Paul Schwerdtner

According to our database, Paul Schwerdtner authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

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

Structured Optimization-Based Model Order Reduction for Parametric Systems.

Paul Schwerdtner, Manuel Schaller

CoRR, 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