Brumali, Riccardo; Carnevale, Guido; Notarstefano, Giuseppe, Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning, «IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS», 2026, Early access, pp. 1 - 12 [Scientific article]
Sforni, Lorenzo; Carnevale, Guido; Notarstefano, Giuseppe, A Distributed Feedback-based Framework for Nonlinear Aggregative Optimal Control, «IEEE TRANSACTIONS ON AUTOMATIC CONTROL», 2025, 70, pp. 3784 - 3799 [Scientific article]Open Access
Messilem, A. Mohamed; Brumali, Riccardo; Carnevale, Guido; Notarstefano, Giuseppe; Carli, Ruggero, A Distributed MILP-ADMM Framework for Italian Energy Communities: Shared Energy Incentives, Renewables, and Shiftable Loads, in: IFAC-PapersOnLine, Elsevier B.V., 2025, 59, pp. 19 - 24 (atti di: 1st IFAC Workshop on Smart Energy System for Efficient and Sustainable Smart Grids and Smart Cities, SENSYS 2025, Politecnico di Bari, ita, 2025) [Contribution to conference proceedings]Open Access
Brumali, Riccardo; Carnevale, Guido; Notarstefano, Giuseppe, A Feedback-Based Distributed Method for Multiscale Optimal Control of Multi-Agent Systems, in: 2025 IEEE 64th Conference on Decision and Control (CDC), 2025, pp. 1863 - 1868 (atti di: 2025 IEEE 64th Conference on Decision and Control (CDC), Rio de Janeiro, Brazil, 09-12/12/2025) [Contribution to conference proceedings]
Testa, Andrea; Carnevale, Guido; Notarstefano, Giuseppe, A Tutorial on Distributed Optimization for Cooperative Robotics: From Setups and Algorithms to Toolboxes and Research Directions, «PROCEEDINGS OF THE IEEE», 2025, 113, Article number: 10969623 , pp. 40 - 65 [Scientific article]Open Access
Carnevale, Guido; Mimmo, Nicola; Notarstefano, Giuseppe, A Unifying System Theory Framework for Distributed Optimization and Games, «IEEE TRANSACTIONS ON AUTOMATIC CONTROL», 2025, Early Access, pp. 1 - 16 [Scientific article]
Carnevale, Guido; Bastianello, Nicola; Notarstefano, Giuseppe; Carli, Ruggero, ADMM-Tracking Gradient for Distributed Optimization Over Asynchronous and Unreliable Networks, «IEEE TRANSACTIONS ON AUTOMATIC CONTROL», 2025, 70, Article number: 10876579 , pp. 5160 - 5175 [Scientific article]Open Access
Carnevale, Guido; Notarstefano, Giuseppe, Almost Sure Convergence in Feedback Optimization via Stochastic Timescale Separation, in: 2025 IEEE 64th Conference on Decision and Control (CDC), 2025, pp. 585 - 590 (atti di: 2025 IEEE 64th Conference on Decision and Control (CDC), Rio de Janeiro, Brazil, 09-12/12/2025) [Contribution to conference proceedings]
Messilem, A. Mohamed; Lauri, Andrea; Carnevale, Guido; Biadene, Davide; Caldognetto, Tommaso; Carli, Ruggero, Ancillary Services through Coordinated Distributed Power Electronic Converters in Three-Phase Microgrids, in: IFAC-PapersOnLine, Elsevier B.V., 2025, 59, pp. 333 - 338 (atti di: 1st IFAC Workshop on Smart Energy System for Efficient and Sustainable Smart Grids and Smart Cities, SENSYS 2025, Politecnico di Bari, ita, 18 - 20 Giugno 2025) [Contribution to conference proceedings]Open Access
Carnevale, Guido; Notarstefano, Giuseppe, Data-Driven nonlinear optimal control via feedback-based extremum seeking, in: 2025 IEEE 64th Conference on Decision and Control (CDC), 2025, pp. 1024 - 1029 (atti di: 2025 IEEE 64th Conference on Decision and Control (CDC), Rio de Janeiro, Brazil, 09-12/12/2025) [Contribution to conference proceedings]
Messilem, A. Mohamed; Carnevale, Guido; Carli, Ruggero, Distributed Constraint-Coupled Optimization: Harnessing ADMM-consensus for robustness, in: IFAC-PapersOnLine, Elsevier B.V., 2025, 59, pp. 193 - 198 (atti di: 10th IFAC Conference on Networked Systems, NECSYS 2025, Clearwater Bay Campus, the Hong Kong University of Science and Technology (HKUST), hkg, 2025) [Contribution to conference proceedings]Open Access
Brumali, Riccardo; Carnevale, Guido; Notarstefano, Giuseppe, Distributed learning and optimization of a multi-agent macroscopic probabilistic model, «EUROPEAN JOURNAL OF CONTROL», 2025, 86, Article number: 101332 , pp. 1 - 7 [Scientific article]
Carnevale, Guido; Bastianello, Nicola; Notarstefano, Giuseppe; Carli, Ruggero, Distributed Newton Optimization with ADMM-Based Consensus, in: Berberich, Jiulian Iannelli, Andrea Allgower, Frank, Systems Theory in Data and Optimization. SysDO 2024. Lecture Notes in Control and Information Sciences - Proceedings, Berlino, Springer, 2025, pp. 313 - 329 (atti di: Systems Theory in Data and Optimization. SysDO 2024., Stuttgart, Germany, September 30, 2024 – October 2, 2024) [Contribution to conference proceedings]
Carnevale, Guido; Bastianello, Nicola, Modular Distributed Nonconvex Learning With Error Feedback, «IEEE CONTROL SYSTEMS LETTERS», 2025, 9, Article number: 11052304 , pp. 1604 - 1609 [Scientific article]Open Access
Brumali, R.; Carnevale, G.; Notarstefano, G., A Deep Learning Approach for Distributed Aggregative Optimization with Users’ Feedback, in: Proceedings of Machine Learning Research, ML Research Press, 2024, 242, pp. 1552 - 1564 (atti di: 6th Annual Learning for Dynamics and Control Conference, L4DC 2024, Oxford, 2024) [Contribution to conference proceedings]Open Access
