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]Open Access
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
