Ballarino
2026	J	`jnl`	Remote tube MPC over lossy networks for constrained control without prediction consistency. Syst. Control. Lett. Matthias Pezzutto, Marcello Farina, Ruggero Carli, Luca Schenato
2025	J	`jnl`	BUDD-e: an autonomous robotic guide for visually impaired users. CoRR Jinyang Li, Marcello Farina, Luca Mozzarelli, Luca Cattaneo, Panita Rattamasanaprapai, Eleonora A. Tagarelli, Matteo Corno, Paolo Perego, Giuseppe Andreoni, Emanuele Lettieri
2025	J	`jnl`	Data-driven control of echo state-based recurrent neural networks with robust stability guarantees. Syst. Control. Lett. William D'Amico, Alessio La Bella, Marcello Farina
2025	J	`jnl`	Development of a velocity form for a class of RNNs, with application to offset-free nonlinear MPC design. CoRR Daniele Ravasio, Bestem Abdulaziz, Marcello Farina, Andrea Ballarino
2025	—	`conf`	Feedback linearization of a single-track dynamic model with steering actuator delay. ECC Sumit Chourasiya, Luca Bascetta, Marcello Farina, Gianni Ferretti, Alberto Leva
2025	J	`jnl`	Koopman-Based Dynamic Environment Prediction for Safe UAV Navigation. CoRR Vitor Bueno, Ali Azarbahram, Marcello Farina, Lorenzo Fagiano
2025	J	`jnl`	Learning stabilising policies for constrained nonlinear systems. CoRR Daniele Ravasio, Danilo Saccani, Marcello Farina, Giancarlo Ferrari-Trecate
2025	J	`jnl`	Recurrent neural network-based robust control systems with closed-loop regional incremental ISS and application to MPC design. CoRR Daniele Ravasio, Marcello Farina, Alessio La Bella, Andrea Ballarino
2025	J	`jnl`	Regional stability conditions for recurrent neural network-based control systems. Autom. Alessio La Bella, Marcello Farina, William D'Amico, Luca Zaccarian
2024	J	`jnl`	An Incremental Input-to-State Stability Condition for a Class of Recurrent Neural Networks. IEEE Trans. Autom. Control. William D'Amico, Alessio La Bella, Marcello Farina
2024	—	`conf`	LMI-Based Control Design with Robust Local Stability Guarantees for Linear Discrete-Time Systems with Input Saturations. ECC William D'Amico, Simone Zanini, Alessio La Bella, Marcello Farina
2024	J	`jnl`	LMI-Based Design of a Robust Model Predictive Controller for a Class of Recurrent Neural Networks With Guaranteed Properties. IEEE Control. Syst. Lett. Daniele Ravasio, Marcello Farina, Andrea Ballarino
2024	—	`conf`	Modeling and predictive control of networked systems via physics-informed neural networks. CDC Laura Boca de Giuli, Alessio La Bella, Marcello Farina, Riccardo Scattolini
2024	J	`jnl`	Moving horizon partition-based state estimation of large-scale systems - Revised version. CoRR Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini
2024	J	`jnl`	Nonlinear MPC design for incrementally ISS systems with application to GRU networks. Autom. Fabio Bonassi, Alessio La Bella, Marcello Farina, Riccardo Scattolini
2024	J	`jnl`	Regional stability conditions for recurrent neural network-based control systems. CoRR Alessio La Bella, Marcello Farina, William D'Amico, Luca Zaccarian
2024	J	`jnl`	Stochastic MPC for Linear Systems With Unbounded Multiplicative Noise Guaranteeing Closed-Loop Chance Constraints Satisfaction. IEEE Control. Syst. Lett. Christoph Mark, Daniele Ravasio, Marcello Farina, Daniel Görges
2023	J	`jnl`	A Hierarchical Architecture for Optimal Unit Commitment and Control of an Ensemble of Steam Generators. CoRR Stefano Spinelli, Marcello Farina, Andrea Ballarino
2023	J	`jnl`	A novel distributed algorithm for estimation and control of large-scale systems. Eur. J. Control Marcello Farina, Marco Rocca
2023	J	`jnl`	An optimal hierarchical control scheme for smart generation units: an application to combined steam and electricity generation. CoRR Stefano Spinelli, Marcello Farina, Andrea Ballarino
