3 citations · 3 across the 12 of their papers we have counts for
16 papers
Data-driven Koopman mode approximation: A neural power iteration algorithm
Guillaume O. Berger, Raphaël M. Jungers
This paper proposes a novel data-driven algorithm to approximate the dominant eigenfunctions (aka.~modes) of the Koopman operator of nonlinear dynamical systems using neural networ…
Direct vs. Indirect Data-Driven Control: Case-study of Switching Systems Stability
Alexis Vuille, Guillaume O. Berger, Raphaël M. Jungers
A central methodological question in data-driven control is whether to adopt a direct or indirect approach. Direct methods infer a controller or certificate directly from data, whi…
Robust Optimal Control of Arbitrarily Switched Systems: A Path-Complete Framework
Léa Ninite, Adrien Banse, Guillaume O. Berger +1
This paper addresses the robust control of switched systems under arbitrary switching with performance guarantees. We propose a framework that jointly synthesizes a feedback policy…
A Path-Complete Approach for Optimal Control of Switched Systems
Léa Ninite, Adrien Banse, Guillaume O. Berger +1
We study the problem of estimating the value function of discrete-time switched systems under arbitrary switching. Unlike the switched LQR problem, where both inputs and mode seque…
On the differentiability of the value function of switched linear systems under arbitrary and controlled switching
Guillaume O. Berger
This paper studies the differentiability of the value function of switched linear systems under arbitrary switching and controlled switching, referred to as worst-case and optimal…
Online Complexity Estimation for Repetitive Scenario Design
Guillaume O. Berger, Raphaël M. Jungers
We consider the problem of repetitive scenario design where one has to solve repeatedly a scenario design problem and can adjust the sample size (number of scenarios) to obtain a d…