Paul Schwerdtner

According to our database, Paul Schwerdtner authored at least 25 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Two-Parameter Flows for Learning Population Dynamics of Physical Systems.

Paul Schwerdtner, Tobias Blickhan, Benjamin Peherstorfer

CoRR, May, 2026

2025

Randomized time stepping of nonlinearly parametrized solutions of evolution problems.

Yijun Dong, Paul Schwerdtner, Benjamin Peherstorfer

CoRR, December, 2025

Operator Inference Aware Quadratic Manifolds with Isotropic Reduced Coordinates for Nonintrusive Model Reduction.

Paul Schwerdtner, Prakash Mohan, Julie Bessac, Marc T. Henry de Frahan, Benjamin Peherstorfer

CoRR, July, 2025

Structured Optimization-Based Model Order Reduction for Parametric Systems.

Paul Schwerdtner, Manuel Schaller

SIAM J. Sci. Comput., 2025

Empirical Sparse Regression on Quadratic Manifolds.

Paul Schwerdtner, Serkan Gugercin, Benjamin Peherstorfer

SIAM J. Sci. Comput., 2025

Energy Matching in Reduced Passive and Port-Hamiltonian Systems.

Tobias Holicki, Jonas Nicodemus, Paul Schwerdtner, Benjamin Unger

SIAM J. Control. Optim., 2025

Nonlinear model reduction with Neural Galerkin schemes on quadratic manifolds.

Philipp Weder, Paul Schwerdtner, Benjamin Peherstorfer

J. Comput. Phys., 2025

Hankel Singular Value Regularization for Highly Compressible State Space Models.

Paul Schwerdtner, Jules Berman, Benjamin Peherstorfer

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Nonlinear Embeddings for Conserving Hamiltonians and Other Quantities with Neural Galerkin Schemes.

Paul Schwerdtner, Philipp Schulze, Jules Berman, Benjamin Peherstorfer

SIAM J. Sci. Comput., 2024

Online learning of quadratic manifolds from streaming data for nonlinear dimensionality reduction and nonlinear model reduction.

Paul Schwerdtner, Prakash Mohan, Aleksandra Pachalieva, Julie Bessac, Daniel O'Malley, Benjamin Peherstorfer

CoRR, 2024

Greedy construction of quadratic manifolds for nonlinear dimensionality reduction and nonlinear model reduction.

Paul Schwerdtner, Benjamin Peherstorfer

CoRR, 2024

2023

Optimization-based model order reduction of port-Hamiltonian descriptor systems.

Paul Schwerdtner, Tim Moser, Volker Mehrmann, Matthias Voigt

Syst. Control. Lett., December, 2023

Fixed-order H-infinity controller design for port-Hamiltonian systems.

Paul Schwerdtner, Matthias Voigt

Autom., June, 2023

SOBMOR: Structured Optimization-Based Model Order Reduction.

Paul Schwerdtner, Matthias Voigt

SIAM J. Sci. Comput., April, 2023

2022

H-Infinity Loop-Shaped Model Predictive Control With HVAC Application.

Scott A. Bortoff, Paul Schwerdtner, Claus Danielson, Stefano Di Cairano, Daniel J. Burns

IEEE Trans. Control. Syst. Technol., 2022

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

Tim Moser, Paul Schwerdtner, Volker Mehrmann, Matthias Voigt

CoRR, 2022

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

Paul Schwerdtner, Tim Moser, Volker Mehrmann, Matthias Voigt

CoRR, 2022

2021

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

Paul Schwerdtner, Matthias Voigt

CoRR, 2021

Port-Hamiltonian System Identification from Noisy Frequency Response Data.

Paul Schwerdtner

CoRR, 2021

2020

Structure Preserving Model Order Reduction by Parameter Optimization.

Paul Schwerdtner, Matthias Voigt

CoRR, 2020

Risk Assessment for Machine Learning Models.

Paul Schwerdtner, Florens Greßner, Nikhil Kapoor, Felix Assion, René Sass, Wiebke Günther, Fabian Hüger, Peter Schlicht

CoRR, 2020

Structure-Preserving Model Reduction for Dissipative Mechanical Systems.

Rebekka S. Beddig, Peter Benner, Ines Dorschky, Timo Reis, Paul Schwerdtner, Matthias Voigt, Steffen W. R. Werner

CoRR, 2020

2019

Projection-Based Anti-Windup for Multivariable Control with Heat Pump Application.

Paul Schwerdtner, Scott A. Bortoff, Claus Danielson, Stefano Di Cairano

Proceedings of the 17th European Control Conference, 2019

H-Infinity Loop-Shaped Model Predictive Control with Heat Pump Application.

Scott A. Bortoff, Paul Schwerdtner, Claus Danielson, Stefano Di Cairano

Proceedings of the 17th European Control Conference, 2019

2017

Large-Scale Computation of ℒ_∞-Norms by a Greedy Subspace Method.

Nicat Aliyev, Peter Benner, Emre Mengi, Paul Schwerdtner, Matthias Voigt

SIAM J. Matrix Anal. Appl., 2017