Foto del docente

Giuseppe Notarstefano

Full Professor

Department of Electrical, Electronic, and Information Engineering "Guglielmo Marconi"

Academic discipline: IINF-04/A Systems and Control Engineering

Publications

Pichierri, Lorenzo; Carnevale, Guido; Sforni, Lorenzo; Notarstefano, Giuseppe, Multi-Robot Target Monitoring and Encirclement via Triggered Distributed Feedback Optimization, «IEEE TRANSACTIONS ON ROBOTICS», in corso di stampa, Early access, pp. 1 - 14 [Scientific article]

Coordination of a Research Project: OPT4SMART (Distributed Optimization Methods for Smart Cyber-Physical Networks).

Bosso, A.; Borghesi, M.; Iannelli, A.; Notarstefano, G.; Teel, A. R., Data-Driven Control of Continuous-Time LTI Systems via Non-Minimal Realizations, «IEEE TRANSACTIONS ON AUTOMATIC CONTROL», 2026, 71, Article number: 11474915 , pp. 5649 - 5664 [Scientific article]Open Access

Brumali, Riccardo; Carnevale, Guido; Notarstefano, Giuseppe, Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning, «IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS», 2026, 13, Article number: 11339521 , pp. 674 - 685 [Scientific article]Open Access

Tramaloni, A.; Testa, A.; Avnet, S.; Massari, S.; Pompo, G. Di; Baldini, N.; Notarstefano, G., Modeling and Tracking of Heterogeneous Cell Populations via Open Multi-Agent Systems, «IEEE/ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS», 2026, PP, pp. 1 - 14 [Scientific article]

Borghesi, M.; Bosso, A.; Notarstefano, G., MR-ARL: Model Reference Adaptive Reinforcement Learning for Robustly Stable On-Policy Data-Driven LQR, «IEEE TRANSACTIONS ON AUTOMATIC CONTROL», 2026, 71, Article number: 11168235 , pp. 1129 - 1144 [Scientific article]

Sforni, Lorenzo; Carnevale, Guido; Notarnicola, Ivano; Notarstefano, Giuseppe, Stability-certified on-policy data-driven LQR via recursive learning and policy gradient, «AUTOMATICA», 2026, 191, Article number: 113101 , pp. 1 - 12 [Scientific article]Open Access

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), New York, IEEE, 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]Open Access

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; Notarstefano, Giuseppe, Accelerating Model-Free Optimization via Averaging of Cost Samples, in: Advances in Neural Information Processing Systems 38 Main Conference (NeurIPS 2025), New York, NeurIPS, 2025, pp. 102017 - 102043 (atti di: Advances in Neural Information Processing Systems 38 Main Conference (NeurIPS 2025), San Diego, USA, 1-7/12/2025) [Contribution to conference proceedings]

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]

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