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2020 – today
- 2024
[j10]Francesco De Lellis
, Marco Coraggio, Nathan C. Foster, Riccardo Villa, Cristina Becchio, Mario di Bernardo:
Data-Driven Architecture to Encode Information in the Kinematics of Robots and Artificial Avatars. IEEE Control. Syst. Lett. 8: 1919-1924 (2024)- [j9]Francesco Lo Iudice, Ricardo Cardona Rivera, Antonio Grotta, Marco Coraggio, Mario di Bernardo:
Consensus-Based Distributed Intentional Controlled Islanding of Power Grids. IEEE Trans. Control. Netw. Syst. 11(1): 233-243 (2024) - [j8]Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo:
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning. IEEE Trans. Control. Syst. Technol. 32(6): 2102-2113 (2024) - [c6]Marco Coraggio, Mario di Bernardo:
Data-driven design of complex network structures to promote synchronization. ACC 2024: 4396-4401 - [i19]Francesco De Lellis, Marco Coraggio, Nathan C. Foster, Riccardo Villa, Cristina Becchio, Mario di Bernardo:
Data-driven architecture to encode information in the kinematics of robots and artificial avatars. CoRR abs/2403.06557 (2024) - [i18]Antonio Grotta, Marco Coraggio, Antonio Spallone, Francesco De Lellis, Mario di Bernardo:
Learning-based cognitive architecture for enhancing coordination in human groups. CoRR abs/2406.06297 (2024) - 2023
- [j7]Andrea Giusti, Marco Coraggio, Mario di Bernardo:
Local Convergence of Multi-Agent Systems Toward Rigid Lattices. IEEE Control. Syst. Lett. 7: 2869-2874 (2023) - [j6]Andrea Giusti, Gian Carlo Maffettone, Davide Fiore, Marco Coraggio, Mario di Bernardo:
Distributed control for geometric pattern formation of large-scale multirobot systems. Frontiers Robotics AI 10 (2023) - [j5]Marco Coraggio, Saber Jafarpour, Francesco Bullo, Mario di Bernardo:
Minimax Flow Over Acyclic Networks: Distributed Algorithms and Microgrid Application. IEEE Trans. Control. Netw. Syst. 10(2): 937-946 (2023) - [c5]Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo:
CT-DQN: Control-Tutored Deep Reinforcement Learning. L4DC 2023: 941-953 - [i17]Francesco Lo Iudice, Ricardo Cardona Rivera, Antonio Grotta, Marco Coraggio, Mario di Bernardo:
Consensus-based Distributed Intentional Controlled Islanding of Power Grids. CoRR abs/2301.01167 (2023) - [i16]Andrea Giusti, Marco Coraggio, Mario di Bernardo:
Local convergence of multi-agent systems towards triangular patterns. CoRR abs/2303.11865 (2023) - [i15]Marco Coraggio, Mario di Bernardo:
Data-driven design of complex network structures to promote synchronization. CoRR abs/2309.10941 (2023) - [i14]Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo:
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning. CoRR abs/2311.10026 (2023) - 2022
- [c4]Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo:
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control. L4DC 2022: 1048-1059 - [i13]Marco Coraggio, Saber Jafarpour, Francesco Bullo, Mario di Bernardo:
Minimax Flow over Acyclic Networks: Distributed Algorithms and Microgrid Application. CoRR abs/2201.03310 (2022) - [i12]Andrea Giusti, Gian Carlo Maffettone, Davide Fiore, Marco Coraggio, Mario di Bernardo:
Distributed control for geometric pattern formation of large-scale multirobot systems. CoRR abs/2207.14567 (2022) - [i11]Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo:
CT-DQN: Control-Tutored Deep Reinforcement Learning. CoRR abs/2212.01343 (2022) - 2021
- [j4]Marco Coraggio, Pietro De Lellis, Mario di Bernardo:
Convergence and synchronization in networks of piecewise-smooth systems via distributed discontinuous coupling. Autom. 129: 109596 (2021) - [j3]Marco Coraggio, Pietro DeLellis, Mario di Bernardo:
Distributed Discontinuous Coupling for Convergence in Heterogeneous Networks. IEEE Control. Syst. Lett. 5(3): 1037-1042 (2021) - [c3]Marco Coraggio, Shihao Xie, Francesco De Lellis, Giovanni Russo, Mario di Bernardo:
Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization. CDC 2021: 3538-3543 - [i10]Marco Coraggio, Shihao Xie, Francesco De Lellis, Giovanni Russo, Mario di Bernardo:
Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization. CoRR abs/2103.16502 (2021) - [i9]Ricardo Cardona Rivera, Francesco Lo Iudice, Antonio Grotta, Marco Coraggio, Mario di Bernardo:
Utilizing synchronization to partition power networks into microgrids. CoRR abs/2107.12165 (2021) - [i8]Marco Coraggio, Pietro DeLellis, Stephen John Hogan, Mario di Bernardo:
Synchronization of networks of piecewise-smooth systems. CoRR abs/2111.06964 (2021) - [i7]Daniel Alberto Burbano Lombana, Marco Coraggio, Mario di Bernardo, Franco Garofalo, Michele Pugliese:
Adaptive and quasi-sliding control of shimmy in landing gears. CoRR abs/2111.06972 (2021) - [i6]Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo:
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control. CoRR abs/2112.06018 (2021) - 2020
- [i5]Marco Coraggio, Pietro De Lellis, Mario di Bernardo:
Distributed Discontinuous Coupling for Convergence in Networks of Heterogeneous Nonlinear Systems. CoRR abs/2003.10348 (2020)
2010 – 2019
- 2019
- [c2]Davide Marchese, Marco Coraggio, Stephen John Hogan, Mario di Bernardo:
Control of Painlevé Paradox in a Robotic System. ECC 2019: 2620-2625 - [i4]Marco Coraggio, Pietro De Lellis, Mario di Bernardo:
Achieving Convergence and Synchronization in Networks of Piecewise-Smooth Systems via Distributed Discontinuous Coupling. CoRR abs/1905.05863 (2019) - [i3]Davide Marchese, Marco Coraggio, Stephen John Hogan, Mario di Bernardo:
Control of Painlevé Paradox in a Robotic System. CoRR abs/1907.04070 (2019) - 2018
- [j2]Marco Coraggio, Pietro De Lellis, Stephen John Hogan, Mario di Bernardo:
Synchronization of Networks of Piecewise-Smooth Systems. IEEE Control. Syst. Lett. 2(4): 653-658 (2018) - [j1]Marco Coraggio, Martin E. Homer, Oliver D. Payton, Mario di Bernardo:
Improved Control Strategies for Atomic Force Microscopes in Intermittent Contact Mode. IEEE Trans. Control. Syst. Technol. 26(5): 1673-1684 (2018) - [c1]Daniel A. Burbano L., Marco Coraggio, Mario di Bernardo, Franco Garofalo, Michele Pugliese:
Adaptive and quasi-sliding control of shimmy in landing gears. ECC 2018: 563-568 - 2016
- [i2]Marco Coraggio, Martin E. Homer, Oliver D. Payton, Mario di Bernardo:
Improved Control Strategies for Intermittent Contact Mode Atomic Force Microscopes. CoRR abs/1609.05245 (2016) - [i1]Davide Fiore, Marco Coraggio, Mario di Bernardo:
Observer design for piecewise smooth and switched systems via contraction theory. CoRR abs/1611.02518 (2016)
Coauthor Index
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last updated on 2024-12-10 21:42 CET by the dblp team
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