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2020 – today
- 2024
[j70]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)- [j69]Alessio La Bella, Lorenzo Nigro, Riccardo Scattolini:
Predictive Control and Benefit Sharing in Multi-Energy Systems. IEEE Trans. Control. Syst. Technol. 32(2): 368-383 (2024) - [j68]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): 1182-1195 (2024) - [c57]Alessandro Del Duca, Fredy Ruiz, Riccardo Scattolini:
Robust Micro-Grid Energy Management System Through a Scenario Approach. ACC 2024: 1801-1806 - [c56]Léo Simpson, Jing Xie, Jonas Asprion, Riccardo Scattolini:
A Learning-based Model Predictive Control Scheme with Application to Temperature Control Units *. CCTA 2024: 675-680 - [c55]Gianluca Giacomelli, Alessio La Bella, Marco Lauricella, Valentina Breschi, Riccardo Scattolini:
Hierarchical Model Predictive Control for Waste Heat Recovery in Steel Mills. CCTA 2024: 710-715 - [c54]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: 947-952 - [c53]Lorenzo Nigro, Alessio La Bella, Riccardo Scattolini:
Distributed Two-Layer Predictive Control of Multi-Energy Systems. ECC 2024: 2429-2434 - [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) - [i31]Jing Xie, Léo Simpson, Jonas Asprion, Riccardo Scattolini:
A Learning-based Model Predictive Control Scheme with Application to Temperature Control Units. CoRR abs/2402.05606 (2024) - [i30]Jing Xie, Fabio Bonassi, Riccardo Scattolini:
Internal Model Control design for systems learned by Control Affine Neural Nonlinear Autoregressive Exogenous Models. CoRR abs/2402.05607 (2024) - 2023
- [j67]Toma Sikora, Jonathan Klein Schiphorst, Riccardo Scattolini:
Learning Trajectory Tracking for an Autonomous Surface Vehicle in Urban Waterways. Comput. 11(11): 216 (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 - [c51]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: 376-383 - [c50]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: 427-431 - [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) - [i27]Laura Boca de Giuli, Alessio La Bella, Riccardo Scattolini:
Physics-informed Neural Network Modelling and Predictive Control of District Heating Systems. CoRR abs/2310.13937 (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) - [j65]Xinglong Zhang, Wei Pan, Riccardo Scattolini, Shuyou Yu, Xin Xu:
Robust tube-based model predictive control with Koopman operators. Autom. 137: 110114 (2022) - [j64]Fabio Bonassi, Riccardo Scattolini:
Recurrent Neural Network-based Internal Model Control design for stable nonlinear systems. Eur. J. Control 65: 100632 (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) - [j62]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): 2379-2392 (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) - [i22]Fabio Bonassi, Caio Fabio Oliveira da Silva, Riccardo Scattolini:
Nonlinear MPC for Offset-Free Tracking of systems learned by GRU Neural Networks. CoRR abs/2103.02383 (2021) - [i21]Fabio Bonassi, Riccardo Scattolini:
Recurrent neural network-based Internal Model Control of unknown nonlinear stable systems. CoRR abs/2108.04585 (2021) - [i20]Xinglong Zhang, Wei Pan, Riccardo Scattolini, Shuyou Yu, Xin Xu:
Robust Tube-based Model Predictive Control with Koopman Operators-Extended Version. CoRR abs/2108.13011 (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) - [c47]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: 5546-5551 - [c46]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: 985-989 - [c45]Fabio Bonassi, Enrico Terzi, Marcello Farina, Riccardo Scattolini:
LSTM Neural Networks: Input to State Stability and Probabilistic Safety Verification. L4DC 2020: 85-94 - [i18]Alessio La Bella, Pascal Klaus, Giancarlo Ferrari-Trecate, Riccardo Scattolini:
Supervised MPC control of large-scale electricity networks via clustering methods. CoRR abs/2004.14117 (2020) - [i17]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 abs/2011.04341 (2020) - [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)
2010 – 2019
- 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 - [c42]Andrea Martinelli, Alessio La Bella, Riccardo Scattolini:
