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Guido Carnevale

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2024
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Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano:
Nonconvex distributed feedback optimization for aggregative cooperative robotics. Autom. 167: 111767 (2024)
[j6]
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Guido Carnevale, Giuseppe Notarstefano:
Timescale Separation for Discrete-Time Nonlinear Stochastic Systems. IEEE Control. Syst. Lett. 8: 2133-2138 (2024)
[j5]
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Guido Carnevale, Filippo Fabiani, Filiberto Fele, Kostas Margellos, Giuseppe Notarstefano:
Tracking-Based Distributed Equilibrium Seeking for Aggregative Games. IEEE Trans. Autom. Control. 69(9): 6026-6041 (2024)
[c9]
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  - conf/case/PichierriCN24
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Lorenzo Pichierri, Guido Carnevale, Giuseppe Notarstefano:
Distributed Feedback Optimization for Multi-Robot Target Encirclement and Patrolling. CASE 2024: 1181-1186
[c8]
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Alireza Olama, Guido Carnevale, Giuseppe Notarstefano, Eduardo Camponogara:
Distributed ℓ0 Sparse Aggregative Optimization. CASE 2024: 1747-1752
[c7]
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  - conf/case/BrumaliCCN24
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Riccardo Brumali, Guido Carnevale, Ruggero Carli, Giuseppe Notarstefano:
A Distributed Algorithm for Coordination in Energy Communities. CASE 2024: 2091-2096
[c6]
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Riccardo Brumali, Guido Carnevale, Giuseppe Notarstefano:
A deep learning approach for distributed aggregative optimization with users' feedback. L4DC 2024: 1552-1564
[i10]
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  - journals/corr/abs-2403-05367
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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)
[i9]
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  - journals/corr/abs-2409-20399
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Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni, Giuseppe Notarstefano:
Multi-Robot Target Monitoring and Encirclement via Triggered Distributed Feedback Optimization. CoRR abs/2409.20399 (2024)
2023
[b1]
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  - phd/basesearch/Carnevale23
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Guido Carnevale:
Distributed optimization and games over networks: a system theoretical perspective. University of Bologna, Italy, 2023
[j4]
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  - journals/automatica/CarnevaleNMN23
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Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano:
Triggered Gradient Tracking for asynchronous distributed optimization. Autom. 147: 110726 (2023)
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Guido Carnevale, Giuseppe Notarstefano:
Nonconvex Distributed Optimization via Lasalle and Singular Perturbations. IEEE Control. Syst. Lett. 7: 301-306 (2023)
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Guido Carnevale, Andrea Camisa, Giuseppe Notarstefano:
Distributed Online Aggregative Optimization for Dynamic Multirobot Coordination. IEEE Trans. Autom. Control. 68(6): 3736-3743 (2023)
[j1]
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  - journals/tcns/CarnevaleFNN23
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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]
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  - conf/cdc/CarnevaleBCN23
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Guido Carnevale, Nicola Bastianello, Ruggero Carli, Giuseppe Notarstefano:
Distributed Consensus Optimization via ADMM-Tracking Gradient. CDC 2023: 290-295
[c4]
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  - conf/cdc/SforniCNN23
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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]
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  - conf/codit/OlamaCNC23
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Alireza Olama, Guido Carnevale, Giuseppe Notarstefano, Eduardo Camponogara:
A Tracking Augmented Lagrangian Method for ℓ0 Sparse Consensus Optimization. CoDIT 2023: 1-6
[c2]
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  - conf/icra/PichierriCSTN23
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Lorenzo Pichierri, Guido Carnevale, Lorenzo Sforni, Andrea Testa, Giuseppe Notarstefano:
A Distributed Online Optimization Strategy for Cooperative Robotic Surveillance. ICRA 2023: 5537-5543
[i8]
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  - journals/corr/abs-2302-01892
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Guido Carnevale, Nicola Mimmo, Giuseppe Notarstefano:
Nonconvex Distributed Feedback Optimization for Aggregative Cooperative Robotics. CoRR abs/2302.01892 (2023)
[i7]
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  - journals/corr/abs-2304-14016
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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]
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  - journals/corr/abs-2309-04257
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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]
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  - conf/cdc/CarnevaleN22
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Guido Carnevale, Giuseppe Notarstefano:
A Learning-based Distributed Algorithm for Personalized Aggregative Optimization. CDC 2022: 1576-1581
[i5]
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  - journals/corr/abs-2203-02210
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Guido Carnevale, Ivano Notarnicola, Lorenzo Marconi, Giuseppe Notarstefano:
Triggered Gradient Tracking for Asynchronous Distributed Optimization. CoRR abs/2203.02210 (2022)
[i4]
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  - journals/corr/abs-2210-14547
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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]
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  - journals/corr/abs-2104-09847
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Guido Carnevale, Andrea Camisa, Giuseppe Notarstefano:
Distributed Online Aggregative Optimization for Dynamic Multi-robot Coordination. CoRR abs/2104.09847 (2021)
[i2]
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  - journals/corr/abs-2110-04234
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Nicola Mimmo, Guido Carnevale, Andrea Testa, Giuseppe Notarstefano:
Extremum Seeking Tracking for Derivative-free Distributed Optimization. CoRR abs/2110.04234 (2021)
2020
[i1]
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  - journals/corr/abs-2009-01745
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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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