Paul Schwerdtner

29 papers Journal 27Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Empirical Sparse Regression on Quadratic Manifolds. SIAM J. Sci. Comput. Paul Schwerdtner, Serkan Gugercin, Benjamin Peherstorfer
2025	J	`jnl`	Energy Matching in Reduced Passive and Port-Hamiltonian Systems. SIAM J. Control. Optim. Tobias Holicki, Jonas Nicodemus, Paul Schwerdtner, Benjamin Unger
2025	J	`jnl`	Hankel Singular Value Regularization for Highly Compressible State Space Models. CoRR Paul Schwerdtner, Jules Berman, Benjamin Peherstorfer
2025	J	`jnl`	Nonlinear model reduction with Neural Galerkin schemes on quadratic manifolds. J. Comput. Phys. Philipp Weder, Paul Schwerdtner, Benjamin Peherstorfer
2025	J	`jnl`	Operator Inference Aware Quadratic Manifolds with Isotropic Reduced Coordinates for Nonintrusive Model Reduction. CoRR Paul Schwerdtner, Prakash Mohan, Julie Bessac, Marc T. Henry de Frahan, Benjamin Peherstorfer
2025	J	`jnl`	Randomized time stepping of nonlinearly parametrized solutions of evolution problems. CoRR Yijun Dong, Paul Schwerdtner, Benjamin Peherstorfer
2025	J	`jnl`	Structured Optimization-Based Model Order Reduction for Parametric Systems. SIAM J. Sci. Comput. Paul Schwerdtner, Manuel Schaller
2024	J	`jnl`	Empirical sparse regression on quadratic manifolds. CoRR Paul Schwerdtner, Serkan Gugercin, Benjamin Peherstorfer
2024	J	`jnl`	Greedy construction of quadratic manifolds for nonlinear dimensionality reduction and nonlinear model reduction. CoRR Paul Schwerdtner, Benjamin Peherstorfer
2024	J	`jnl`	Nonlinear Embeddings for Conserving Hamiltonians and Other Quantities with Neural Galerkin Schemes. SIAM J. Sci. Comput. Paul Schwerdtner, Philipp Schulze, Jules Berman, Benjamin Peherstorfer
2024	J	`jnl`	Nonlinear model reduction with Neural Galerkin schemes on quadratic manifolds. CoRR Philipp Weder, Paul Schwerdtner, Benjamin Peherstorfer
2024	J	`jnl`	Online learning of quadratic manifolds from streaming data for nonlinear dimensionality reduction and nonlinear model reduction. CoRR Paul Schwerdtner, Prakash Mohan, Aleksandra Pachalieva, Julie Bessac, Daniel O'Malley, Benjamin Peherstorfer
2023	J	`jnl`	Fixed-order H-infinity controller design for port-Hamiltonian systems. Autom. Paul Schwerdtner, Matthias Voigt
2023	J	`jnl`	Nonlinear embeddings for conserving Hamiltonians and other quantities with Neural Galerkin schemes. CoRR Paul Schwerdtner, Philipp Schulze, Jules Berman, Benjamin Peherstorfer
2023	J	`jnl`	Optimization-based model order reduction of port-Hamiltonian descriptor systems. Syst. Control. Lett. Paul Schwerdtner, Tim Moser, Volker Mehrmann, Matthias Voigt
2023	J	`jnl`	SOBMOR: Structured Optimization-Based Model Order Reduction. SIAM J. Sci. Comput. Paul Schwerdtner, Matthias Voigt
2022	J	`jnl`	Fixed-Order H-Infinity Controller Design for Port-Hamiltonian Systems. CoRR Paul Schwerdtner, Matthias Voigt
2022	J	`jnl`	H-Infinity Loop-Shaped Model Predictive Control With HVAC Application. IEEE Trans. Control. Syst. Technol. Scott A. Bortoff, Paul Schwerdtner, Claus Danielson, Stefano Di Cairano, Daniel J. Burns
2022	J	`jnl`	Structure-Preserving Model Order Reduction for Index One Port-Hamiltonian Descriptor Systems. CoRR Paul Schwerdtner, Tim Moser, Volker Mehrmann, Matthias Voigt
2022	J	`jnl`	Structure-Preserving Model Order Reduction for Index Two Port-Hamiltonian Descriptor Systems. CoRR Tim Moser, Paul Schwerdtner, Volker Mehrmann, Matthias Voigt
2022	J	`jnl`	Structured Optimization-Based Model Order Reduction for Parametric Systems. CoRR Paul Schwerdtner, Manuel Schaller
2021	J	`jnl`	Adaptive Sampling for Structure Preserving Model Order Reduction of Port-Hamiltonian Systems. CoRR Paul Schwerdtner, Matthias Voigt
2021	J	`jnl`	Port-Hamiltonian System Identification from Noisy Frequency Response Data. CoRR Paul Schwerdtner
2020	J	`jnl`	Risk Assessment for Machine Learning Models. CoRR Paul Schwerdtner, Florens Greßner, Nikhil Kapoor, Felix Assion, René Sass, Wiebke Günther, Fabian Hüger, Peter Schlicht
2020	J	`jnl`	Structure Preserving Model Order Reduction by Parameter Optimization. CoRR Paul Schwerdtner, Matthias Voigt
2020	J	`jnl`	Structure-Preserving Model Reduction for Dissipative Mechanical Systems. CoRR Rebekka S. Beddig, Peter Benner, Ines Dorschky, Timo Reis, Paul Schwerdtner, Matthias Voigt, Steffen W. R. Werner
2019	—	`conf`	H-Infinity Loop-Shaped Model Predictive Control with Heat Pump Application. ECC Scott A. Bortoff, Paul Schwerdtner, Claus Danielson, Stefano Di Cairano
2019	—	`conf`	Projection-Based Anti-Windup for Multivariable Control with Heat Pump Application. ECC Paul Schwerdtner, Scott A. Bortoff, Claus Danielson, Stefano Di Cairano
2017	J	`jnl`	Large-Scale Computation of ℒ SIAM J. Matrix Anal. Appl. Nicat Aliyev, Peter Benner, Emre Mengi, Paul Schwerdtner, Matthias Voigt