activity
20242026
collaborators

7 papers

math.OC2026

Joint Chance Constrained Safe-Optimal Control

Niklas Schmid, Jared Miller, Tristan Zeller +3

We consider the finite-time optimal control of stochastic systems subject to a probabilistic constraint on the trajectories' safety. Such formulations are known as joint chance con…

math.OC2026

Distributionally Robust Optimization over Wasserstein Balls with i.i.d. Structure

Andrey Kharitenko, Marta Fochesato, Anastasios Tsiamis +2

We consider distributionally robust optimization problems where the uncertainty is modeled via a structured Wasserstein ambiguity set. Specifically, the ambiguity is restricted to…

cs.LG2025

Learn to Bid as a Price-Maker Wind Power Producer

Shobhit Singhal, Marta Fochesato, Liviu Aolaritei +1

Wind power producers (WPPs) participating in short-term power markets face significant imbalance costs due to their non-dispatchable and variable production. While some WPPs have a…

math.OC2025

Loss-aware distributionally robust optimization via trainable optimal transport ambiguity sets

Jonas Ohnemus, Marta Fochesato, Riccardo Zuliani +1

Optimal-Transport Distributionally Robust Optimization (OT-DRO) robustifies data-driven decision-making under uncertainty by capturing the sampling-induced statistical error via op…

math.OC2025

Distributionally Robust LQG with Kullback-Leibler Ambiguity Sets

Marta Fochesato, Lucia Falconi, Mattia Zorzi +2

The Linear Quadratic Gaussian (LQG) controller is known to be inherently fragile to model misspecifications common in real-world situations. We consider discrete-time partially obs…

math.OC2025

Synthesis of safety certificates for discrete-time uncertain systems via convex optimization

Marta Fochesato, Han Wang, Antonis Papachristodoulou +1

We study the problem of co-designing control barrier functions and linear state feedback controllers for discrete-time linear systems affected by additive disturbances. For disturb…