Riccardo Scattolini

ORCID

Publication Activity (10 Years)

Years Active: 1986-2024
Publications (10 Years): 67

Top Venues

CoRR

ECC

IEEE Trans. Control. Syst. Technol.

Autom.

Publications

Jing Xie, Fabio Bonassi, Riccardo Scattolini
Internal Model Control design for systems learned by Control Affine Neural Nonlinear Autoregressive Exogenous Models. CoRR (2024)
Laura Boca de Giuli, Alessio La Bella, Riccardo Scattolini
Physics-Informed Neural Network Modeling and Predictive Control of District Heating Systems. IEEE Trans. Control. Syst. Technol. 32 (4) (2024)
Jing Xie, Léo Simpson, Jonas Asprion, Riccardo Scattolini
A Learning-based Model Predictive Control Scheme with Application to Temperature Control Units. CoRR (2024)
Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini
Moving horizon partition-based state estimation of large-scale systems - Revised version. CoRR (2024)
Lorenzo Nigro, Alessio La Bella, Riccardo Scattolini
Distributed Two-Layer Predictive Control of Multi-Energy Systems. ECC (2024)
Alessio La Bella, Lorenzo Nigro, Riccardo Scattolini
Predictive Control and Benefit Sharing in Multi-Energy Systems. IEEE Trans. Control. Syst. Technol. 32 (2) (2024)
Laura Boca de Giuli, Alessio La Bella, Giuseppe De Nicolao, Riccardo Scattolini
Lifelong Learning for Monitoring and Adaptation of Data-Based Dynamical Models: A Statistical Process Control Approach. ECC (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)
Fabio Bonassi, Alessio La Bella, Giulio Panzani, Marcello Farina, Riccardo Scattolini
Deep Long-Short Term Memory networks: Stability properties and Experimental validation. 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)
Isabella Lanzani, Riccardo Scattolini, Enrico Zio, Alessandro Cimatti, Marco Bozzano, Stefano Tonetta
Two formal methodologies of Model-Based Safety Assessment for Fault Tree Analysis. ICSRS (2023)
Loredana Cristaldi, Parisa Esmaili, Giambattista Gruosso, Alessio La Bella, Massimo Mecella, Riccardo Scattolini, Ala Arman, Gian Antonio Susto, Letizia Tanca
The MICS Project: A Data Science Pipeline for Industry 4.0 Applications. MetroXRAINE (2023)
Fabio Bonassi, Alessio La Bella, Marcello Farina, Riccardo Scattolini
Nonlinear MPC design for incrementally ISS systems with application to GRU networks. CoRR (2023)
Laura Boca de Giuli, Alessio La Bella, Riccardo Scattolini
Physics-informed Neural Network Modelling and Predictive Control of District Heating Systems. CoRR (2023)
Toma Sikora, Jonathan Klein Schiphorst, Riccardo Scattolini
Learning Trajectory Tracking for an Autonomous Surface Vehicle in Urban Waterways. Comput. 11 (11) (2023)
Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini
Robust multi-rate predictive control using multi-step prediction models learned from data. Autom. 136 (2022)
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
Towards lifelong learning of Recurrent Neural Networks for control design. ECC (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, Riccardo Scattolini
Recurrent Neural Network-based Internal Model Control design for stable nonlinear systems. Eur. J. Control 65 (2022)
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. CoRR (2022)
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. CDC (2022)
Xinglong Zhang, Wei Pan, Riccardo Scattolini, Shuyou Yu, Xin Xu
Robust tube-based model predictive control with Koopman operators. Autom. 137 (2022)
Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini
Towards lifelong learning of Recurrent Neural Networks for control design. CoRR (2022)
Pulkit Nahata, Alessio La Bella, Riccardo Scattolini, Giancarlo Ferrari-Trecate
Hierarchical Control in Islanded DC Microgrids With Flexible Structures. IEEE Trans. Control. Syst. Technol. 29 (6) (2021)
Fabio Bonassi, Riccardo Scattolini
Recurrent neural network-based Internal Model Control of unknown nonlinear stable systems. CoRR (2021)
Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini
Robust multi-rate predictive control using multi-step prediction models learned from data. CoRR (2021)
Xinglong Zhang, Wei Pan, Riccardo Scattolini, Shuyou Yu, Xin Xu
Robust Tube-based Model Predictive Control with Koopman Operators-Extended Version. CoRR (2021)
Fabio Bonassi, Caio Fabio Oliveira da Silva, Riccardo Scattolini
Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks. CoRR (2021)
Fabio Bonassi, Marcello Farina, Riccardo Scattolini
On the stability properties of Gated Recurrent Units neural networks. Syst. Control. Lett. 157 (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)
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)
Lorenzo Fagiano, Marko Tanaskovic, Lenin Cucas Mallitasig, Andrea Cataldo, Riccardo Scattolini
Hierarchical routing control in discrete manufacturing plants via model predictive path allocation and greedy path following. CoRR (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, Alessio La Bella, Lorenzo Fagiano, Riccardo Scattolini, Donato Zarrilli, Pablo Almaleck
Software-in-the-loop testing of a distributed optimal scheduling strategy for microgrids' aggregators. ISGT-Europe (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)
Alessio La Bella, Pascal Klaus, Giancarlo Ferrari-Trecate, Riccardo Scattolini
