Model Reduction for port-Hamiltonian System

Abstract: This talk provides a brief introduction to the fundamentals of model reduction, highlighting why reduced models are essential for large-scale dynamical systems. We will focus on interpolatory model reduction methods, outlining their key ideas and their connection to optimal approximation in the H2 norm. We then demonstrate how these techniques can be extended to model reduction of port-Hamiltonian systems, enabling structure-preserving, efficient, and accurate reduced-order representations.

mathematical physicsanalysis of PDEsdifferential geometrydynamical systemsfunctional analysisnumerical analysisoptimization and controlspectral theory

Audience: researchers in the discipline

Port-Hamiltonian Seminar

Series comments: Slides and recordings can be found here: uni-wuppertal.sciebo.de/s/CQfBsXr9iOI17ZY