2023	J	`jnl`	Data-Based Control Design for Output-Error Linear Discrete-Time Systems With Probabilistic Stability Guarantees. IEEE Control. Syst. Lett. William D'Amico, Andrea Bisoffi, Marcello Farina
2023	—	`conf`	Deep Long-Short Term Memory networks: Stability properties and Experimental validation. ECC Fabio Bonassi, Alessio La Bella, Giulio Panzani, Marcello Farina, Riccardo Scattolini
2023	J	`jnl`	Deep Long-Short Term Memory networks: Stability properties and Experimental validation. CoRR Fabio Bonassi, Alessio La Bella, Giulio Panzani, Marcello Farina, Riccardo Scattolini
2023	J	`jnl`	Nonlinear MPC design for incrementally ISS systems with application to GRU networks. CoRR Fabio Bonassi, Alessio La Bella, Marcello Farina, Riccardo Scattolini
2023	J	`jnl`	Virtual reference feedback tuning for linear discrete-time systems with robust stability guarantees based on set membership. Autom. William D'Amico, Marcello Farina
2022	J	`jnl`	A Hierarchical Architecture for Optimal Unit Commitment and Control of an Ensemble of Steam Generators. IEEE Trans. Control. Syst. Technol. Stefano Spinelli, Marcello Farina, Andrea Ballarino
2022	—	`conf`	An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. CDC Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
2022	J	`jnl`	An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. CoRR Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
2022	J	`jnl`	An incremental input-to-state stability condition for a generic class of recurrent neural networks. CoRR William D'Amico, Alessio La Bella, Marcello Farina
2022	—	`conf`	Data-based control design for linear discrete-time systems with robust stability guarantees. CDC William D'Amico, Marcello Farina
2022	—	`conf`	Recurrent Neural Network controllers learned using Virtual Reference Feedback Tuning with application to an Electronic Throttle Body. ECC William D'Amico, Marcello Farina, Giulio Panzani
2022	J	`jnl`	Remote MPC for Tracking Over Lossy Networks. IEEE Control. Syst. Lett. Matthias Pezzutto, Marcello Farina, Ruggero Carli, Luca Schenato
2022	J	`jnl`	Robust multi-rate predictive control using multi-step prediction models learned from data. Autom. Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini
2022	J	`jnl`	Robust offset-free nonlinear model predictive control for systems learned by neural nonlinear autoregressive exogenous models. CoRR Jing Xie, Fabio Bonassi, Marcello Farina, Riccardo Scattolini
2022	—	`conf`	Towards lifelong learning of Recurrent Neural Networks for control design. ECC Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
2022	J	`jnl`	Towards lifelong learning of Recurrent Neural Networks for control design. CoRR Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
2022	J	`jnl`	Virtual Reference Feedback Tuning for linear discrete-time systems with robust stability guarantees based on Set Membership. CoRR William D'Amico, Marcello Farina
2021	J	`jnl`	Advanced control based on Recurrent Neural Networks learned using Virtual Reference Feedback Tuning and application to an Electronic Throttle Body (with supplementary material). CoRR William D'Amico, Marcello Farina, Giulio Panzani
2021	J	`jnl`	Model-based fault isolability and isolation of persistent faults: Centralized and distributed implementations. Syst. Control. Lett. Marcello Farina, Andrea Caspani
2021	J	`jnl`	On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments. CoRR Fabio Bonassi, Marcello Farina, Jing Xie, Riccardo Scattolini
2021	J	`jnl`	On the stability properties of Gated Recurrent Units neural networks. Syst. Control. Lett. Fabio Bonassi, Marcello Farina, Riccardo Scattolini
