1 citations · 2 across the 10 of their papers we have counts for
10 papers
Certificate-based Synthesis of Coordinated Droop Control for Heterogeneous Radial Distribution Networks
Georgios Pantazis, Michelle Chong
Voltage certificates for droop-controlled radial distribution networks are often constructed from worst-case quantities. In heterogeneous radial networks, this approach can hide wh…
Data-driven Reachable Set Estimation with Tunable Adversarial and Wasserstein Distributional Guarantees
Georgios Pantazis, Michelle S. Chong
We study finite horizon reachable set estimation for unknown discrete-time dynamical systems using only sampled state trajectories. Rather than treating scenario optimization as a…
Wasserstein Distributionally Robust Nash Equilibrium Seeking with Heterogeneous Data: A Lagrangian Approach
Zifan Wang, Georgios Pantazis, Sergio Grammatico +2
We study a class of distributionally robust games where agents are allowed to heterogeneously choose their risk aversion with respect to distributional shifts of the uncertainty. I…
Adversarially and Distributionally Robust Virtual Energy Storage Systems via the Scenario Approach
Georgios Pantazis, Nicola Mignoni, Raffaele Carli +2
We study virtual energy storage services based on the aggregation of EV batteries in parking lots under time-varying, uncertain EV departures and state-of-charge limits. We propose…
User-centric Vehicle-to-Grid Optimization with an Input Convex Neural Network-based Battery Degradation Model
Arghya Mallick, Georgios Pantazis, Mohammad Khosravi +2
We propose a data-driven, user-centric vehicle-to-grid (V2G) methodology based on multi-objective optimization to balance battery degradation and V2G revenue according to EV user p…
A User-centric Game for Balancing V2G Benefits with Battery Degradation of Electric Vehicles
Arghya Mallick, Georgios Pantazis, Peyman Mohajerin Esfahani +1
We present a novel user-centric vehicle-to-grid (V2G) framework that enables electric vehicle (EV) users to balance the trade-off between financial benefits from V2G and battery he…
Nash equilibrium seeking for a class of quadratic-bilinear Wasserstein distributionally robust games
Georgios Pantazis, Reza Rahimi Baghbadorani, Sergio Grammatico
We consider a class of Wasserstein distributionally robust Nash equilibrium problems, where agents construct heterogeneous data-driven Wasserstein ambiguity sets using private samp…
An Efficient Risk-aware Branch MPC for Automated Driving that is Robust to Uncertain Vehicle Behaviors
Luyao Zhang, George Pantazis, Shaohang Han +1
One of the critical challenges in automated driving is ensuring safety of automated vehicles despite the unknown behavior of the other vehicles. Although motion prediction modules…
On data-driven Wasserstein distributionally robust Nash equilibrium problems with heterogeneous uncertainty
Georgios Pantazis, Barbara Franci, Sergio Grammatico
We study stochastic Nash equilibrium problems subject to heterogeneous uncertainty on the expected valued cost functions of the individual agents, where we assume no prior knowledg…
A priori data-driven robustness guarantees on strategic deviations from generalised Nash equilibria
George Pantazis, Filiberto Fele, Kostas Margellos
In this paper we focus on noncooperative games with uncertain constraints coupling the agents' decisions. We consider a setting where bounded deviations of agents' decisions from t…