activity
20102026
most citedAlgebraic Geometrization of the Kuramoto Model: Equilibria and Stability Analysis

79 citations · 109 across the 28 of their papers we have counts for

collaborators
Showing math.OCShow all

9 papers · 1 filter

math.OC2026

Adaptive Control of Unknown Linear Switched Systems via Policy Gradient Methods

Felix Laurent, Feiran Zhao, Jaap Eising +1

We consider the policy gradient adaptive control (PGAC) framework, which adaptively updates a control policy in real time, by performing data-based gradient descent steps on the li…

math.OC2023

Wasserstein Tube MPC with Exact Uncertainty Propagation

Liviu Aolaritei, Marta Fochesato, John Lygeros +1

We study model predictive control (MPC) problems for stochastic LTI systems, where the noise distribution is unknown, compactly supported, and only observable through a limited num…

math.OC2023

Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype algorithm

Panagiotis D. Grontas, Carlo Cenedese, Marta Fochesato +3

We study the problem of optimally routing plug-in electric and conventional fuel vehicles on a city level. In our model, commuters selfishly aim to minimize a local cost that combi…

math.OC2022

Distributed and Constrained Control Design via System Level Synthesis and Dual Consensus ADMM

Panagiotis D. Grontas, Michael W. Fisher, Florian Dörfler

Design of optimal distributed linear feedback controllers to achieve a desired aggregate behavior, while simultaneously satisfying state and input constraints, is a challenging but…

math.OC2022

Hybrid Angle Control and Almost Global Stability of Non-synchronous Hybrid AC/DC Power Grids

Ali Tayyebi, Florian Dörfler

This paper explores the stability of nonsynchronous hybrid ac/dc power grids under the grid-forming hybrid angle control strategy. We formulate dynamical models for the ac grids an…

math.OC202112 cited

On the Certainty-Equivalence Approach to Direct Data-Driven LQR Design

Florian Dörfler, Pietro Tesi, Claudio De Persis

The linear quadratic regulator (LQR) problem is a cornerstone of automatic control, and it has been widely studied in the data-driven setting. The various data-driven approaches ca…