Secondary Control Strategies for DC Islanded Microgrids Operation. ECC 2019: 897-902 - [c41]Alessio La Bella, Lorenzo Fagiano, Riccardo Scattolini:
Set membership estimation of day-ahead microgrids scheduling. ECC 2019: 1412-1417 - [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) - [i12]Pulkit Nahata, Alessio La Bella, Riccardo Scattolini, Giancarlo Ferrari-Trecate:
Hierarchical Control in Islanded DC Microgrids with Flexible Structures. CoRR abs/1910.05107 (2019) - [i11]Simone Pozzoli, Marco Gallieri, Riccardo Scattolini:
Tustin neural networks: a class of recurrent nets for adaptive MPC of mechanical systems. CoRR abs/1911.01310 (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) - [c40]Alessio La Bella, Simone Negri, Riccardo Scattolini, Enrico Tironi:
A Two-Layer Control Architecture for Islanded AC Microgrids with Storage Devices. CCTA 2018: 1421-1426 - [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
- [j55]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): 536-546 (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) - [j53]Bruno Picasso, Xinglong Zhang, Riccardo Scattolini:
Hierarchical Model Predictive Control of independent systems with joint constraints. Autom. 74: 99-106 (2016) - [j52]Andrea Cataldo, Riccardo Scattolini:
Dynamic Pallet Routing in a Manufacturing Transport Line With Model Predictive Control. IEEE Trans. Control. Syst. Technol. 24(5): 1812-1819 (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 - [c33]Andrea Cataldo, Riccardo Scattolini:
Modeling and model predictive control of a de-manufacturing plant. CCA 2014: 1855-1860 - [c32]Andrea Perizzato, Marcello Farina, Riccardo Scattolini:
Stochastic distributed Predictive Control of independent systems with coupling constraints. CDC 2014: 3228-3233 - [c31]Andrea Cataldo, Andrea Perizzato, Riccardo Scattolini:
Management of a Production Cell Lubrication System with Model Predictive Control. APMS (3) 2014: 131-138 - [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) - [j45]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: 21-41 (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) - [j43]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): 413-419 (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) - [j39]Bruno Picasso, Delia Desiderio, Riccardo Scattolini:
Robust Stability Analysis of Nonlinear Discrete-Time Systems With Application to MPC. IEEE Trans. Autom. Control. 57(1): 185-191 (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
- [j38]Bruno Picasso, Daniele De Vito, Riccardo Scattolini, Patrizio Colaneri:
An MPC approach to the design of two-layer hierarchical control systems. Autom. 46(5): 823-831 (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 - [c21]Daniele De Vito, Bruno Picasso, Riccardo Scattolini:
On the design of reconfigurable two layer hierarchical control systems with MPC. ACC 2010: 4707-4712
2000 – 2009
- 2009
- [j35]Giancarlo Ferrari-Trecate, Luca Galbusera, Marco Pietro Enrico Marciandi, Riccardo Scattolini:
Model Predictive Control Schemes for Consensus in Multi-Agent Systems with Single- and Double-Integrator Dynamics. IEEE Trans. Autom. Control. 54(11): 2560-2572 (2009) - [c20]Marcello Farina, Giancarlo Ferrari-Trecate, Riccardo Scattolini:
A moving horizon scheme for distributed state estimation. CDC 2009: 1818-1823 - [c19]Luca Galbusera, Giancarlo Ferrari-Trecate, Riccardo Scattolini:
A hybrid model predictive control scheme for multi-agent containment and distributed sensing. CDC 2009: 7006-7011 - [c18]Bruno Picasso, Carlo Romani, Riccardo Scattolini:
On the design of hierarchical control systems with MPC. ECC 2009: 731-736 - [c17]Lalo Magni, Daniele Pala, Riccardo Scattolini:
Stochastic Model Predictive Control of constrained linear systems with additive uncertainty. ECC 2009: 2235-2240 - 2008
- [j34]Lalo Magni, Riccardo Scattolini, Mara Tanelli:
Switched model predictive control for performance enhancement. Int. J. Control 81(12): 1859-1869 (2008) - [j33]Gabriele Lorini, Alessandro Miotti, Riccardo Scattolini:
Modelling, simulation and predictive control of a spark ignition engine. Int. J. Model. Identif. Control. 3(3): 258-269 (2008) - [j32]Antonella Ferrara, Riccardo Scattolini:
