Publications
You can also find my publications on my Google Scholar and ORCID profiles. A detailed list of citable code packages accompaning my publications can be found at the end of my Software page.
Submitted Articles
J. Heiland, Y. Kim, and S. W. R. Werner. Deep polytopic autoencoders for low-dimensional linear parameter-varying approximations and nonlinear feedback design. e-print 2403.18044, arXiv, 2024. Optimization and Control (math.OC). doi:10.48550/arXiv.2403.18044
S. Reiter and S. W. R. Werner. Interpolatory model order reduction of large-scale dynamical systems with root mean squared error measures. e-print 2403.08894, arXiv, 2024. Numerical Analysis (math.NA). doi:10.48550/arXiv.2403.08894
Journal Articles
S. W. R. Werner and B. Peherstorfer. System stabilization with policy optimization on unstable latent manifolds. Comput. Methods Appl. Mech. Eng., 433, Part A:117483, 2025. doi:10.1016/j.cma.2024.117483
J. Saak and S. W. R. Werner. Using \(LDL^{T}\) factorizations in Newton’s method for solving general large-scale algebraic Riccati equations. Electron. Trans. Numer. Anal., 62:95–118, 2024. doi:10.1553/etna_vol62s95
Q. Aumann and S. W. R. Werner. Adaptive choice of near-optimal expansion points for interpolation-based structure-preserving model reduction. Adv. Comput. Math., 50(4):79, 2024. doi:10.1007/s10444-024-10166-z
S. W. R. Werner and B. Peherstorfer. On the sample complexity of stabilizing linear dynamical systems from data. Found. Comput. Math., 24(3):955–987, 2024. doi:10.1007/s10208-023-09605-y
I. V. Gosea, S. Gugercin, and S. W. R. Werner. Structured barycentric forms for interpolation-based data-driven reduced modeling of second-order systems. Adv. Comput. Math., 50(2):26, 2024. doi:10.1007/s10444-024-10118-7
P. Benner, S. Gugercin, and S. W. R. Werner. Structured interpolation for multivariate transfer functions of quadratic-bilinear systems. Adv. Comput. Math., 50(2):18, 2024. doi:10.1007/s10444-024-10109-8
P. Benner, S. Gugercin, and S. W. R. Werner. A unifying framework for tangential interpolation of structured bilinear control systems. Numer. Math., 155(3–4):445–483, 2023. doi:10.1007/s00211-023-01380-w
J. Heiland and S. W. R. Werner. Low-complexity linear parameter-varying approximations of incompressible Navier-Stokes equations for truncated state-dependent Riccati feedback. IEEE Control Syst. Lett., 7:3012–3017, 2023. doi:10.1109/LCSYS.2023.3291231
S. W. R. Werner, M. L. Overton, and B. Peherstorfer. Multifidelity robust controller design with gradient sampling. SIAM J. Sci. Comput., 45(2):A933–A957, 2023. doi:10.1137/22M1500137
S. W. R. Werner and B. Peherstorfer. Context-aware controller inference for stabilizing dynamical systems from scarce data. Proc. R. Soc. A: Math. Phys. Eng. Sci., 479(2270):20220506, 2023. doi:10.1098/rspa.2022.0506
P. Benner, J. Heiland, and S. W. R. Werner. A low-rank solution method for Riccati equations with indefinite quadratic terms. Numer. Algorithms, 92(2):1083–1103, 2023. doi:10.1007/s11075-022-01331-w
Q. Aumann and S. W. R. Werner. Structured model order reduction for vibro-acoustic problems using interpolation and balancing methods. J. Sound Vib., 543:117363, 2023. doi:10.1016/j.jsv.2022.117363
P. Benner, J. Heiland, and S. W. R. Werner. Robust output-feedback stabilization for incompressible flows using low-dimensional \(\mathcal{H}_{\infty}\)-controllers. Comput. Optim. Appl., 82(1):225–249, 2022. doi:10.1007/s10589-022-00359-x
P. Benner, Y. Filanova, D. Karachalios, S. Monem Abdelhafez, J. Przybilla, and S. W. R. Werner. Mathematische Komplexitätsreduktion: Modellreduktion dynamischer Systeme. Mitteilungen der Deutschen Mathematiker-Vereinigung, 29(4):198–204, 2021. doi:10.1515/dmvm-2021-0075
R. Jendersie and S. W. R. Werner. A comparison of numerical methods for model reduction of dense discrete-time systems. at-Automatisierungstechnik, 69(8):683–694, 2021. doi:10.1515/auto-2021-0035
P. Benner, S. Gugercin, and S. W. R. Werner. Structure-preserving interpolation for model reduction of parametric bilinear systems. Automatica, 132:109799, 2021. doi:10.1016/j.automatica.2021.109799
