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math.OC2026
Sparse optimal control in the Wasserstein space
Enrico Sartor, Florian Dörfler, Nicolas Lanzetti
We study sparse optimal control of a non-local continuity equation, where the goal is to steer a distribution via finitely many controllable agents or actuators. This model arises…
math.OC2025
Convergence Analysis of Distributed Optimization: A Dissipativity Framework
Aron Karakai, Jaap Eising, Andrea Martinelli +1
We develop a system-theoretic framework for the structured analysis of distributed optimization algorithms with decomposable cost functions. We model such algorithms as a network o…
math.OC2024
On analysis of open optimization algorithms
Jaap Eising, Florian Dörfler
We consider optimization algorithms that are open systems, that is, with external inputs and outputs. Such algorithms arise for instance, when analyzing the effect of noise or dist…