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ORCIDCarlo Cenedese
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2020 – today
- 2024
[j7]Panagiotis D. Grontas
, Giuseppe Belgioioso, Carlo Cenedese, Marta Fochesato, John Lygeros, Florian Dörfler:
BIG Hype: Best Intervention in Games via Distributed Hypergradient Descent. IEEE Trans. Autom. Control. 69(12): 8338-8353 (2024)- [j6]Zao Fu, Carlo Cenedese, Michele Cucuzzella, Wenwu Yu, Jacquelien M. A. Scherpen:
Distributed Control of Islanded DC Microgrids: A Passivity-Based Game Theoretical Approach. IEEE Trans. Control. Syst. Technol. 32(6): 2207-2222 (2024) - [c15]Ayda Kamalifar, Carlo Cenedese, Michele Cucuzzella, Antonella Ferrara:
A new control-oriented METANET model to encompass service stations on highways. ECC 2024: 1387-1392 - [c14]Alessio Rimoldi, Carlo Cenedese, Alberto Padoan, Florian Dörfler, John Lygeros:
Urban Traffic Congestion Control: A DeePC Change. ECC 2024: 2909-2914 - [i17]Ayda Kamalifar, Carlo Cenedese, Michele Cucuzzella, Antonella Ferrara:
A new control-oriented METANET model to encompass service stations on highways. CoRR abs/2403.14373 (2024) - [i16]Hongxi Xiang, Carlo Cenedese, Efe C. Balta, John Lygeros:
Iterative Learning Control for Ramp Metering on Service Station On-ramps. CoRR abs/2411.11108 (2024) - 2023
- [j5]Zao Fu, Carlo Cenedese, Michele Cucuzzella, Yu Kawano, Wenwu Yu, Jacquelien M. A. Scherpen:
Novel Control Approaches Based on Projection Dynamics. IEEE Control. Syst. Lett. 7: 2179-2184 (2023) - [c13]Ezzat Elokda, Carlo Cenedese, Kenan Zhang, Andrea Censi, Saverio Bolognani, Emilio Frazzoli:
A Dynamic Population Game Model of Non-Monetary Bottleneck Congestion Management Under Elastic Demand Using Karma. CDC 2023: 120-125 - [c12]Panagiotis D. Grontas, Carlo Cenedese, Marta Fochesato, Giuseppe Belgioioso, John Lygeros, Florian Dörfler:
Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype. CDC 2023: 3142-3147 - [c11]Ezzat Elokda, Carlo Cenedese, Kenan Zhang, Andrea Censi, John Lygeros, Emilio Frazzoli:
Karma Priority lanes for fair and efficient bottleneck congestion management. MED 2023: 458-463 - [c10]Carlo Cenedese, Matteo Lucchini, Michele Cucuzzella, Antonella Ferrara, John Lygeros:
On the effect of capacity drops in highways with service stations. MED 2023: 478-483 - [i15]Panagiotis D. Grontas, Carlo Cenedese, Marta Fochesato, Giuseppe Belgioioso, John Lygeros, Florian Dörfler:
Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype algorithm. CoRR abs/2304.12004 (2023) - [i14]Alessio Rimoldi, Carlo Cenedese, Alberto Padoan, Florian Dörfler, John Lygeros:
Urban traffic congestion control: a DeePC change. CoRR abs/2311.09851 (2023) - 2022
- [j4]Carlo Cenedese, Patrick Stokkink, Nikolas Geroliminis, John Lygeros:
Incentive-based electric vehicle charging for managing bottleneck congestion. Eur. J. Control 68: 100697 (2022) - [c9]Marta Fochesato, Carlo Cenedese, John Lygeros:
A Stackelberg game for incentive-based demand response in energy markets. CDC 2022: 2487-2492 - [c8]Zao Fu, Michele Cucuzzella, Carlo Cenedese, Wenwu Yu, Jacquelien M. A. Scherpen:
A Distributed control framework for the optimal operation of DC microgrids. CDC 2022: 4585-4590 - [c7]Carlo Cenedese, Michele Cucuzzella, Antonella Ferrara, John Lygeros:
A Novel Control-Oriented Cell Transmission Model Including Service Stations on Highways. CDC 2022: 6278-6283 - [i13]Zao Fu, Michele Cucuzzella, Carlo Cenedese, Wenwu Yu, Jacquelien M. A. Scherpen:
A Distributed control framework for the optimal operation of DC microgrids. CoRR abs/2204.08114 (2022) - [i12]Marta Fochesato, Carlo Cenedese, John Lygeros:
A Stackelberg game for incentive-based demand response in energy markets. CoRR abs/2204.08730 (2022) - [i11]Carlo Cenedese, Michele Cucuzzella, Antonella Ferrara, John Lygeros:
