collaborators

7 papers

math.OC2026

Certificate-based Synthesis of Coordinated Droop Control for Heterogeneous Radial Distribution Networks

Georgios Pantazis, Michelle Chong

Voltage certificates for droop-controlled low voltage feeders are often constructed from global worst-case quantities. In heterogeneous feeders, such bounds can hide where voltage…

math.OC2026

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…

math.OC2026

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…

math.OC2025

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…

eess.SY2025

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…

math.OC2025

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…