activity
20172023
most citedA time domain a posteriori error bound for balancing-related model order reduction

1 citations · 1 across the 4 of their papers we have counts for

collaborators

9 papers

math.NA2023

Operator splitting for port-Hamiltonian systems

Andreas Frommer, Michael Günther, Björn Liljegren-Sailer +1

The port-Hamiltonian approach presents an energy-based modeling of dynamical systems with energy-conservative and energy-dissipative parts as well as an interconnection over the so…

math.NA2023

Data-driven and low-rank implementations of Balanced Singular Perturbation Approximation

Björn Liljegren-Sailer, Ion Victor Gosea

Balanced Singular Perturbation Approximation (SPA) is a model order reduction method for linear time-invariant systems that guarantees asymptotic stability and for which there exis…

math.DS2023★ 1 cited

A time domain a posteriori error bound for balancing-related model order reduction

Björn Liljegren-Sailer

The aim in model order reduction is to approximate an input-output map described by a large-scale dynamical system with a low-dimensional and cheaper-to-evaluate reduced order mode…

math.NA2022

Effective error estimation for model reduction with inhomogeneous initial conditions

Björn Liljegren-Sailer

A priori error bounds have been derived for different balancing-related model reduction methods. The most classical result is a bound for balanced truncation and singular perturbat…

math.NA2021

On snapshot-based model reduction under compatibility conditions for a nonlinear flow problem on networks

Björn Liljegren-Sailer, Nicole Marheineke

This paper is on the construction of structure-preserving, online-efficient reduced models for the barotropic Euler equations with a friction term on networks. The nonlinear flow p…

math.NA2020

On port-Hamiltonian approximation of a nonlinear flow problem on networks

Björn Liljegren-Sailer, Nicole Marheineke

This paper deals with the systematic development of structure-preserving approximations for a class of nonlinear partial differential equations on networks. The class includes, for…