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Guido Carnevale
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2020 – today
- 2024
- [j5]Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano:
Nonconvex distributed feedback optimization for aggregative cooperative robotics. Autom. 167: 111767 (2024) - [c6]Riccardo Brumali, Guido Carnevale, Giuseppe Notarstefano:
A deep learning approach for distributed aggregative optimization with users' feedback. L4DC 2024: 1552-1564 - [i9]Lorenzo Sforni, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano:
Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient. CoRR abs/2403.05367 (2024) - 2023
- [b1]Guido Carnevale:
Distributed optimization and games over networks: a system theoretical perspective. University of Bologna, Italy, 2023 - [j4]Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano:
Triggered Gradient Tracking for asynchronous distributed optimization. Autom. 147: 110726 (2023) - [j3]Guido Carnevale
, Giuseppe Notarstefano
:
Nonconvex Distributed Optimization via Lasalle and Singular Perturbations. IEEE Control. Syst. Lett. 7: 301-306 (2023) - [j2]Guido Carnevale
, Andrea Camisa
, Giuseppe Notarstefano
:
Distributed Online Aggregative Optimization for Dynamic Multirobot Coordination. IEEE Trans. Autom. Control. 68(6): 3736-3743 (2023) - [j1]Guido Carnevale
, Francesco Farina
, Ivano Notarnicola
, Giuseppe Notarstefano
:
GTAdam: Gradient Tracking With Adaptive Momentum for Distributed Online Optimization. IEEE Trans. Control. Netw. Syst. 10(3): 1436-1448 (2023) - [c5]Guido Carnevale, Nicola Bastianello, Ruggero Carli, Giuseppe Notarstefano:
Distributed Consensus Optimization via ADMM-Tracking Gradient. CDC 2023: 290-295 - [c4]Lorenzo Sforni
, Guido Carnevale, Ivano Notarnicola, Giuseppe Notarstefano:
On-Policy Data-Driven Linear Quadratic Regulator via Combined Policy Iteration and Recursive Least Squares. CDC 2023: 5047-5052 - [c3]Alireza Olama
, Guido Carnevale, Giuseppe Notarstefano, Eduardo Camponogara:
A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization. CoDIT 2023: 1-6 - [c2]Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni
, Andrea Testa, Giuseppe Notarstefano:
A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance. ICRA 2023: 5537-5543 - [i8]Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano:
Nonconvex Distributed Feedback Optimization for Aggregative Cooperative Robotics. CoRR abs/2302.01892 (2023) - [i7]Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni
, Andrea Testa, Giuseppe Notarstefano:
A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance. CoRR abs/2304.14016 (2023) - [i6]Andrea Testa, Guido Carnevale, Giuseppe Notarstefano:
A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions. CoRR abs/2309.04257 (2023) - 2022
- [c1]Guido Carnevale, Giuseppe Notarstefano:
A Learning-based Distributed Algorithm for Personalized Aggregative Optimization. CDC 2022: 1576-1581 - [i5]Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano:
Triggered Gradient Tracking for Asynchronous Distributed Optimization. CoRR abs/2203.02210 (2022) - [i4]Guido Carnevale, Filippo Fabiani, Filiberto Fele
, Kostas Margellos, Giuseppe Notarstefano:
Tracking-based distributed equilibrium seeking for aggregative games. CoRR abs/2210.14547 (2022) - 2021
- [i3]Guido Carnevale, Andrea Camisa, Giuseppe Notarstefano:
Distributed Online Aggregative Optimization for Dynamic Multi-robot Coordination. CoRR abs/2104.09847 (2021) - [i2]Nicola Mimmo, Guido Carnevale, Andrea Testa, Giuseppe Notarstefano:
Extremum Seeking Tracking for Derivative-free Distributed Optimization. CoRR abs/2110.04234 (2021) - 2020
- [i1]Guido Carnevale, Francesco Farina, Ivano Notarnicola, Giuseppe Notarstefano:
Distributed Online Optimization via Gradient Tracking with Adaptive Momentum. CoRR abs/2009.01745 (2020)
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last updated on 2024-07-27 17:33 CEST by the dblp team
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