2021	J	`jnl`	Robust multi-rate predictive control using multi-step prediction models learned from data. CoRR Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
2020	J	`jnl`	A Hierarchical Architecture for the Coordination of an Ensemble of Steam Generators. CoRR Stefano Spinelli, Elia Longoni, Marcello Farina, Felix Petzke, Stefan Streif, Andrea Ballarino
2020	J	`jnl`	A Hierarchical MPC Scheme for Coordination of Independent Systems With Shared Resources and Plug-and-Play Capabilities. IEEE Trans. Control. Syst. Technol. Marcello Farina, Xinglong Zhang, Riccardo Scattolini
2020	J	`jnl`	A feedback linearisation algorithm for single-track models with structural stability properties. CoRR Luca Bascetta, Marcello Farina, Alessandro Gabrielli, Matteo Matteucci
2020	J	`jnl`	Design of Aggregators for the Day-Ahead Management of Microgrids Providing Active and Reactive Power Services. IEEE Trans. Control. Syst. Technol. Alessio La Bella, Marcello Farina, Carlo Sandroni, Riccardo Scattolini
2020	—	`conf`	LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification. L4DC Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini
2020	J	`jnl`	Nonlinear Model Predictive Control with Enhanced Actuator Model for Multi-Rotor Aerial Vehicles with Generic Designs. J. Intell. Robotic Syst. Davide Bicego, Jacopo Mazzetto, Ruggero Carli, Marcello Farina, Antonio Franchi
2020	J	`jnl`	On the stability properties of Gated Recurrent Units neural networks. CoRR Fabio Bonassi, Marcello Farina, Riccardo Scattolini
2020	J	`jnl`	Stability of discrete-time feed-forward neural networks in NARX configuration. CoRR Fabio Bonassi, Marcello Farina, Riccardo Scattolini
2019	—	`conf`	An optimal control of start-up for nonlinear fire-tube boilers with thermal stress constraints. ECC Stefano Spinelli, Marcello Farina, Andrea Ballarino
2019	J	`jnl`	Distributed Fault Detection for Interconnected Large-Scale Systems: A Scalable Plug & Play Approach. IEEE Trans. Control. Netw. Syst. Francesca Boem, Ruggero Carli, Marcello Farina, Giancarlo Ferrari-Trecate, Thomas Parisini
2019	—	`conf`	Echo State Networks: analysis, training and predictive control. ECC Luca Bugliari Armenio, Enrico Terzi, Marcello Farina, Riccardo Scattolini
2019	J	`jnl`	Echo State Networks: analysis, training and predictive control. CoRR Luca Bugliari Armenio, Enrico Terzi, Marcello Farina, Riccardo Scattolini
2019	J	`jnl`	LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification. CoRR Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini
2019	—	`conf`	Learning-based predictive control for MIMO systems. CDC Jose R. Salvador, Enrico Terzi, Marcello Farina, Daniel R. Ramírez, Lorenzo Fagiano, David Muñoz de la Peña, Riccardo Scattolini
2019	J	`jnl`	Learning-based predictive control for linear systems: A unitary approach. Autom. Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
2019	J	`jnl`	Model Predictive Control Design for Dynamical Systems Learned by Echo State Networks. IEEE Control. Syst. Lett. Luca Bugliari Armenio, Enrico Terzi, Marcello Farina, Riccardo Scattolini
2019	J	`jnl`	Model predictive control design for dynamical systems learned by Long Short-Term Memory Networks. CoRR Enrico Terzi, Marcello Farina, Riccardo Scattolini
2019	J	`jnl`	Nonlinear Model Predictive Control with Actuator Constraints for Multi-Rotor Aerial Vehicles. CoRR Davide Bicego, Jacopo Mazzetto, Ruggero Carli, Marcello Farina, Antonio Franchi
2019	—	`conf`	Online Nonlinear Model Predictive Control for tethered UAVs to perform a safe and constrained maneuver. ECC Enrica Rossi, Mattia Bruschetta, Ruggero Carli, Yutao Chen, Marcello Farina
