activity
20232026
collaborators

5 papers

math.DS2026

Partial Observation of Linear Systems with the Mori-Zwanzig Formalism

Fan Wang, Peter Benner, Jan Heiland

The Mori-Zwanzig formalism provides a systematic framework for deriving reduced-order model of dynamical systems when only part of the state is observed, but its practical use is o…

math.NA2026

A-priori error estimation for space-time Galerkin POD for linear evolution problems

Carmen Gräßle, Jan Heiland, Jannis Marquardt

In this paper, we propose an a-priori error estimate for the model order reduction (MOR) method of space-time proper orthogonal decomposition (space-time POD). The original space-t…

math.NA2024

Barycentric rational approximation for learning the index of a dynamical system from limited data

Davide Pradovera, Ion Victor Gosea, Jan Heiland

We consider the task of data-driven identification of dynamical systems, specifically for systems whose behavior at large frequencies is non-standard, as encoded by a non-trivial r…

math.DS2023

Implicit and explicit matching of non-proper transfer functions in the Loewner framework

Ion Victor Gosea, Jan Heiland

The reduced-order modeling of a system from data (also known as system identification) is a classical task in system and control theory and well understood for standard linear syst…

math.OC2023

Low-order Linear Parameter Varying Approximations for Nonlinear Controller Design for Flows

Amritam Das, Jan Heiland

The control of nonlinear large-scale dynamical models such as the incompressible Navier-Stokes equations is a challenging task. The computational challenges in the controller desig…