Improved Control Strategies for Intermittent Contact Mode Atomic Force Microscopes. - Marco Coraggio; Martin E. Homer; Oliver D. Payton; Mario di Bernardo (CoRR, 2016)

Observer design for piecewise smooth and switched systems via contraction theory. - Davide Fiore; Marco Coraggio; Mario di Bernardo (CoRR, 2016)

Adaptive and quasi-sliding control of shimmy in landing gears. - Daniel A. Burbano L.; Marco Coraggio; Mario di Bernardo; Franco Garofalo; Michele Pugliese (ECC, 2018)

Synchronization of Networks of Piecewise-Smooth Systems. - Marco Coraggio; Pietro De Lellis; Stephen John Hogan; Mario di Bernardo (IEEE Control. Syst. Lett., 2018)

Improved Control Strategies for Atomic Force Microscopes in Intermittent Contact Mode. - Marco Coraggio; Martin E. Homer; Oliver D. Payton; Mario di Bernardo (IEEE Trans. Control. Syst. Technol., 2018)

Control of Painlevé Paradox in a Robotic System. - Davide Marchese; Marco Coraggio; Stephen John Hogan; Mario di Bernardo (ECC, 2019)

Achieving Convergence and Synchronization in Networks of Piecewise-Smooth Systems via Distributed Discontinuous Coupling. - Marco Coraggio; Pietro De Lellis; Mario di Bernardo (CoRR, 2019)

Distributed Discontinuous Coupling for Convergence in Networks of Heterogeneous Nonlinear Systems. - Marco Coraggio; Pietro De Lellis; Mario di Bernardo (CoRR, 2020)

Intermittent non-pharmaceutical strategies to mitigate the COVID-19 epidemic in a network model of Italy via constrained optimization. - Marco Coraggio; Shihao Xie; Francesco De Lellis; Giovanni Russo 002; Mario di Bernardo (CDC, 2021)

Convergence and synchronization in networks of piecewise-smooth systems via distributed discontinuous coupling. - Marco Coraggio; Pietro De Lellis; Mario di Bernardo (Autom., 2021)

Utilizing synchronization to partition power networks into microgrids. - Ricardo Cardona Rivera; Francesco Lo Iudice; Antonio Grotta; Marco Coraggio; Mario di Bernardo (CoRR, 2021)

Distributed Discontinuous Coupling for Convergence in Heterogeneous Networks. - Marco Coraggio; Pietro DeLellis; Mario di Bernardo (IEEE Control. Syst. Lett., 2021)

Control-Tutored Reinforcement Learning: Towards the Integration of Data-Driven and Model-Based Control. - Francesco De Lellis; Marco Coraggio; Giovanni Russo 002; Mirco Musolesi; Mario di Bernardo (L4DC, 2022)

CT-DQN: Control-Tutored Deep Reinforcement Learning. - Francesco De Lellis; Marco Coraggio; Giovanni Russo 001; Mirco Musolesi; Mario di Bernardo (CoRR, 2022)

CT-DQN: Control-Tutored Deep Reinforcement Learning. - Francesco De Lellis; Marco Coraggio; Giovanni Russo 002; Mirco Musolesi; Mario di Bernardo (L4DC, 2023)

Local convergence of multi-agent systems towards triangular patterns. - Andrea Giusti; Marco Coraggio; Mario di Bernardo (CoRR, 2023)

Local Convergence of Multi-Agent Systems Toward Rigid Lattices. - Andrea Giusti; Marco Coraggio; Mario di Bernardo (IEEE Control. Syst. Lett., 2023)

Distributed control for geometric pattern formation of large-scale multirobot systems. - Andrea Giusti; Gian Carlo Maffettone; Davide Fiore; Marco Coraggio; Mario di Bernardo (Frontiers Robotics AI, 2023)

Minimax Flow Over Acyclic Networks: Distributed Algorithms and Microgrid Application. - Marco Coraggio; Saber Jafarpour; Francesco Bullo; Mario di Bernardo (IEEE Trans. Control. Netw. Syst., 2023)

Data-driven design of complex network structures to promote synchronization. - Marco Coraggio; Mario di Bernardo (ACC, 2024)

Learning-based cognitive architecture for enhancing coordination in human groups. - Antonio Grotta; Marco Coraggio; Antonio Spallone; Francesco De Lellis; Mario di Bernardo (CoRR, 2024)

Data-Driven Architecture to Encode Information in the Kinematics of Robots and Artificial Avatars. - Francesco De Lellis; Marco Coraggio; Nathan C. Foster; Riccardo Villa; Cristina Becchio; Mario di Bernardo (IEEE Control. Syst. Lett., 2024)

Consensus-Based Distributed Intentional Controlled Islanding of Power Grids. - Francesco Lo Iudice; Ricardo Cardona Rivera; Antonio Grotta; Marco Coraggio; Mario di Bernardo (IEEE Trans. Control. Netw. Syst., 2024)

Guaranteeing Control Requirements via Reward Shaping in Reinforcement Learning. - Francesco De Lellis; Marco Coraggio; Giovanni Russo 002; Mirco Musolesi; Mario di Bernardo (IEEE Trans. Control. Syst. Technol., 2024)

A Personalized Data-Driven Generative Model of Human Motion. - Angelo Di Porzio; Marco Coraggio (CoRR, 2025)

Controlling Complex Systems. - Marco Coraggio; Davide Salzano; Mario di Bernardo (CoRR, 2025)