2019	J	`jnl`	Scenario optimization for optimal training of Echo State Networks. CoRR Luca Bugliari Armenio, Lorenzo Fagiano, Enrico Terzi, Marcello Farina, Riccardo Scattolini
2018	—	`conf`	A Multirate Hierarchical MPC Scheme for Ensemble Systems. CDC Felix Petzke, Marcello Farina, Stefan Streif
2018	J	`jnl`	A Two-Layer Stochastic Model Predictive Control Scheme for Microgrids. IEEE Trans. Control. Syst. Technol. Stefano Raimondi Cominesi, Marcello Farina, Luca Giulioni, Bruno Picasso, Riccardo Scattolini
2018	J	`jnl`	A hierarchical multi-rate MPC scheme for interconnected systems. Autom. Marcello Farina, Xinglong Zhang, Riccardo Scattolini
2018	—	`conf`	A hierarchical optimization-based scheme for combined Fire-tube Boiler/CHP generation units. ECC Stefano Spinelli, Marcello Farina, Andrea Ballarino
2018	J	`jnl`	Design of aggregators for the day-ahead management of microgrids providing active and reactive power services. CoRR Alessio La Bella, Marcello Farina, Carlo Sandroni, Riccardo Scattolini
2018	—	`conf`	Learning multi-step prediction models for receding horizon control. ECC Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
2018	J	`jnl`	Learning-based predictive control for linear systems: a unitary approach. CoRR Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
2018	—	`conf`	Microgrids aggregation management providing ancillary services. ECC Alessio La Bella, Marcello Farina, Carlo Sandroni, Riccardo Scattolini
2018	J	`jnl`	On multi-step prediction models for receding horizon control. CoRR Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
2018	J	`jnl`	Partition-Based Distributed Kalman Filter With Plug and Play Features. IEEE Trans. Control. Netw. Syst. Marcello Farina, Ruggero Carli
2018	—	`conf`	Robust predictive control with data-based multi-step prediction models. ECC Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini
2018	J	`jnl`	Stochastic Distributed Predictive Tracking Control for Networks of Autonomous Systems With Coupling Constraints. IEEE Trans. Control. Netw. Syst. Marcello Farina, Simone Misiano
2017	J	`jnl`	A hierarchical MPC scheme for interconnected systems. CoRR Marcello Farina, Xinglong Zhang, Riccardo Scattolini
2017	J	`jnl`	A hierarchical multirate MPC scheme for interconnected systems - $\textit{extended version}$. CoRR Marcello Farina, Xinglong Zhang, Riccardo Scattolini
2016	J	`jnl`	Assessment and comparison of distributed model predictive control schemes: Application to a natural gas refrigeration plant. Comput. Chem. Eng. Marcello Farina, Giacomo P. Ferrari, Flavio Manenti, Emiliano Pizzi
2016	C	`conf`	Distributed Predictive Control of stochastic linear systems with chance constraints. ACC Marcello Farina, Luca Giulioni, Riccardo Scattolini
2016	C	`conf`	Distributed state estimation for independent linear systems with relative and absolute measurements. ACC Marcello Farina, Ruggero Carli
2016	J	`jnl`	Model predictive control of linear systems with multiplicative unbounded uncertainty and chance constraints. Autom. Marcello Farina, Riccardo Scattolini
2016	—	`conf`	Scalable monitoring of interconnected stochastic systems. CDC Francesca Boem, Ruggero Carli, Marcello Farina, Giancarlo Ferrari-Trecate, Thomas Parisini
2015	J	`jnl`	An approach to output-feedback MPC of stochastic linear discrete-time systems. Autom. Marcello Farina, Luca Giulioni, Lalo Magni, Riccardo Scattolini
2015	J	`jnl`	Application of distributed predictive control to motion and coordination problems for unicycle autonomous robots. Robotics Auton. Syst. Marcello Farina, Andrea Perizzato, Riccardo Scattolini
2015	J	`jnl`	Partition-based Distributed Kalman Filter with plug and play features. CoRR Marcello Farina, Ruggero Carli
