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20212026
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23 citations · 38 across the 14 of their papers we have counts for

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math.OC2026

Compositional Sensitivity Analysis for Multiobjective System Co-Design

Alan Bonomi, Antonio Terpin, Yubo Cai +3

Sensitivity analysis of coupled systems typically propagates derivatives of single-valued maps, whereas multiobjective optimization generally treats sensitivity at the system level…

math.OC2024

Distributionally Robust Linear Quadratic Gaussian Regulator with Stationary Distributions

Alain Schöbi, Nicolas Lanzetti, Florian Dörfler +2

We study the Linear Quadratic Gaussian regulation problem in the face of worst-case noise distributions when these are mutually independent, zero-mean, stationary, and within a rad…

math.OC2024

Variational Analysis in the Wasserstein Space

Nicolas Lanzetti, Antonio Terpin, Florian Dörfler

We study optimization problems whereby the optimization variable is a probability measure. Since the space of probability measures is not a vector space, many classical methods for…

math.OC2023★ 13 cited

Dynamic Programming in Probability Spaces via Optimal Transport

Antonio Terpin, Nicolas Lanzetti, Florian Dörfler

We study discrete-time finite-horizon optimal control problems in probability spaces, whereby the state of the system is a probability measure. We show that, in many instances, the…

math.OC2021

Distributed Feedback Optimisation for Robotic Coordination

Antonio Terpin, Sylvain Fricker, Michel Perez +2

Feedback optimisation is an emerging technique aiming at steering a system to an optimal steady state for a given objective function. We show that it is possible to employ this con…