collaborators

7 papers

math.DS2026

RKHS method for computing Koopman-based Lyapunov functions

François-Grégoire Bierwart, Alexandre Mauroy

The Koopman operator is a powerful approach to global stability analysis of nonlinear systems, which provides a systematic procedure for Lyapunov function design. In this framework…

eess.SY2026

On Koopman Resolvents and Frequency Response of Nonlinear Systems

Yoshihiko Susuki, Natsuki Katayama, Alexandre Mauroy +1

This paper proposes a novel formulation of frequency response for nonlinear systems in the Koopman operator framework. This framework is a promising direction for the analysis and…

math.DS2026

Global Linearization of Parameterized Nonlinear Systems with Stable Equilibrium Point Using the Koopman Operator

Natsuki Katayama, Alexandre Mauroy, Yoshihiko Susuki

The Koopman operator framework enables global analysis of nonlinear systems through its inherent linearity. This study aims to clarify spectral properties of the Koopman operators…

math.DS2026

Error bounds on analytic Koopman-based Lyapunov functions

François-Grégoire Bierwart, Alexandre Mauroy

The Koopman operator provides an infinite-dimensional linear description of nonlinear dynamical systems that can be leveraged in the context of stability analysis. In particular, L…

math.DS2026

A numerical Koopman-based framework to estimate regions of attraction for general vector fields

François-Grégoire Bierwart, Alexandre Mauroy

In this paper, we develop a comprehensive framework to estimate regions of attraction of equilibria for dynamics associated with general vector fields. This framework combines Koop…

math.OC2026

Identification of Nonlinear Acyclic Networks in Continuous Time from Nonzero Initial Conditions and Full Excitations

Ramachandran Anantharaman, Renato Vizuete, Julien M. Hendrickx +1

We propose a method to identify nonlinear acyclic networks in continuous time when the dynamics are located on the edges and all the nodes are excited. We show that it is necessary…