activity
20172026
most citedStructure-Preserving Model Reduction for Dissipative Mechanical Systems

8 citations · 17 across the 13 of their papers we have counts for

collaborators

16 papers

eess.SP2026

Impulse Response Estimation via Laguerre-Fourier Expansion

Tamás Dózsa, Art J. R. Pelling, Matthias Voigt

The empirical transfer function estimate (ETFE) is a widely used method for system identification of linear time-invariant (LTI) systems in engineering disciplines such as acoustic…

eess.SY2022

Fixed-Order H-Infinity Controller Design for Port-Hamiltonian Systems

Paul Schwerdtner, Matthias Voigt

We present a new fixed-order H-infinity controller design method for potentially large-scale port-Hamiltonian (pH) plants. Our method computes controllers that are also pH (and thu…

eess.SY2022★ 2 cited

Structure-Preserving Model Order Reduction for Index Two Port-Hamiltonian Descriptor Systems

Tim Moser, Paul Schwerdtner, Volker Mehrmann +1

We present a new optimization-based structure-preserving model order reduction (MOR) method for port-Hamiltonian descriptor systems (pH-DAEs) with differentiation index two. Our me…

math.OC2022★ 1 cited

Structure-Preserving Model Order Reduction for Index One Port-Hamiltonian Descriptor Systems

Paul Schwerdtner, Tim Moser, Volker Mehrmann +1

We develop optimization-based structure-preserving model order reduction (MOR) methods for port-Hamiltonian (pH) descriptor systems of differentiation index one. Descriptor systems…

math.DS2021

Model Reduction of Parametric Differential-Algebraic Systems by Balanced Truncation

Jennifer Przybilla, Matthias Voigt

We deduce a procedure to apply balanced truncation to parameter-dependent differential-algebraic systems. For that we solve multiple projected Lyapunov equations for different para…

eess.SY2021

Adaptive Sampling for Structure Preserving Model Order Reduction of Port-Hamiltonian Systems

Paul Schwerdtner, Matthias Voigt

We present an adaptive sampling strategy for the optimization-based structure preserving model order reduction (MOR) algorithm developed in [Schwerdtner, P. and Voigt, M. (2020). S…

eess.SY2020★ 1 cited

SOBMOR: Structured Optimization-Based Model Order Reduction

Paul Schwerdtner, Matthias Voigt

Model order reduction (MOR) methods that are designed to preserve structural features of a given full order model (FOM) often suffer from a lower accuracy when compared to their no…

math.OC2020★ 8 cited

Structure-Preserving Model Reduction for Dissipative Mechanical Systems

Rebekka S. Beddig, Peter Benner, Ines Dorschky +4

Suppressing vibrations in mechanical systems, usually described by second-order dynamical models, is a challenging task in mechanical engineering in terms of computational resource…

math.NA2020

Balanced truncation model reduction for symmetric second order systems -- A passivity-based approach

Ines Dorschky, Timo Reis, Matthias Voigt

We introduce a model reduction approach for linear time-invariant second order systems based on positive real balanced truncation. Our method guarantees asymptotic stability and pa…

math.NA2020

Derivative Interpolating Subspace Frameworks for Nonlinear Eigenvalue Problems

Rifqi Aziz, Emre Mengi, Matthias Voigt

We first consider the problem of approximating a few eigenvalues of a rational matrix-valued function closest to a prescribed target. It is assumed that the proper rational part of…

eess.SY2020★ 5 cited

Balanced Truncation Model Reduction with A Priori Error Bounds for LTI Systems with Nonzero Initial Value

Christian Schröder, Matthias Voigt

In standard balanced truncation model order reduction, the initial condition is typically ignored in the reduction procedure and is assumed to be zero instead. However, such a redu…

math.OC2020

Discounted Cost Linear Quadratic Gaussian Control for Descriptor Systems

Hermann Mena, Lena-Maria Pfurtscheller, Matthias Voigt

We consider the linear quadratic Gaussian control problem with a discounted cost functional for descriptor systems on the infinite time horizon. Based on recent results from the de…

math.NA2020

Semi-active damping optimization by adaptive interpolation

Zoran Tomljanović, Matthias Voigt

In this work we consider the problem of semi-active damping optimization of mechanical systems with fixed damper positions. Our goal is to compute a damping that is locally optimal…

math.NA2019

A Subspace Framework for -Norm Minimization

Nicat Aliyev, Peter Benner, Emre Mengi +1

We deal with the minimization of the -norm of the transfer function of a parameter-dependent descriptor system over the set of admissible parameter values. Sub…

math.NA2017

Large-Scale Computation of -Norms by a Greedy Subspace Method

Nicat Aliyev, Peter Benner, Emre Mengi +2

We are concerned with the computation of the -norm for an -function of the form , where the middle factor is t…

math.OC2017

On linear-quadratic optimal control of implicit difference equations

Daniel Bankmann, Matthias Voigt

In this work we investigate explicit and implicit difference equations and the corresponding infinite time horizon linear-quadratic optimal control problem. We derive conditions fo…