A Novel Control-Oriented Cell Transition Model Including Service Stations on Highways. CoRR abs/2205.15115 (2022) - [i10]Ezzat Elokda, Carlo Cenedese, Kenan Zhang, John Lygeros, Florian Dörfler:
CARMA: Fair and efficient bottleneck congestion management with karma. CoRR abs/2208.07113 (2022) - [i9]Carlo Cenedese, Michele Cucuzzella, Adriano Cotta Ramusino, Davide Spalenza, John Lygeros, Antonella Ferrara:
Optimal service station design for traffic mitigation via genetic algorithm and neural network. CoRR abs/2211.10159 (2022) - 2021
- [j3]Carlo Cenedese, Giuseppe Belgioioso, Sergio Grammatico, Ming Cao:
An asynchronous distributed and scalable generalized Nash equilibrium seeking algorithm for strongly monotone games. Eur. J. Control 58: 143-151 (2021) - [j2]Carlo Cenedese, Giuseppe Belgioioso, Yu Kawano, Sergio Grammatico, Ming Cao:
Asynchronous and Time-Varying Proximal Type Dynamics in Multiagent Network Games. IEEE Trans. Autom. Control. 66(6): 2861-2867 (2021) - [c6]Carlo Cenedese, Lorenzo Zino, Michele Cucuzzella, Ming Cao:
Optimal policy design to mitigate epidemics on networks using an SIS model. CDC 2021: 4266-4271 - [i8]Carlo Cenedese, Michele Cucuzzella, Jacquelien M. A. Scherpen, Sergio Grammatico, Ming Cao:
Highway Traffic Control via Smart e-Mobility - Part I: Theory. CoRR abs/2102.09354 (2021) - [i7]Carlo Cenedese, Michele Cucuzzella, Jacquelien M. A. Scherpen, Sergio Grammatico, Ming Cao:
Highway Traffic Control via Smart e-Mobility - Part II: Dutch A13 Case Study. CoRR abs/2102.09433 (2021) - 2020
- [c5]Carlo Cenedese, Giuseppe Belgioioso, Sergio Grammatico, Ming Cao:
Time-varying constrained proximal type dynamics in multi-agent network games. ECC 2020: 148-153 - [i6]Carlo Cenedese, Giuseppe Belgioioso, Sergio Grammatico, Ming Cao:
An asynchronous distributed and scalable generalized Nash equilibrium seeking algorithm for strongly monotone games. CoRR abs/2005.03507 (2020)
2010 – 2019
- 2019
- [c4]Alain Govaert, Carlo Cenedese, Sergio Grammatico, Ming Cao:
Relative Best Response Dynamics in finite and convex Network Games. CDC 2019: 3134-3139 - [c3]Carlo Cenedese, Filippo Fabiani, Michele Cucuzzella, Jacquelien M. A. Scherpen, Ming Cao, Sergio Grammatico:
Charging plug-in electric vehicles as a mixed-integer aggregative game. CDC 2019: 4904-4909 - [c2]Carlo Cenedese, Giuseppe Belgioioso, Sergio Grammatico, Ming Cao:
An asynchronous, forward-backward, distributed generalized Nash equilibrium seeking algorithm. ECC 2019: 3508-3513 - [i5]Carlo Cenedese, Giuseppe Belgioioso, Sergio Grammatico, Ming Cao:
An asynchronous, forward-backward, distributed generalized Nash equilibrium seeking algorithm. CoRR abs/1901.04279 (2019) - [i4]Carlo Cenedese, Giuseppe Belgioioso, Yu Kawano, Sergio Grammatico, Ming Cao:
Asynchronous and time-varying proximal type dynamics multi-agent network games. CoRR abs/1909.11203 (2019) - [i3]Carlo Cenedese, Filippo Fabiani, Michele Cucuzzella, Jacquelien M. A. Scherpen, Ming Cao, Sergio Grammatico:
Charging plug-in electric vehicles as a mixed-integer aggregative game. CoRR abs/1910.10272 (2019) - [i2]Carlo Cenedese, Giuseppe Belgioioso, Sergio Grammatico, Ming Cao:
Time-varying constrained proximal type dynamics in multi-agent network games. CoRR abs/1911.08443 (2019) - 2018
- [j1]Mattia Bruschetta, Carlo Cenedese, Alessandro Beghi, Fabio Maran:
A Motion Cueing Algorithm With Look-Ahead and Driver Characterization: Application to Vertical Car Dynamics. IEEE Trans. Hum. Mach. Syst. 48(1): 6-16 (2018) - [c1]Carlo Cenedese, Yu Kawano, Sergio Grammatico, Ming Cao:
Towards Time-Varying Proximal Dynamics in Multi-Agent Network Games. CDC 2018: 4378-4383 - [i1]Carlo Cenedese, Yu Kawano, Sergio Grammatico, Ming Cao:
Towards time-varying proximal dynamics in Multi-Agent Network Games. CoRR abs/1811.04391 (2018)
Coauthor Index
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