- 2022
- Fabrizia Auletta, Davide Fiore, Michael J. Richardson, Mario di Bernardo:
Herding stochastic autonomous agents via local control rules and online target selection strategies. Auton. Robots 46(3): 469-481 (2022) - Davide Fiore, Fabio Della Rossa, Agostino Guarino, Mario di Bernardo:
Feedback Ratiometric Control of Two Microbial Populations in a Single Chemostat. IEEE Control. Syst. Lett. 6: 800-805 (2022) - Vittoria Martinelli, Davide Salzano, Davide Fiore, Mario di Bernardo:
Multicellular PI Control for Gene Regulation in Microbial Consortia. IEEE Control. Syst. Lett. 6: 3373-3378 (2022) - Mario A. Navarro, Diego Oliva, Alfonso Ramos-Michel, Daniel Zaldivar, Bernardo Morales-Castañeda, Marco Antonio Pérez Cisneros, Arturo Valdivia, Huiling Chen:
An improved multi-population whale optimization algorithm. Int. J. Mach. Learn. Cybern. 13(9): 2447-2478 (2022) - Giovanni Russo, Mario di Bernardo, Eduardo D. Sontag:
Erratum to "A Contraction Approach to the Hierarchical Analysis and Design of Networked Systems". IEEE Trans. Autom. Control. 67(8): 4384 (2022) - Bernardo Morales-Castañeda, Oscar Maciel-Castillo, Mario A. Navarro, Itzel Aranguren, Arturo Valdivia, Alfonso Ramos-Michel, Diego Oliva, Salvador Hinojosa:
Handling stagnation through diversity analysis: A new set of operators for evolutionary algorithms. CEC 2022: 1-7 - Mario A. Navarro, Alfonso Ramos-Michel, Bernardo Morales-Castañeda, Oscar Maciel-Castillo, Itzel Aranguren, Arturo Valdivia, Diego Oliva, Seyed Jalaleddin Mousavirad:
Improving the optimization performance by an adaptable design: A dynamic selection of operators via criteria-based matrix for evolutionary algorithms. CEC 2022: 1-8 - Fabrizia Auletta, Gaurav Patil, Rachel W. Kallen, Mario di Bernardo, Michael J. Richardson:
Modeling and Understanding Future Action Decisions of Players during Online Gaming. HAI 2022: 324-326 - Francesco Martella, Maria Fazio, Giuseppe Ciulla, Roberto Di Bernardo, Antonio Celesti, Valeria Lukaj, Mario Colosi, Massimo Di Gangi, Massimo Villari:
An Edge System for the Safety of Cyclists in the Urban Area. ISC2 2022: 1-7 - 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 - Franca Giannini, Mario Alvise Di Bernardo, Katia Lupinetti, Sara Anastasi, Luigi Monica, Marina Monti, Giuseppe Augugliaro:
Digital content interaction in 3D environments. MetroXRAINE 2022: 404-409 - Marco Coraggio, Saber Jafarpour, Francesco Bullo, Mario di Bernardo:
Minimax Flow over Acyclic Networks: Distributed Algorithms and Microgrid Application. CoRR abs/2201.03310 (2022) - Sara Maria Brancato, Francesco De Lellis, Davide Salzano, Giovanni Russo, Mario di Bernardo:
External control of a genetic toggle switch via Reinforcement Learning. CoRR abs/2204.04972 (2022) - Fabrizia Auletta, Rachel W. Kallen, Mario di Bernardo, Michael J. Richardson:
Predicting and Understanding Human Action Decisions during Skillful Joint-Action via Machine Learning and Explainable-AI. CoRR abs/2206.02739 (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 abs/2207.14567 (2022) - Gian Carlo Maffettone, Alain Boldini, Mario di Bernardo, Maurizio Porfiri:
Continuification-based control of large multiagent systems in a ring. CoRR abs/2209.15060 (2022) - 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
- 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) - Marco Coraggio, Pietro DeLellis, Mario di Bernardo:
Distributed Discontinuous Coupling for Convergence in Heterogeneous Networks. IEEE Control. Syst. Lett. 5(3): 1037-1042 (2021) - Davide Fiore, Davide Salzano, Enric Cristòbal-Cóppulo, Josep M. Olm, Mario di Bernardo:
Multicellular Feedback Control of a Genetic Toggle-Switch in Microbial Consortia. IEEE Control. Syst. Lett. 5(1): 151-156 (2021) - Maria Lombardi, Davide Liuzza, Mario di Bernardo:
Dynamic Input Deep Learning Control of Artificial Avatars in a Multi-Agent Joint Motor Task. Frontiers Robotics AI 8: 665301 (2021) - Maria Lombardi, Davide Liuzza, Mario di Bernardo:
Using Learning to Control Artificial Avatars in Human Motor Coordination Tasks. IEEE Trans. Robotics 37(6): 2067-2082 (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: 3538-3543 - Francesco De Lellis, Giovanni Russo, Mario di Bernardo:
Tutoring Reinforcement Learning via Feedback Control. ECC 2021: 580-585 - 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) - 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) - Marco Coraggio, Pietro DeLellis, Stephen John Hogan, Mario di Bernardo:
Synchronization of networks of piecewise-smooth systems. CoRR abs/2111.06964 (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 abs/2111.06972 (2021) - 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
- Anna Di Meglio, Pietro De Lellis, Mario di Bernardo:
Decentralized Gain Adaptation for Optimal Pinning Controllability of Complex Networks. IEEE Control. Syst. Lett. 4(1): 253-258 (2020)