activity
20162024
most citedModel-Free Nonlinear Feedback Optimization

34 citations · 149 across the 21 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

eess.SY2022

Online Feedback Optimization of Compressor Stations with Model Adaptation using Gaussian Process Regression

M. Zagorowska, M. Degner, L. Ortmann +4

Online Feedback Optimization is a method used to steer the operation of a process plant to its optimal operating point without explicitly solving a nonlinear constrained optimizati…

eess.SY2022★ 2 cited

Subtransmission Grid Control via Online Feedback Optimization

Lukas Ortmann, Jean Maeght, Patrick Panciatici +2

The increasing electric power consumption and the shift towards renewable energy resources demand for new ways to operate transmission and subtransmission grids. Online Feedback Op…

eess.SY2022

Real-time Curative Actions for Power Systems via Online Feedback Optimization

Lukas Ortmann, Gianni Hotz, Saverio Bolognani +1

Curative or remedial actions are the set of immediate actions intended to bring the power grid to a safe operating point after a contingency. The effectiveness of these actions is…

cs.RO2022★ 5 cited

How Bad is Selfish Driving? Bounding the Inefficiency of Equilibria in Urban Driving Games

Alessandro Zanardi, Pier Giuseppe Sessa, Nando Käslin +3

We consider the interaction among agents engaging in a driving task and we model it as general-sum game. This class of games exhibits a plurality of different equilibria posing the…

math.OC2022★ 6 cited

Online Feedback Equilibrium Seeking

Giuseppe Belgioioso, Dominic Liao-McPherson, Mathias Hudoba de Badyn +4

This paper proposes a unifying design framework for dynamic feedback controllers that track solution trajectories of time-varying generalized equations, such as local minimizers of…

math.OC2022

First-order Conditions for Optimization in the Wasserstein Space

Nicolas Lanzetti, Saverio Bolognani, Florian Dörfler

We study first-order optimality conditions for constrained optimization in the Wasserstein space, whereby one seeks to minimize a real-valued function over the space of probability…