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ORCIDRiccardo Scattolini
- > Home > Persons > Riccardo Scattolini
Publications
- 2024
[j69]Fabio Bonassi, Alessio La Bella, Marcello Farina, Riccardo Scattolini:
Nonlinear MPC design for incrementally ISS systems with application to GRU networks. Autom. 159: 111381 (2024)- [i32]Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini:
Moving horizon partition-based state estimation of large-scale systems - Revised version. CoRR abs/2401.17933 (2024) - 2023
- [c52]Fabio Bonassi, Alessio La Bella, Giulio Panzani, Marcello Farina, Riccardo Scattolini:
Deep Long-Short Term Memory networks: Stability properties and Experimental validation. ECC 2023: 1-6 - [i29]Fabio Bonassi, Alessio La Bella
, Giulio Panzani, Marcello Farina, Riccardo Scattolini:
Deep Long-Short Term Memory networks: Stability properties and Experimental validation. CoRR abs/2304.02975 (2023) - [i28]Fabio Bonassi, Alessio La Bella, Marcello Farina, Riccardo Scattolini:
Nonlinear MPC design for incrementally ISS systems with application to GRU networks. CoRR abs/2309.16428 (2023) - 2022
- [j66]Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini:
Robust multi-rate predictive control using multi-step prediction models learned from data. Autom. 136: 109852 (2022) - [c49]Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini:
An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. CDC 2022: 2123-2128 - [c48]Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini:
Towards lifelong learning of Recurrent Neural Networks for control design. ECC 2022: 2018-2023 - [i26]Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini:
An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models. CoRR abs/2203.16290 (2022) - [i25]Fabio Bonassi, Jing Xie, Marcello Farina, Riccardo Scattolini:
Towards lifelong learning of Recurrent Neural Networks for control design. CoRR abs/2208.03980 (2022) - [i24]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 abs/2210.06801 (2022) - 2021
- [j63]Fabio Bonassi, Marcello Farina, Riccardo Scattolini:
On the stability properties of Gated Recurrent Units neural networks. Syst. Control. Lett. 157: 105049 (2021) - [i23]Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini:
Robust multi-rate predictive control using multi-step prediction models learned from data. CoRR abs/2102.08302 (2021) - [i19]Fabio Bonassi, Marcello Farina, Jing Xie, Riccardo Scattolini:
On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments. CoRR abs/2111.13557 (2021) - 2020
- [j61]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): 521-532 (2020) - [j60]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): 2616-2624 (2020) - [c45]Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini:
LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification. L4DC 2020: 85-94 - [i16]Fabio Bonassi, Marcello Farina, Riccardo Scattolini:
On the stability properties of Gated Recurrent Units neural networks. CoRR abs/2011.06806 (2020) - [i15]Fabio Bonassi, Marcello Farina, Riccardo Scattolini:
Stability of discrete-time feed-forward neural networks in NARX configuration. CoRR abs/2012.03741 (2020) - 2019
- [j59]Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini:
Learning-based predictive control for linear systems: A unitary approach. Autom. 108 (2019) - [j58]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): 1044-1049 (2019) - [c44]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: 7671-7676 - [c43]Luca Bugliari Armenio, Enrico Terzi, Marcello Farina, Riccardo Scattolini:
Echo State Networks: analysis, training and predictive control. ECC 2019: 799-804 - [i14]Luca Bugliari Armenio, Enrico Terzi, Marcello Farina, Riccardo Scattolini:
Echo State Networks: analysis, training and predictive control. CoRR abs/1902.01618 (2019) - [i13]Enrico Terzi, Marcello Farina, Riccardo Scattolini:
Model predictive control design for dynamical systems learned by Long Short-Term Memory Networks. CoRR abs/1910.04024 (2019) - [i10]Luca Bugliari Armenio, Lorenzo Fagiano, Enrico Terzi, Marcello Farina, Riccardo Scattolini:
Scenario optimization for optimal training of Echo State Networks. CoRR abs/1912.01693 (2019) - [i9]Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini:
LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification. CoRR abs/1912.04377 (2019) - 2018
- [j57]Marcello Farina, Xinglong Zhang, Riccardo Scattolini:
A hierarchical multi-rate MPC scheme for interconnected systems. Autom. 90: 38-46 (2018) - [j56]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): 1-13 (2018) - [c39]Alessio La Bella, Marcello Farina, Carlo Sandroni, Riccardo Scattolini:
Microgrids aggregation management providing ancillary services. ECC 2018: 1136-1141 - [c38]Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini:
Learning multi-step prediction models for receding horizon control. ECC 2018: 1335-1340 - [c37]Enrico Terzi, Marcello Farina, Lorenzo Fagiano, Riccardo Scattolini:
Robust predictive control with data-based multi-step prediction models. ECC 2018: 1710-1715 - [i8]Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini:
On multi-step prediction models for receding horizon control. CoRR abs/1802.09767 (2018) - [i7]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 abs/1804.02195 (2018) - [i6]Enrico Terzi, Lorenzo Fagiano, Marcello Farina, Riccardo Scattolini:
