Distributed online aggregative optimization for dynamic multirobot coordination G Carnevale, A Camisa, G Notarstefano IEEE Transactions on Automatic Control 68 (6), 3736-3743, 2022 | 39 | 2022 |
GTAdam: Gradient Tracking with Adaptive Momentum for Distributed Online Optimization G Carnevale, F Farina, I Notarnicola, G Notarstefano IEEE Transactions on Control of Network Systems, 2022, 2022 | 26* | 2022 |
Triggered gradient tracking for asynchronous distributed optimization G Carnevale, I Notarnicola, L Marconi, G Notarstefano Automatica 147, 110726, 2023 | 17 | 2023 |
Aggregative feedback optimization for distributed cooperative robotics G Carnevale, N Mimmo, G Notarstefano IFAC-PapersOnLine 55 (13), 7-12, 2022 | 12 | 2022 |
Tracking-based distributed equilibrium seeking for aggregative games G Carnevale, F Fabiani, F Fele, K Margellos, G Notarstefano IEEE Transactions on Automatic Control, 2024 | 11 | 2024 |
Nonconvex distributed optimization via lasalle and singular perturbations G Carnevale, G Notarstefano IEEE Control Systems Letters 7, 301-306, 2022 | 11 | 2022 |
Nonconvex distributed feedback optimization for aggregative cooperative robotics G Carnevale, N Mimmo, G Notarstefano Automatica 167, 111767, 2024 | 6 | 2024 |
Enhanced gradient tracking algorithms for distributed quadratic optimization via sparse gain design G Carnevale, M Bin, I Notarnicola, L Marconi, G Notarstefano IFAC-PapersOnLine 53 (2), 2696-2701, 2020 | 5 | 2020 |
A learning-based distributed algorithm for personalized aggregative optimization G Carnevale, G Notarstefano 2022 IEEE 61st Conference on Decision and Control (CDC), 1576-1581, 2022 | 4 | 2022 |
Distributed consensus optimization via ADMM-tracking gradient G Carnevale, N Bastianello, R Carli, G Notarstefano 2023 62nd IEEE Conference on Decision and Control (CDC), 290-295, 2023 | 3 | 2023 |
A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance L Pichierri, G Carnevale, L Sforni, A Testa, G Notarstefano 2023 IEEE International Conference on Robotics and Automation (ICRA), 5537-5543, 2023 | 3 | 2023 |
ADMM-tracking gradient for distributed optimization over asynchronous and unreliable networks G Carnevale, N Bastianello, G Notarstefano, R Carli arXiv preprint arXiv:2309.14142, 2023 | 2 | 2023 |
A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions A Testa, G Carnevale, G Notarstefano arXiv preprint arXiv:2309.04257, 2023 | 2 | 2023 |
Extremum seeking tracking for derivative-free distributed optimization N Mimmo, G Carnevale, A Testa, G Notarstefano arXiv preprint arXiv:2110.04234, 2021 | 2 | 2021 |
Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient L Sforni, G Carnevale, I Notarnicola, G Notarstefano arXiv preprint arXiv:2403.05367, 2024 | 1 | 2024 |
A unifying system theory framework for distributed optimization and games G Carnevale, N Mimmo, G Notarstefano arXiv preprint arXiv:2401.12623, 2024 | 1 | 2024 |
On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares L Sforni, G Carnevale, I Notarnicola, G Notarstefano 2023 62nd IEEE Conference on Decision and Control (CDC), 5047-5052, 2023 | 1 | 2023 |
A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization A Olama, G Carnevale, G Notarstefano, E Camponogara 2023 9th International Conference on Control, Decision and Information …, 2023 | 1 | 2023 |
A deep learning approach for distributed aggregative optimization with users’ Feedback R Brumali, G Carnevale, G Notarstefano 6th Annual Learning for Dynamics & Control Conference, 1552-1564, 2024 | | 2024 |
Distributed optimization and games over networks: a system theoretical perspective G Carnevale alma, 2023 | | 2023 |