5 papers
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…
Differentiable-by-design Nonlinear Optimization for Model Predictive Control
Riccardo Zuliani, Efe C. Balta, John Lygeros
Nonlinear optimization-based control policies, such as those those arising in nonlinear Model Predictive Control, have seen remarkable success in recent years. These policies requi…
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…
Plug and Play Distributed Control of Clustered Energy Hub Networks
Varsha Behrunani, Cara Koepele, Jared Miller +4
The transition to renewable energy is driving the rise of distributed multi-energy systems, in which individual energy hubs and prosumers (e.g., homes, industrial campuses) generat…
Loss-aware Pricing Strategies for Peer-to-Peer Energy Trading
Varsha N. Behrunani, Philipp Heer, Roy S. Smith +1
Peer-to-peer(P2P) energy trading may increase efficiency and reduce costs, but introduces significant challenges for network operators such as maintaining grid reliability, account…