Gain reduction in switched sliding-mode control. IMA J. Math. Control. Inf. 25(1): 23-36 (2008) - [j31]Daniele De Vito, Riccardo Scattolini:
On the solution of the constrained multiobjective control problem with the receding horizon approach. Kybernetika 44(5): 649-663 (2008) - 2007
- [c16]Giancarlo Ferrari-Trecate, Luca Galbusera, Marco Pietro Enrico Marciandi, Riccardo Scattolini:
A model predictive control scheme for consensus in multi-agent systems with single-integrator dynamics and input constraints. CDC 2007: 1492-1497 - [c15]Riccardo Scattolini, Patrizio Colaneri:
Hierarchical model predictive control. CDC 2007: 4803-4808 - [c14]Daniele De Vito, Riccardo Scattolini:
A receding horizon approach to the multiobjective control problem. CDC 2007: 6029-6034 - [c13]Patrizio Colaneri, Riccardo Scattolini:
Robust model predictive control of discrete-time switched systems. PSYCO 2007: 208-212 - 2006
- [j30]Lalo Magni, Riccardo Scattolini:
Stabilizing decentralized model predictive control of nonlinear systems. Autom. 42(7): 1231-1236 (2006) - [j29]Lalo Magni, Davide Martino Raimondo, Riccardo Scattolini:
Regional Input-to-State Stability for Nonlinear Model Predictive Control. IEEE Trans. Autom. Control. 51(9): 1548-1553 (2006) - [c12]Roberta Franzosi, Alessandro Miotti, Francesco Pretolani, Riccardo Scattolini:
Traditional and advanced control of coal power plants: a comparative study. ACC 2006: 1-6 - [c11]Lalo Magni, Davide Martino Raimondo, Riccardo Scattolini:
Input-to-State Stability for Nonlinear Model Predictive Control. CDC 2006: 4836-4841 - 2005
- [j28]Lalo Magni, Riccardo Scattolini:
On the Solution of the Tracking Problem for Non-linear Systems with Mpc. Int. J. Syst. Sci. 36(8): 477-484 (2005) - [c10]Federico Di Palma, Antonella Ferrara, Riccardo Scattolini:
Some Results on the Stability of Multi-Controlled System. ISIC 2005: 1298-1302 - 2004
- [j27]Lalo Magni, Riccardo Scattolini:
Stabilizing model predictive control of nonlinear continuous time systems. Annu. Rev. Control. 28(1): 1-11 (2004) - [j26]Lalo Magni, Riccardo Scattolini:
Model predictive control of continuous-time nonlinear systems with piecewise constant control. IEEE Trans. Autom. Control. 49(6): 900-906 (2004) - [j25]Alberto Barigozzi, Lalo Magni, Riccardo Scattolini:
A probabilistic approach to fault diagnosis of industrial systems. IEEE Trans. Control. Syst. Technol. 12(6): 950-955 (2004) - 2003
- [c9]Antonella Ferrara, Riccardo Scattolini:
Robustness versus unmatched uncertainties of a hybrid variable structure control strategy. ECC 2003: 1286-1291 - 2002
- [j24]Lalo Magni, Riccardo Scattolini, C. Rossi:
Design methodology for diagnostic strategies for industrial systems. Int. J. Syst. Sci. 33(6): 505-512 (2002) - [j23]Antonella Ferrara, Lorenza Magnani, Riccardo Scattolini:
A globally stabilizing hybrid variable structure control strategy. IEEE Trans. Autom. Control. 47(8): 1334-1337 (2002) - [c8]Lalo Magni, Riccardo Scattolini:
State-feedback MPC with piecewise constant control for continuous-time nonlinear systems. CDC 2002: 4625-4630 - 2001
- [j22]Paolo Magni, Giuseppe De Nicolao, Lorenza Magnani, Riccardo Scattolini:
A stabilizing model-based predictive control algorithm for nonlinear systems. Autom. 37(9): 1351-1362 (2001) - [j21]Paolo Magni, Giuseppe De Nicolao, Riccardo Scattolini:
Output feedback and tracking of nonlinear systems with model predictive control. Autom. 37(10): 1601-1607 (2001) - [c7]Antonella Ferrara, Lorenza Magnani, Riccardo Scattolini:
Control of a large flexible space structure: a hybrid sliding mode approach. CDC 2001: 1404-1408 - [c6]Lalo Magni, S. Opizzi, Riccardo Scattolini:
Tracking of non-square nonlinear systems via model predictive control. ECC 2001: 951-956 - 2000
- [j20]Lalo Magni, Riccardo Scattolini, C. Rossi:
A fault detection and isolation method for complex industrial systems. IEEE Trans. Syst. Man Cybern. Part A 30(6): 860-865 (2000) - [c5]Giuseppe De Nicolao, Lorenza Magnani, Lalo Magni, Riccardo Scattolini:
A stabilizing receding horizon controller for nonlinear discrete time systems. ACC 2000: 270-271
1990 – 1999
- 1999
- [j19]L. Cavagnari, Lalo Magni, Riccardo Scattolini:
