8 citations · 23 across the 18 of their papers we have counts for
6 papers · 1 filter
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…
Structured Optimization-Based Model Order Reduction for Parametric Systems
Paul Schwerdtner, Manuel Schaller
We develop an optimization-based algorithm for parametric model order reduction (PMOR) of linear time-invariant dynamical systems. Our method aims at minimizing the $\mathcal{H}_\i…
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…
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…
Port-Hamiltonian System Identification from Noisy Frequency Response Data
Paul Schwerdtner
We present a new method for the identification of linear time-invariant passive systems from noisy frequency response data. In particular, we propose to fit a parametrized port-Ham…
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…