Learning-based predictive control for linear systems: a unitary approach. CoRR abs/1810.12584 (2018) - 2017
- [i5]Marcello Farina, Xinglong Zhang, Riccardo Scattolini:
A hierarchical MPC scheme for interconnected systems. CoRR abs/1703.02739 (2017) - [i4]Marcello Farina, Xinglong Zhang, Riccardo Scattolini:
A hierarchical multirate MPC scheme for interconnected systems - $\textit{extended version}$. CoRR abs/1705.08818 (2017) - 2016
- [j54]Marcello Farina, Riccardo Scattolini:
Model predictive control of linear systems with multiplicative unbounded uncertainty and chance constraints. Autom. 70: 258-265 (2016) - [c36]Marcello Farina, Luca Giulioni, Riccardo Scattolini:
Distributed Predictive Control of stochastic linear systems with chance constraints. ACC 2016: 20-25 - 2015
- [j51]Marcello Farina, Luca Giulioni, Lalo Magni, Riccardo Scattolini:
An approach to output-feedback MPC of stochastic linear discrete-time systems. Autom. 55: 140-149 (2015) - [j50]Marcello Farina, Andrea Perizzato, Riccardo Scattolini:
Application of distributed predictive control to motion and coordination problems for unicycle autonomous robots. Robotics Auton. Syst. 72: 248-260 (2015) - [c35]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: 918-923 - 2014
- [j49]Marcello Farina, Giulio Betti, Riccardo Scattolini:
Distributed predictive control of continuous-time systems. Syst. Control. Lett. 74: 32-40 (2014) - [j48]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): 69-82 (2014) - [j47]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): 1558-1566 (2014) - [c34]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: 77-82 - [c32]Andrea Perizzato, Marcello Farina, Riccardo Scattolini:
Stochastic distributed Predictive Control of independent systems with coupling constraints. CDC 2014: 3228-3233 - [i3]Marcello Farina, Luca Giulioni, Lalo Magni, Riccardo Scattolini:
An MPC approach to output-feedback control of stochastic linear discrete-time systems. CoRR abs/1408.6723 (2014) - 2013
- [j46]Marcello Farina, Patrizio Colaneri, Riccardo Scattolini:
Block-wise discretization accounting for structural constraints. Autom. 49(11): 3411-3417 (2013) - [j44]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): 1534-1539 (2013) - [j42]Giulio Betti, Marcello Farina, Riccardo Scattolini:
A Robust MPC Algorithm for Offset-Free Tracking of Constant Reference Signals. IEEE Trans. Autom. Control. 58(9): 2394-2400 (2013) - [c30]Stefano Riverso, Marcello Farina, Riccardo Scattolini, Giancarlo Ferrari-Trecate:
Plug-and-play distributed state estimation for linear systems. CDC 2013: 4889-4894 - [c29]Giulio Betti, Marcello Farina, Riccardo Scattolini:
Decentralized predictive control for tracking constant references. CDC 2013: 5228-5233 - [c28]Marcello Farina, Luca Giulioni, Lalo Magni, Riccardo Scattolini:
A probabilistic approach to Model Predictive Control. CDC 2013: 7734-7739 - [c27]Marcello Farina, Giulio Betti, Riccardo Scattolini:
A solution to the tracking problem using distributed predictive control. ECC 2013: 4347-4352 - [i2]Stefano Riverso, Marcello Farina, Riccardo Scattolini, Giancarlo Ferrari-Trecate:
Plug-and-play distributed state estimation for linear systems. CoRR abs/1309.2002 (2013) - [i1]Marcello Farina, Antonio Guagliardi, Federico Mariani, Carlo Sandroni, Riccardo Scattolini:
Model predictive control of voltage profiles in MV networks with distributed generation. CoRR abs/1311.3515 (2013) - 2012
- [j41]Marcello Farina, Riccardo Scattolini:
Distributed predictive control: A non-cooperative algorithm with neighbor-to-neighbor communication for linear systems. Autom. 48(6): 1088-1096 (2012) - [j40]Marcello Farina, Riccardo Scattolini:
Tube-based robust sampled-data MPC for linear continuous-time systems. Autom. 48(7): 1473-1476 (2012) - [c26]Giulio Betti, Marcello Farina, Riccardo Scattolini:
Distributed predictive control for tracking constant references. ACC 2012: 6364-6369 - [c25]Giulio Betti, Marcello Farina, Riccardo Scattolini:
An MPC algorithm for offset-free tracking of constant reference signals. CDC 2012: 5182-5187 - [c24]Patrizio Colaneri, Marcello Farina, Riccardo Scattolini, Robert Shorten:
A Note on Discretization of Sparce Linear Systems. ROCOND 2012: 97-102 - 2011
- [c23]Marcello Farina, Riccardo Scattolini:
An output feedback distributed predictive control algorithm. CDC/ECC 2011: 8139-8144 - 2010
- [j37]Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini:
Moving-horizon partition-based state estimation of large-scale systems. Autom. 46(5): 910-918 (2010) - [j36]Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini:
Distributed Moving Horizon Estimation for Linear Constrained Systems. IEEE Trans. Autom. Control. 55(11): 2462-2475 (2010) - [c22]Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini:
State estimation for large-scale partitioned systems: a moving horizon approach. ACC 2010: 3180-3185 - 2009
- [c20]Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini:
A moving horizon scheme for distributed state estimation. CDC 2009: 1818-1823
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last updated on 2024-03-19 02:14 CET by the dblp team
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