Towards Time-Varying Proximal Dynamics in Multi-Agent Network Games. - Carlo Cenedese; Yu Kawano; Sergio Grammatico; Ming Cao 001 (CDC, 2018)

A Motion Cueing Algorithm With Look-Ahead and Driver Characterization: Application to Vertical Car Dynamics. - Mattia Bruschetta; Carlo Cenedese; Alessandro Beghi; Fabio Maran (IEEE Trans. Hum. Mach. Syst., 2018)

Charging plug-in electric vehicles as a mixed-integer aggregative game. - Carlo Cenedese; Filippo Fabiani; Michele Cucuzzella; Jacquelien M. A. Scherpen; Ming Cao 001; Sergio Grammatico (CDC, 2019)

Relative Best Response Dynamics in finite and convex Network Games. - Alain Govaert; Carlo Cenedese; Sergio Grammatico; Ming Cao 001 (CDC, 2019)

An asynchronous, forward-backward, distributed generalized Nash equilibrium seeking algorithm. - Carlo Cenedese; Giuseppe Belgioioso; Sergio Grammatico; Ming Cao 001 (ECC, 2019)

Asynchronous and time-varying proximal type dynamics multi-agent network games. - Carlo Cenedese; Giuseppe Belgioioso; Yu Kawano; Sergio Grammatico; Ming Cao 001 (CoRR, 2019)

Time-varying constrained proximal type dynamics in multi-agent network games. - Carlo Cenedese; Giuseppe Belgioioso; Sergio Grammatico; Ming Cao 001 (ECC, 2020)

Optimal policy design to mitigate epidemics on networks using an SIS model. - Carlo Cenedese; Lorenzo Zino; Michele Cucuzzella; Ming Cao 001 (CDC, 2021)

Highway Traffic Control via Smart e-Mobility - Part I: Theory. - Carlo Cenedese; Michele Cucuzzella; Jacquelien M. A. Scherpen; Sergio Grammatico; Ming Cao 001 (CoRR, 2021)

Highway Traffic Control via Smart e-Mobility - Part II: Dutch A13 Case Study. - Carlo Cenedese; Michele Cucuzzella; Jacquelien M. A. Scherpen; Sergio Grammatico; Ming Cao 001 (CoRR, 2021)

An asynchronous distributed and scalable generalized Nash equilibrium seeking algorithm for strongly monotone games. - Carlo Cenedese; Giuseppe Belgioioso; Sergio Grammatico; Ming Cao 001 (Eur. J. Control, 2021)

Asynchronous and Time-Varying Proximal Type Dynamics in Multiagent Network Games. - Carlo Cenedese; Giuseppe Belgioioso; Yu Kawano; Sergio Grammatico; Ming Cao 001 (IEEE Trans. Autom. Control., 2021)

A Novel Control-Oriented Cell Transmission Model Including Service Stations on Highways. - Carlo Cenedese; Michele Cucuzzella; Antonella Ferrara; John Lygeros (CDC, 2022)

A Stackelberg game for incentive-based demand response in energy markets. - Marta Fochesato; Carlo Cenedese; John Lygeros (CDC, 2022)

A Distributed control framework for the optimal operation of DC microgrids. - Zao Fu; Michele Cucuzzella; Carlo Cenedese; Wenwu Yu; Jacquelien M. A. Scherpen (CDC, 2022)

A Novel Control-Oriented Cell Transition Model Including Service Stations on Highways. - Carlo Cenedese; Michele Cucuzzella; Antonella Ferrara; John Lygeros (CoRR, 2022)

CARMA: Fair and efficient bottleneck congestion management with karma. - Ezzat Elokda; Carlo Cenedese; Kenan Zhang; John Lygeros; Florian Dörfler (CoRR, 2022)

Optimal service station design for traffic mitigation via genetic algorithm and neural network. - Carlo Cenedese; Michele Cucuzzella; Adriano Cotta Ramusino; Davide Spalenza; John Lygeros; Antonella Ferrara (CoRR, 2022)

Incentive-based electric vehicle charging for managing bottleneck congestion. - Carlo Cenedese; Patrick Stokkink; Nikolas Geroliminis; John Lygeros (Eur. J. Control, 2022)

A Dynamic Population Game Model of Non-Monetary Bottleneck Congestion Management Under Elastic Demand Using Karma. - Ezzat Elokda; Carlo Cenedese; Kenan Zhang; Andrea Censi; Saverio Bolognani; Emilio Frazzoli (CDC, 2023)

Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype. - Panagiotis D. Grontas; Carlo Cenedese; Marta Fochesato; Giuseppe Belgioioso; John Lygeros; Florian Dörfler (CDC, 2023)

On the effect of capacity drops in highways with service stations. - Carlo Cenedese; Matteo Lucchini; Michele Cucuzzella; Antonella Ferrara; John Lygeros (MED, 2023)

Karma Priority lanes for fair and efficient bottleneck congestion management. - Ezzat Elokda; Carlo Cenedese; Kenan Zhang; Andrea Censi; John Lygeros; Emilio Frazzoli (MED, 2023)

Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype algorithm. - Panagiotis D. Grontas; Carlo Cenedese; Marta Fochesato; Giuseppe Belgioioso; John Lygeros; Florian Dörfler (CoRR, 2023)

Novel Control Approaches Based on Projection Dynamics. - Zao Fu; Carlo Cenedese; Michele Cucuzzella; Yu Kawano; Wenwu Yu; Jacquelien M. A. Scherpen (IEEE Control. Syst. Lett., 2023)

Infrastructure-dependent ramp-metering control for METANET-s. - Ayda Kamalifar; Carlo Cenedese; Michele Cucuzzella; Antonella Ferrara (CDC, 2024)

A new control-oriented METANET model to encompass service stations on highways. - Ayda Kamalifar; Carlo Cenedese; Michele Cucuzzella; Antonella Ferrara (ECC, 2024)

Urban Traffic Congestion Control: A DeePC Change. - Alessio Rimoldi; Carlo Cenedese; Alberto Padoan; Florian Dörfler; John Lygeros (ECC, 2024)

Iterative Learning Control for Ramp Metering on Service Station On-ramps. - Hongxi Xiang; Carlo Cenedese; Efe C. Balta; John Lygeros (CoRR, 2024)

Distributed Control of Islanded DC Microgrids: A Passivity-Based Game Theoretical Approach. - Zao Fu; Carlo Cenedese; Michele Cucuzzella; Wenwu Yu; Jacquelien M. A. Scherpen (IEEE Trans. Control. Syst. Technol., 2024)

BIG Hype: Best Intervention in Games via Distributed Hypergradient Descent. - Panagiotis D. Grontas; Giuseppe Belgioioso; Carlo Cenedese; Marta Fochesato; John Lygeros; Florian Dörfler (IEEE Trans. Autom. Control., 2024)

CARMA: Fair and Efficient Bottleneck Congestion Management via Nontradable Karma Credits. - Ezzat Elokda; Carlo Cenedese; Kenan Zhang; Andrea Censi; John Lygeros; Emilio Frazzoli; Florian Dörfler (Transp. Sci., 2025)

Split-as-a-Pro: behavioral control via operator splitting and alternating projections. - Yu Tang; Carlo Cenedese; Alessio Rimoldi; Florian Dörfler; John Lygeros; Alberto Padoan (CoRR, 2025)