Neural Network Implementation of Nonlinear Receding-Horizon Control. Neural Comput. Appl. 8(1): 86-92 (1999) - [c4]Lalo Magni, G. De Nicoiao, Riccardo Scattolini:
Predictive control of nonlinear systems: Output feedback and tracking. ECC 1999: 3874-3879 - 1998
- [j18]Giuseppe De Nicolao, Lalo Magni, Riccardo Scattolini:
Stabilizing receding-horizon control of nonlinear time-varying systems. IEEE Trans. Autom. Control. 43(7): 1030-1036 (1998) - [c3]Giuseppe De Nicolao, Lalo Magni, Riccardo Scattolini:
Robustness of receding horizon control for nonlinear discrete-time systems. Robustness in Identification and Control 1998: 408-421 - 1997
- [j17]Giuseppe De Nicolao, Lalo Magni, Riccardo Scattolini:
Stabilizing Predictive Control of Nonlinear ARX Models. Autom. 33(9): 1691-1697 (1997) - 1996
- [j16]Gianni Ferretti, Claudio Maffezzoni, Riccardo Scattolini:
On the identifiability of the time delay with least-squares methods. Autom. 32(3): 449-453 (1996) - [j15]Giuseppe De Nicolao, Riccardo Scattolini, Gilda Sala:
An adaptive predictive regulator with input saturations. Autom. 32(4): 597-601 (1996) - [j14]Giuseppe De Nicolao, Lalo Magni, Riccardo Scattolini:
Robust predictive control of systems with uncertain impulse response. Autom. 32(10): 1475-1479 (1996) - [j13]Giuseppe De Nicolao, Lalo Magni, Riccardo Scattolini:
On the robustness of receding-horizon control with terminal constraints. IEEE Trans. Autom. Control. 41(3): 451-453 (1996) - [j12]Riccardo Scattolini, Nicola L. M. Schiavoni:
Decentralized control of multirate systems subject to arbitrary exogenous signals. IEEE Trans. Autom. Control. 41(10): 1540-1544 (1996) - 1995
- [j11]Riccardo Scattolini, Nicola L. M. Schiavoni:
A multirate model-based predictive controller. IEEE Trans. Autom. Control. 40(6): 1093-1097 (1995) - 1994
- [j10]Alberto Leva, Claudio Maffezzoni, Riccardo Scattolini:
Self-tuning PI-PID regulators for stable systems with varying delay. Autom. 30(7): 1171-1183 (1994) - [j9]David W. Clarke, Edoardo Mosca, Riccardo Scattolini:
Robustness of an adaptive predictive controller. IEEE Trans. Autom. Control. 39(5): 1052-1056 (1994) - 1993
- [j8]C. Santacesaria, Riccardo Scattolini:
Easy tuning of smith predictor in presence of delay uncertainty. Autom. 29(6): 1595-1597 (1993) - [j7]Riccardo Scattolini, Nicola L. M. Schiavoni:
On the output control of multirate systems subject to arbitrary exogenous signals. IEEE Trans. Autom. Control. 38(4): 643-646 (1993) - 1992
- [j6]Ezio Bassi, Francesco Benzi, Riccardo Scattolini:
Design of a digital adaptive controller for electrical drives in industrial applications. IEEE Trans. Ind. Electron. 39(2): 120-127 (1992) - 1991
- [j5]Gianni Ferretti, Claudio Maffezzoni, Riccardo Scattolini:
Recursive estimation of time delay in sampled systems. Autom. 27(4): 653-661 (1991) - 1990
- [j4]Patrizio Colaneri, Riccardo Scattolini, Nicola L. M. Schiavoni:
Stabilization of multirate sampled-data linear systems. Autom. 26(2): 377-380 (1990) - [j3]Riccardo Scattolini, Sergio Bittanti:
On the choice of the horizon in long-range predictive control - Some simple criteria. Autom. 26(5): 915-917 (1990)
1980 – 1989
- 1987
- [j2]Riccardo Scattolini, Nicola L. M. Schiavoni:
Generalized minimum variance control of MIMO systems - A stability result. Autom. 23(6): 797-799 (1987) - [c2]Sergio Bittanti, Paolo Bolzern, Riccardo Scattolini:
An Introduction to Software Reliability Modelling. Software Reliability Modelling and Identification 1987: 43-67 - [c1]Sergio Bittanti, Paolo Bolzern, E. Pedrotti, M. Pozzi, Riccardo Scattolini:
A Flexible Modelling Approach for Software Reliability Growth. Software Reliability Modelling and Identification 1987: 101-140 - 1986
- [j1]Riccardo Scattolini:
A multivariable self-tuning controller with integral action. Autom. 22(6): 619-627 (1986)
Coauthor Index
[j70] [i32] [c52] [i29] [i28] [j66] [c49] [c48] [i26] [i25] [i24] [j63] [i23] [i19] [j61] [j60] [c45] [i16] [i15] [j59] [j58] [c44] [c43] [i14] [i13] [i10] [i9] [j57] [j56] [c39] [c38] [c37] [i8] [i7] [i6] [i5] [i4] [j54] [c36] [j51] [j50] [c35] [j49] [j48] [j47] [c34] [c32] [i3] [j46] [j44] [j42] [c30] [c29] [c28] [c27] [i2] [i1] [j41] [j40] [c26] [c25] [c24] [c23] [j37] [j36] [c22] [c20]
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