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Marta Fochesato
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2020 – today
- 2024
- [j2]Niklas Schmid, Marta Fochesato, Tobias Sutter, John Lygeros:
Joint Chance Constrained Optimal Control via Linear Programming. IEEE Control. Syst. Lett. 8: 736-741 (2024) - [j1]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) - [i5]Niklas Schmid, Marta Fochesato, Tobias Sutter, John Lygeros:
Joint Chance Constrained Optimal Control via Linear Programming. CoRR abs/2402.19360 (2024) - 2023
- [c8]Liviu Aolaritei, Marta Fochesato, John Lygeros, Florian Dörfler:
Wasserstein Tube MPC with Exact Uncertainty Propagation. CDC 2023: 2036-2041 - [c7]Giovanni Gino Zanvettor, Marta Fochesato, Marco Casini, Antonio Vicino:
A Receding Horizon Scheme for EV Charging Stations in Demand Response Programs. CDC 2023: 3130-3135 - [c6]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 - [c5]Marta Fochesato, Filippo Fabiani, John Lygeros:
Generalized uncertain Nash games: Reformulation and robust equilibrium seeking. ECC 2023: 1-6 - [i4]Marta Fochesato, Filippo Fabiani, John Lygeros:
Generalized uncertain Nash games: Reformulation and robust equilibrium seeking - Extended version. CoRR abs/2304.03052 (2023) - [i3]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) - [i2]Niklas Schmid, Marta Fochesato, Sarah H. Q. Li, Tobias Sutter, John Lygeros:
Computing Optimal Joint Chance Constrained Control Policies. CoRR abs/2312.10495 (2023) - 2022
- [c4]Marta Fochesato, Carlo Cenedese, John Lygeros:
A Stackelberg game for incentive-based demand response in energy markets. CDC 2022: 2487-2492 - [c3]Marta Fochesato, John Lygeros:
Data-Driven Distributionally Robust Bounds for Stochastic Model Predictive Control. CDC 2022: 3611-3616 - [c2]Marta Fochesato, Giovanni Gino Zanvettor, Marco Casini, Antonio Vicino:
A data-driven dynamic pricing scheme for EV charging stations with price-sensitive customers. CDC 2022: 5042-5047 - [c1]Marta Fochesato, Fazel Khayatian, Doris Fonseca Lima, Zoltán Nagy:
On the use of conditional TimeGAN to enhance the robustness of a reinforcement learning agent in the building domain. BuildSys 2022: 208-217 - [i1]Marta Fochesato, Carlo Cenedese, John Lygeros:
A Stackelberg game for incentive-based demand response in energy markets. CoRR abs/2204.08730 (2022)
Coauthor Index
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