Marta Fochesato

According to our database, Marta Fochesato authored at least 12 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Joint Chance Constrained Optimal Control via Linear Programming.

Niklas Schmid, Marta Fochesato, Tobias Sutter, John Lygeros

CoRR, 2024

2023

Computing Optimal Joint Chance Constrained Control Policies.

Niklas Schmid, Marta Fochesato, Sarah H. Q. Li, Tobias Sutter, John Lygeros

CoRR, 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

Generalized uncertain Nash games: Reformulation and robust equilibrium seeking - Extended version.

Marta Fochesato, Filippo Fabiani, John Lygeros

CoRR, 2023

Generalized uncertain Nash games: Reformulation and robust equilibrium seeking.

Marta Fochesato, Filippo Fabiani, John Lygeros

Proceedings of the European Control Conference, 2023

A Receding Horizon Scheme for EV Charging Stations in Demand Response Programs.

Giovanni Gino Zanvettor, Marta Fochesato, Marco Casini, Antonio Vicino

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype.

Panagiotis D. Grontas, Carlo Cenedese, Marta Fochesato, Giuseppe Belgioioso, John Lygeros, Florian Dörfler

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Wasserstein Tube MPC with Exact Uncertainty Propagation.

Liviu Aolaritei, Marta Fochesato, John Lygeros, Florian Dörfler

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

On the use of conditional TimeGAN to enhance the robustness of a reinforcement learning agent in the building domain.

Marta Fochesato, Fazel Khayatian, Doris Fonseca Lima, Zoltán Nagy

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, 2022

A data-driven dynamic pricing scheme for EV charging stations with price-sensitive customers.

Marta Fochesato, Giovanni Gino Zanvettor, Marco Casini, Antonio Vicino

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Data-Driven Distributionally Robust Bounds for Stochastic Model Predictive Control.

Marta Fochesato, John Lygeros

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

A Stackelberg game for incentive-based demand response in energy markets.

Marta Fochesato, Carlo Cenedese, John Lygeros

Proceedings of the 61st IEEE Conference on Decision and Control, 2022