Marco Coraggio

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 33

Top Topics

Unconstrained Optimization

Reinforcement Learning

Distributed Control

Top Venues

IEEE Control. Syst. Lett.

IEEE Trans. Control. Netw. Syst.

Publications

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 (2024)
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) (2024)
Antonio Grotta, Marco Coraggio, Antonio Spallone, Francesco De Lellis, Mario di Bernardo
Learning-based cognitive architecture for enhancing coordination in human groups. CoRR (2024)
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 (2024)
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)
Andrea Giusti, Marco Coraggio, Mario di Bernardo
Local Convergence of Multi-Agent Systems Toward Rigid Lattices. IEEE Control. Syst. Lett. 7 (2023)
Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo
Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning. CoRR (2023)
Andrea Giusti, Marco Coraggio, Mario di Bernardo
Local convergence of multi-agent systems towards triangular patterns. CoRR (2023)
Francesco Lo Iudice, Ricardo Cardona Rivera, Antonio Grotta, Marco Coraggio, Mario di Bernardo
Consensus-based Distributed Intentional Controlled Islanding of Power Grids. CoRR (2023)
Marco Coraggio, Mario di Bernardo
Data-driven design of complex network structures to promote synchronization. CoRR (2023)
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) (2023)
Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo
CT-DQN: Control-Tutored Deep Reinforcement Learning. L4DC (2023)
Marco Coraggio, Saber Jafarpour, Francesco Bullo, Mario di Bernardo
Minimax Flow over Acyclic Networks: Distributed Algorithms and Microgrid Application. CoRR (2022)
Francesco De Lellis, Marco Coraggio, Giovanni Russo, Mirco Musolesi, Mario di Bernardo
CT-DQN: Control-Tutored Deep Reinforcement Learning. CoRR (2022)
Andrea Giusti, Gian Carlo Maffettone, Davide Fiore, Marco Coraggio, Mario di Bernardo
Distributed control for geometric pattern formation of large-scale multirobot systems. CoRR (2022)
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)
Marco Coraggio, Pietro DeLellis, Mario di Bernardo
Distributed Discontinuous Coupling for Convergence in Heterogeneous Networks. IEEE Control. Syst. Lett. 5 (3) (2021)
Marco Coraggio, Pietro De Lellis, Mario di Bernardo
Convergence and synchronization in networks of piecewise-smooth systems via distributed discontinuous coupling. Autom. 129 (2021)
Daniel Alberto Burbano Lombana, Marco Coraggio, Mario di Bernardo, Franco Garofalo, Michele Pugliese
Adaptive and quasi-sliding control of shimmy in landing gears. CoRR (2021)
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 (2021)
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)
Francesco De Lellis, Marco Coraggio, Giovanni Russo, M. Musolesi, Mario di Bernardo
Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control. CoRR (2021)
Ricardo Cardona Rivera, Francesco Lo Iudice, Antonio Grotta, Marco Coraggio, Mario di Bernardo
Utilizing synchronization to partition power networks into microgrids. CoRR (2021)
Marco Coraggio, Pietro DeLellis, Stephen John Hogan, Mario di Bernardo
Synchronization of networks of piecewise-smooth systems. CoRR (2021)
Marco Coraggio, Pietro De Lellis, Mario di Bernardo
Distributed Discontinuous Coupling for Convergence in Networks of Heterogeneous Nonlinear Systems. CoRR (2020)
Davide Marchese, Marco Coraggio, Stephen John Hogan, Mario di Bernardo
Control of Painlevé Paradox in a Robotic System. CoRR (2019)
Marco Coraggio, Pietro De Lellis, Mario di Bernardo
Achieving Convergence and Synchronization in Networks of Piecewise-Smooth Systems via Distributed Discontinuous Coupling. CoRR (2019)
Davide Marchese, Marco Coraggio, Stephen John Hogan, Mario di Bernardo
Control of Painlevé Paradox in a Robotic System. ECC (2019)
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)
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) (2018)
Marco Coraggio, Pietro De Lellis, Stephen John Hogan, Mario di Bernardo
Synchronization of Networks of Piecewise-Smooth Systems. IEEE Control. Syst. Lett. 2 (4) (2018)
Davide Fiore, Marco Coraggio, Mario di Bernardo
Observer design for piecewise smooth and switched systems via contraction theory. CoRR (2016)
Marco Coraggio, Martin E. Homer, Oliver D. Payton, Mario di Bernardo
Improved Control Strategies for Intermittent Contact Mode Atomic Force Microscopes. CoRR (2016)