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Guido Carnevale
Guido Carnevale
Junior Assistant Professor, University of Bologna
Verified email at unibo.it - Homepage
Title
Cited by
Cited by
Year
Distributed online aggregative optimization for dynamic multi-robot coordination
G Carnevale, A Camisa, G Notarstefano
IEEE Transactions on Automatic Control, 2022
352022
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
22*2022
Triggered gradient tracking for asynchronous distributed optimization
G Carnevale, I Notarnicola, L Marconi, G Notarstefano
Automatica 147, 110726, 2023
112023
Nonconvex distributed optimization via lasalle and singular perturbations
G Carnevale, G Notarstefano
IEEE Control Systems Letters 7, 301-306, 2022
102022
Aggregative feedback optimization for distributed cooperative robotics
G Carnevale, N Mimmo, G Notarstefano
IFAC-PapersOnLine 55 (13), 7-12, 2022
102022
Tracking-based distributed equilibrium seeking for aggregative games
G Carnevale, F Fabiani, F Fele, K Margellos, G Notarstefano
arXiv preprint arXiv:2210.14547, 2022
92022
Nonconvex distributed feedback optimization for aggregative cooperative robotics
G Carnevale, N Mimmo, G Notarstefano
arXiv preprint arXiv:2302.01892, 2023
42023
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
42020
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
22023
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
22022
Extremum seeking tracking for derivative-free distributed optimization
N Mimmo, G Carnevale, A Testa, G Notarstefano
arXiv preprint arXiv:2110.04234, 2021
22021
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
12023
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
12023
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
12023
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
2024
A Unifying System Theory Framework for Distributed Optimization and Games
G Carnevale, N Mimmo, G Notarstefano
arXiv preprint arXiv:2401.12623, 2024
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
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
2023
Distributed optimization and games over networks: a system theoretical perspective
G Carnevale
alma, 2023
2023
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