2015	—	`conf`	Plug and play partition-based state estimation based on Kalman filter. CDC Marcello Farina, Ruggero Carli
2015	J	`jnl`	Plug-and-play state estimation and application to distributed output-feedback model predictive control. Eur. J. Control Stefano Riverso, Marcello Farina, Giancarlo Ferrari-Trecate
2015	C	`conf`	Two-layer predictive control of a micro-grid including stochastic energy sources. ACC Stefano Raimondi Cominesi, Marcello Farina, Luca Giulioni, Bruno Picasso, Riccardo Scattolini
2014	J	`jnl`	An Approach to Distributed Predictive Control for Tracking-Theory and Applications. IEEE Trans. Control. Syst. Technol. Marcello Farina, Giulio Betti, Luca Giulioni, Riccardo Scattolini
2014	J	`jnl`	An MPC approach to output-feedback control of stochastic linear discrete-time systems. CoRR Marcello Farina, Luca Giulioni, Lalo Magni, Riccardo Scattolini
2014	J	`jnl`	Development of a Control-Oriented Model of Floating Wind Turbines. IEEE Trans. Control. Syst. Technol. Giulio Betti, Marcello Farina, Giuseppe A. Guagliardi, Andrea Marzorati, Riccardo Scattolini
2014	J	`jnl`	Distributed predictive control of continuous-time systems. Syst. Control. Lett. Marcello Farina, Giulio Betti, Riccardo Scattolini
2014	C	`conf`	Fault detection of bearings in a drive reducer of a hot steel rolling mill. CCA Andrea Perizzato, Marcello Farina, Luigi Piroddi, Riccardo Scattolini, E. Osto
2014	J	`jnl`	Plug-and-play model predictive control based on robust control invariant sets. Autom. Stefano Riverso, Marcello Farina, Giancarlo Ferrari-Trecate
2014	—	`conf`	Stochastic distributed Predictive Control of independent systems with coupling constraints. CDC Andrea Perizzato, Marcello Farina, Riccardo Scattolini
2013	J	`jnl`	A Robust MPC Algorithm for Offset-Free Tracking of Constant Reference Signals. IEEE Trans. Autom. Control. Giulio Betti, Marcello Farina, Riccardo Scattolini
2013	—	`conf`	A probabilistic approach to Model Predictive Control. CDC Marcello Farina, Luca Giulioni, Lalo Magni, Riccardo Scattolini
2013	—	`conf`	A solution to the tracking problem using distributed predictive control. ECC Marcello Farina, Giulio Betti, Riccardo Scattolini
2013	J	`jnl`	An MPC-based reference governor approach for offset-free control of constrained linear systems. Int. J. Control Shahram Aghaei, Farid Sheikholeslam, Marcello Farina, Riccardo Scattolini
2013	J	`jnl`	Block-wise discretization accounting for structural constraints. Autom. Marcello Farina, Patrizio Colaneri, Riccardo Scattolini
2013	—	`conf`	Decentralized predictive control for tracking constant references. CDC Giulio Betti, Marcello Farina, Riccardo Scattolini
2013	—	`conf`	Design of plug-and-play model predictive control: An approach based on linear programming. CDC Stefano Riverso, Marcello Farina, Giancarlo Ferrari-Trecate
2013	J	`jnl`	Model predictive control of voltage profiles in MV networks with distributed generation. CoRR Marcello Farina, Antonio Guagliardi, Federico Mariani, Carlo Sandroni, Riccardo Scattolini
2013	J	`jnl`	Plug-and-Play Decentralized Model Predictive Control CoRR Stefano Riverso, Marcello Farina, Giancarlo Ferrari-Trecate
2013	J	`jnl`	Plug-and-Play Decentralized Model Predictive Control for Linear Systems. IEEE Trans. Autom. Control. Stefano Riverso, Marcello Farina, Giancarlo Ferrari-Trecate
2013	—	`conf`	Plug-and-play distributed state estimation for linear systems. CDC Stefano Riverso, Marcello Farina, Riccardo Scattolini, Giancarlo Ferrari-Trecate
2013	J	`jnl`	Plug-and-play distributed state estimation for linear systems. CoRR Stefano Riverso, Marcello Farina, Riccardo Scattolini, Giancarlo Ferrari-Trecate
