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Paul Schwerdtner
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2020 – today
- 2024
- [j6]Paul Schwerdtner
, Philipp Schulze
Nonlinear Embeddings for Conserving Hamiltonians and Other Quantities with Neural Galerkin Schemes. SIAM J. Sci. Comput. 46(5): 583- (2024) - [i12]Paul Schwerdtner, Benjamin Peherstorfer:
Greedy construction of quadratic manifolds for nonlinear dimensionality reduction and nonlinear model reduction. CoRR abs/2403.06732 (2024) - [i11]Paul Schwerdtner, Prakash Mohan, Aleksandra Pachalieva, Julie Bessac, Daniel O'Malley, Benjamin Peherstorfer:
Online learning of quadratic manifolds from streaming data for nonlinear dimensionality reduction and nonlinear model reduction. CoRR abs/2409.02703 (2024) - 2023
- [j5]Paul Schwerdtner, Matthias Voigt
Fixed-order H-infinity controller design for port-Hamiltonian systems. Autom. 152: 110918 (2023) - [j4]Paul Schwerdtner
Optimization-based model order reduction of port-Hamiltonian descriptor systems. Syst. Control. Lett. 182: 105655 (2023) - [j3]Paul Schwerdtner
SOBMOR: Structured Optimization-Based Model Order Reduction. SIAM J. Sci. Comput. 45(2): 502- (2023) - [i10]Paul Schwerdtner, Philipp Schulze, Jules Berman, Benjamin Peherstorfer:
Nonlinear embeddings for conserving Hamiltonians and other quantities with Neural Galerkin schemes. CoRR abs/2310.07485 (2023) - 2022
- [j2]Scott A. Bortoff
H-Infinity Loop-Shaped Model Predictive Control With HVAC Application. IEEE Trans. Control. Syst. Technol. 30(5): 2188-2203 (2022) - [i9]Paul Schwerdtner, Tim Moser, Volker Mehrmann, Matthias Voigt:
Structure-Preserving Model Order Reduction for Index One Port-Hamiltonian Descriptor Systems. CoRR abs/2206.01608 (2022) - [i8]Tim Moser, Paul Schwerdtner, Volker Mehrmann, Matthias Voigt:
Structure-Preserving Model Order Reduction for Index Two Port-Hamiltonian Descriptor Systems. CoRR abs/2206.03942 (2022) - [i7]Paul Schwerdtner, Manuel Schaller:
Structured Optimization-Based Model Order Reduction for Parametric Systems. CoRR abs/2209.05101 (2022) - [i6]Paul Schwerdtner, Matthias Voigt:
Fixed-Order H-Infinity Controller Design for Port-Hamiltonian Systems. CoRR abs/2209.07558 (2022) - 2021
- [i5]Paul Schwerdtner:
Port-Hamiltonian System Identification from Noisy Frequency Response Data. CoRR abs/2106.11355 (2021) - [i4]Paul Schwerdtner, Matthias Voigt:
Adaptive Sampling for Structure Preserving Model Order Reduction of Port-Hamiltonian Systems. CoRR abs/2106.11366 (2021) - 2020
- [i3]Rebekka S. Beddig
Structure-Preserving Model Reduction for Dissipative Mechanical Systems. CoRR abs/2010.06331 (2020) - [i2]Paul Schwerdtner, Florens Greßner, Nikhil Kapoor, Felix Assion, René Sass, Wiebke Günther, Fabian Hüger, Peter Schlicht:
Risk Assessment for Machine Learning Models. CoRR abs/2011.04328 (2020) - [i1]Paul Schwerdtner, Matthias Voigt:
Structure Preserving Model Order Reduction by Parameter Optimization. CoRR abs/2011.07567 (2020)
2010 – 2019
- 2019
- [c2]Paul Schwerdtner, Scott A. Bortoff, Claus Danielson, Stefano Di Cairano:
Projection-Based Anti-Windup for Multivariable Control with Heat Pump Application. ECC 2019: 1281-1287 - [c1]Scott A. Bortoff, Paul Schwerdtner, Claus Danielson, Stefano Di Cairano:
H-Infinity Loop-Shaped Model Predictive Control with Heat Pump Application. ECC 2019: 2386-2393 - 2017
- [j1]Nicat Aliyev, Peter Benner
Large-Scale Computation of ℒ∞-Norms by a Greedy Subspace Method. SIAM J. Matrix Anal. Appl. 38(4): 1496-1516 (2017)
Coauthor Index
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