Supervised MPC control of large-scale electricity networks via clustering methods. CoRR (2020)
Lorenzo Fagiano, Marko Tanaskovic, Lenin Cucas Mallitasig, Andrea Cataldo, Riccardo Scattolini
Hierarchical routing control in discrete manufacturing plants via model predictive path allocation and greedy path following. CDC (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)
Simone Pozzoli, Marco Gallieri, Riccardo Scattolini
Tustin neural networks: a class of recurrent nets for adaptive MPC of mechanical systems. CoRR (2019)
Enrico Terzi, Marcello Farina, Riccardo Scattolini
Model predictive control design for dynamical systems learned by Long Short-Term Memory Networks. CoRR (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)
Pulkit Nahata, Alessio La Bella, Riccardo Scattolini, Giancarlo Ferrari-Trecate
Hierarchical Control in Islanded DC Microgrids with Flexible Structures. CoRR (2019)
Alessio La Bella, Lorenzo Fagiano, Riccardo Scattolini
Set membership estimation of day-ahead microgrids scheduling. ECC (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)
Andrea Martinelli, Alessio La Bella, Riccardo Scattolini
Secondary Control Strategies for DC Islanded Microgrids Operation. ECC (2019)
Alessio La Bella, Marcello Farina, Carlo Sandroni, Riccardo Scattolini
Microgrids aggregation management providing ancillary services. ECC (2018)
Alessio La Bella, Simone Negri, Riccardo Scattolini, Enrico Tironi
A Two-Layer Control Architecture for Islanded AC Microgrids with Storage Devices. CCTA (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)
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, Xinglong Zhang, Riccardo Scattolini
A hierarchical multi-rate MPC scheme for interconnected systems. Autom. 90 (2018)
Alessio La Bella, Stefano Raimondi Cominesi, Carlo Sandroni, Riccardo Scattolini
Hierarchical Predictive Control of Microgrids in Islanded Operation. IEEE Trans Autom. Sci. Eng. 14 (2) (2017)
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)
Marcello Farina, Riccardo Scattolini
Model predictive control of linear systems with multiplicative unbounded uncertainty and chance constraints. Autom. 70 (2016)
Andrea Cataldo, Riccardo Scattolini
Dynamic Pallet Routing in a Manufacturing Transport Line With Model Predictive Control. IEEE Trans. Control. Syst. Technol. 24 (5) (2016)
Bruno Picasso, Xinglong Zhang, Riccardo Scattolini
Hierarchical Model Predictive Control of independent systems with joint constraints. Autom. 74 (2016)
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, Luca Giulioni, Lalo Magni, Riccardo Scattolini
An approach to output-feedback MPC of stochastic linear discrete-time systems. Autom. 55 (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)
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 Cataldo, Riccardo Scattolini
Modeling and model predictive control of a de-manufacturing plant. CCA (2014)
Andrea Cataldo, Andrea Perizzato, Riccardo Scattolini
Management of a Production Cell Lubrication System with Model Predictive Control. APMS (3) (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)
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, Riccardo Scattolini, Giancarlo Ferrari-Trecate
Plug-and-play distributed state estimation for linear systems. CoRR (2013)
Panagiotis D. Christofides, Riccardo Scattolini, David Muñoz de la Peña, Jinfeng Liu
Distributed model predictive control: A tutorial review and future research directions. Comput. Chem. Eng. 51 (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)
Luca Galbusera, Giancarlo Ferrari-Trecate, Riccardo Scattolini
A hybrid model predictive control scheme for containment and distributed sensing in multi-agent systems. Syst. Control. Lett. 62 (5) (2013)
Giulio Betti, Marcello Farina, Riccardo Scattolini
Distributed predictive control for tracking constant references. ACC (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)
Bruno Picasso, Delia Desiderio, Riccardo Scattolini
Robust Stability Analysis of Nonlinear Discrete-Time Systems With Application to MPC. IEEE Trans. Autom. Control. 57 (1) (2012)
Giulio Betti, Marcello Farina, Riccardo Scattolini
An MPC algorithm for offset-free tracking of constant reference signals. CDC (2012)
Marcello Farina, Riccardo Scattolini
Tube-based robust sampled-data MPC for linear continuous-time systems. Autom. 48 (7) (2012)
Marcello Farina, Riccardo Scattolini
An output feedback distributed predictive control algorithm. CDC/ECC (2011)
Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini
Distributed Moving Horizon Estimation for Linear Constrained Systems. IEEE Trans. Autom. Control. 55 (11) (2010)
Daniele De Vito, Bruno Picasso, Riccardo Scattolini
On the design of reconfigurable two layer hierarchical control systems with MPC. ACC (2010)
Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini
State estimation for large-scale partitioned systems: a moving horizon approach. ACC (2010)
Bruno Picasso, Daniele De Vito, Riccardo Scattolini, Patrizio Colaneri
An MPC approach to the design of two-layer hierarchical control systems. Autom. 46 (5) (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Riccardo Scattolini