2012	—	`conf`	A Note on Discretization of Sparce Linear Systems. ROCOND Patrizio Colaneri, Marcello Farina, Riccardo Scattolini, Robert Shorten
2012	—	`conf`	An MPC algorithm for offset-free tracking of constant reference signals. CDC Giulio Betti, Marcello Farina, Riccardo Scattolini
2012	C	`conf`	Distributed predictive control for tracking constant references. ACC Giulio Betti, Marcello Farina, Riccardo Scattolini
2012	J	`jnl`	Distributed predictive control: A non-cooperative algorithm with neighbor-to-neighbor communication for linear systems. Autom. Marcello Farina, Riccardo Scattolini
2012	J	`jnl`	Identification of polynomial input/output recursive models with simulation error minimisation methods. Int. J. Syst. Sci. Marcello Farina, Luigi Piroddi
2012	J	`jnl`	Plug-and-Play Model Predictive Control based on robust control invariant sets CoRR Stefano Riverso, Marcello Farina, Giancarlo Ferrari-Trecate
2012	—	`conf`	Plug-and-Play decentralized Model Predictive Control. CDC Stefano Riverso, Marcello Farina, Giancarlo Ferrari-Trecate
2012	J	`jnl`	Tube-based robust sampled-data MPC for linear continuous-time systems. Autom. Marcello Farina, Riccardo Scattolini
2011	—	`conf`	An output feedback distributed predictive control algorithm. CDC/ECC Marcello Farina, Riccardo Scattolini
2011	J	`jnl`	Computational Challenges of Tumor Spheroid Modeling. J. Bioinform. Comput. Biol. Roberto Chignola, Alessio Del Fabbro, Marcello Farina, Edoardo Milotti
2011	J	`jnl`	Modular model of TNFα cytotoxicity. Bioinform. Roberto Chignola, Vladislav Vyshemirsky, Marcello Farina, Alessio Del Fabbro, Edoardo Milotti
2010	J	`jnl`	An iterative algorithm for simulation error based identification of polynomial input-output models using multi-step prediction. Int. J. Control Marcello Farina, Luigi Piroddi
2010	C	`conf`	Approximate SEM identification of polynomial input-output models. ACC Marcello Farina, Luigi Piroddi
2010	—	`conf`	Convergence properties of an iterative prediction approach to nonlinear SEM parameter estimation. CDC Marcello Farina, Luigi Piroddi
2010	J	`jnl`	Distributed Moving Horizon Estimation for Linear Constrained Systems. IEEE Trans. Autom. Control. Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini
2010	J	`jnl`	Moving-horizon partition-based state estimation of large-scale systems. Autom. Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini
2010	C	`conf`	State estimation for large-scale partitioned systems: a moving horizon approach. ACC Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini
2009	—	`conf`	A moving horizon scheme for distributed state estimation. CDC Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini
2009	J	`jnl`	An Observer for Mass-action Chemical Reaction Networks. Eur. J. Control Marcello Farina, Sergio Bittanti
2009	J	`jnl`	Control of clock signals. J. Frankl. Inst. Marcello Farina, Sergio Bittanti, Patrizia Tavella, Lorenzo Galleani
2009	J	`jnl`	Forecasting peak air pollution levels using NARX models. Eng. Appl. Artif. Intell. Enrico Pisoni, Marcello Farina, Claudio Carnevale, Luigi Piroddi
2008	J	`jnl`	Identifikation biochemischer Reaktionsnetzwerke: Ein beobachterbasierter Ansatz (Identification of Biochemical Reaction Networks: An Observer based Approach). Autom. Eric Bullinger, Dirk Fey, Marcello Farina, Rolf Findeisen
2008	—	`conf`	Some convergence properties of multi-step prediction error identification criteria. CDC Marcello Farina, Luigi Piroddi
2007	—	`conf`	Hybrid Models for Gene Regulatory Networks: The Case of HSCC Marcello Farina, Maria Prandini
2006	—	`conf`	Results Towards Identifiability Properties of Biochemical Reaction Networks. CDC Marcello Farina, Rolf Findeisen, Eric Bullinger, Sergio Bittanti, Frank Allgöwer, Peter Wellstead