Foto del docente

Guido Carnevale

Junior assistant professor (fixed-term)

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

Academic discipline: ING-INF/04 Systems and Control Engineering

Publications

Guido Carnevale; Filippo Fabiani; Filiberto Fele; Kostas Margellos; Giuseppe Notarstefano, Tracking-Based Distributed Equilibrium Seeking for Aggregative Games, «IEEE TRANSACTIONS ON AUTOMATIC CONTROL», 2024, Early Access, pp. 1 - 16 [Scientific article]

Pichierri, Lorenzo; Carnevale, Guido; Sforni, Lorenzo; Testa, Andrea; Notarstefano, Giuseppe, A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance, in: 2023 IEEE International Conference on Robotics and Automation (ICRA, 2023, pp. 5537 - 5543 (atti di: IEEE International Conference on Robotics and Automation, Londra, 29 May – 2 June 2023) [Contribution to conference proceedings]

Olama A.; Carnevale G.; Notarstefano G.; Camponogara E., A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization, in: 9th 2023 International Conference on Control, Decision and Information Technologies, CoDIT 2023, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 2360 - 2365 (atti di: 9th International Conference on Control, Decision and Information Technologies, CoDIT 2023, University of Rome La Sapienza, Facolta di lngegneria Civile e lndustriale, ita, 2023) [Contribution to conference proceedings]

Carnevale G.; Bastianello N.; Carli R.; Notarstefano G., Distributed Consensus Optimization via ADMM-Tracking Gradient, in: Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 290 - 295 (atti di: 62nd IEEE Conference on Decision and Control, CDC 2023, sgp, 2023) [Contribution to conference proceedings]

Carnevale G.; Camisa A.; Notarstefano G., Distributed Online Aggregative Optimization for Dynamic Multi-Robot Coordination, «IEEE TRANSACTIONS ON AUTOMATIC CONTROL», 2023, PP, pp. 1 - 8 [Scientific article]

Guido Carnevale; Francesco Farina; Ivano Notarnicola; Giuseppe Notarstefano, GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization, «IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS», 2023, 10, Article number: 9999485 , pp. 1436 - 1448 [Scientific article]Open Access

Carnevale, G; Notarstefano, G, Nonconvex Distributed Optimization via Lasalle and Singular Perturbations, «IEEE CONTROL SYSTEMS LETTERS», 2023, 7, Article number: 9812748 , pp. 301 - 306 [Scientific article]Open Access

Sforni L.; Carnevale G.; Notarnicola I.; Notarstefano G., On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares, in: Proceedings of the IEEE Conference on Decision and Control, Institute of Electrical and Electronics Engineers Inc., 2023, pp. 5047 - 5052 (atti di: 62nd IEEE Conference on Decision and Control, CDC 2023, Singapore, 2023) [Contribution to conference proceedings]

Carnevale G.; Notarnicola I.; Marconi L.; Notarstefano G., Triggered Gradient Tracking for asynchronous distributed optimization, «AUTOMATICA», 2023, 147, Article number: 110726 , pp. 1 - 12 [Scientific article]

Carnevale G.; Notarstefano G., A Learning-based Distributed Algorithm for Personalized Aggregative Optimization, in: Proceedings of the IEEE Conference on Decision and Control, 345 E 47TH ST, NEW YORK, NY 10017 USA, Institute of Electrical and Electronics Engineers Inc., 2022, 2022-, pp. 1576 - 1581 (atti di: 61st IEEE Conference on Decision and Control, CDC 2022, mex, 2022) [Contribution to conference proceedings]

Carnevale G.; Mimmo N.; Notarstefano G., Aggregative feedback optimization for distributed cooperative robotics, in: IFAC-PapersOnLine, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS, Elsevier B.V., 2022, 55, pp. 7 - 12 (atti di: 9th IFAC Conference on Networked Systems, NECSYS 2022, Zurich, Switzerland, 2022) [Contribution to conference proceedings]

Carnevale G.; Bin M.; Notarnicola I.; Marconi L.; Notarstefano G., Enhanced gradient tracking algorithms for distributed quadratic optimization via sparse gain design, in: 21st IFAC World Congress Berlin, Germany, 11–17 July 2020 Proceedings, Elsevier B.V., 2020, 53, pp. 2696 - 2701 (atti di: 21st IFAC World Congress 2020, Berlin, 11–17 July 2020) [Contribution to conference proceedings]Open Access

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