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., «PROCEEDINGS OF THE IEEE CONFERENCE ON DECISION & CONTROL», 2022, 2022-, pp. 1576 - 1581 (atti di: 61st IEEE Conference on Decision and Control, CDC 2022, mex, 2022) [Contributo in Atti di convegno]
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., «IFAC-PAPERSONLINE», 2022, 55, pp. 7 - 12 (atti di: 9th IFAC Conference on Networked Systems, NECSYS 2022, Zurich, Switzerland, 2022) [Contributo in Atti di convegno]Open Access
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., «IFAC-PAPERSONLINE», 2020, 53, pp. 2696 - 2701 (atti di: 21st IFAC World Congress 2020, Berlin, 11–17 July 2020) [Contributo in Atti di convegno]Open Access