P. Benner, S. Gugercin, and S. W. R. Werner. Structure-preserving interpolation of bilinear control systems. Adv. Comput. Math., 47(3):43, 2021. doi:10.1007/s10444-021-09863-w
P. Benner and S. W. R. Werner. Frequency- and time-limited balanced truncation for large-scale second-order systems. Linear Algebra Appl., 623:68–103, 2021. Special issue in honor of P. Van Dooren, Edited by F. Dopico, D. Kressner, N. Mastronardi, V. Mehrmann, and R. Vandebril. doi:10.1016/j.laa.2020.06.024
P. Benner and S. W. R. Werner. Hankel-norm approximation of large-scale descriptor systems. Adv. Comput. Math., 46(3):40, 2020. doi:10.1007/s10444-020-09750-w
J. Saak, D. Siebelts, and S. W. R. Werner. A comparison of second-order model order reduction methods for an artificial fishtail. at-Automatisierungstechnik, 67(8):648–667, 2019. doi:10.1515/auto-2019-0027
Book Chapters
R. S. Beddig, P. Benner, I. Dorschky, T. Reis, P. Schwerdtner, M. Voigt, and S. W. R. Werner. Structure-preserving model reduction for dissipative mechanical systems. In P. Eberhard, editor, Calm, Smooth and Smart, volume 102 of Lect. Notes Appl. Comput. Mech., pages 209–230. Springer, Cham, 2024. doi:10.1007/978-3-031-36143-2_11
P. Benner and S. W. R. Werner. MORLAB—The Model Order Reduction LABoratory. In P. Benner, T. Breiten, H. Faßbender, M. Hinze, T. Stykel, and R. Zimmermann, editors, Model Reduction of Complex Dynamical Systems, volume 117 of International Series of Numerical Mathematics, pages 393–415. Birkhäuser, Cham, 2021. doi:10.1007/978-3-030-72983-7_19
P. Benner and S. W. R. Werner. MORLAB – A model order reduction framework in MATLAB and Octave. In A. M. Bigatti, J. Carette, J. H. Davenport, M. Joswig, and T. de Wolff, editors, Mathematical Software – ICMS 2020, volume 12097 of Lecture Notes in Comput. Sci., pages 432–441. Springer International Publishing, Cham, 2020. doi:10.1007/978-3-030-52200-1_43
Proceedings
P. Benner, S. Gugercin, and S. W. R. Werner. Structure-preserving interpolation of quadratic-bilinear systems via regular multivariate transfer functions. Proc. Appl. Math. Mech., 24(3):e202400048, 2024. doi:10.1002/pamm.202400048
S. W. R. Werner, I. V. Gosea, and S. Gugercin. Structured vector fitting framework for mechanical systems. IFAC-Pap., 55(20):163–168, 2022. 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022. doi:10.1016/j.ifacol.2022.09.089
P. Benner and S. W. R. Werner. Frequenz- und zeitbeschränktes balanciertes Abschneiden für Systeme zweiter Ordnung. In T. Meurer and F. Woittennek, editors, Tagungsband GMA-FA 1.30 ‘Modellbildung, Identifikation und Simulation in der Automatisierungstechnik’ und GMA-FA 1.40 ‘Systemtheorie und Regelungstechnik’, Workshops in Anif, Salzburg, 23.-27.09.2019, pages 460–474, 2019.
P. Benner and S. W. R. Werner. MORLAB – Model Order Reduction LABoratory. In T. Meurer and F. Woittennek, editors, Tagungsband GMA-FA 1.30 ‘Modellbildung, Identifikation und Simulation in der Automatisierungstechnik’ und GMA-FA 1.40 ‘Systemtheorie und Regelungstechnik’, Workshops in Anif, Salzburg, 23.-27.09.2019, pages 337–342, 2019.
R. S. Beddig, P. Benner, I. Dorschky, T. Reis, P. Schwerdtner, M. Voigt, and S. W. R. Werner. Model reduction for second-order dynamical systems revisited. Proc. Appl. Math. Mech., 19(1):e201900224, 2019. doi:10.1002/pamm.201900224
P. Benner, J. Heiland, and S. W. R. Werner. Robust controller versus numerical model uncertainties for stabilization of Navier-Stokes equations. IFAC-Pap., 52(2):25–29, 2019. 3rd IFAC/IEEE CSS Workshop on Control of Systems Governed by Partial Differential Equation CPDE 2019. doi:10.1016/j.ifacol.2019.08.005
P. Benner and S. W. R. Werner. Balancing related model reduction with the MORLAB toolbox. Proc. Appl. Math. Mech., 18(1):e201800083, 2018. doi:10.1002/pamm.201800083
P. Benner and S. W. R. Werner. Model reduction of descriptor systems with the MORLAB toolbox. IFAC-Pap., 51(2):547–552, 2018. 9th Vienna International Conference on Mathematical Modelling MATHMOD 2018. doi:10.1016/j.ifacol.2018.03.092
P. Benner and S. W. R. Werner. MORLAB - Modellreduktion in MATLAB. In T. Meurer and F. Woittennek, editors, Tagungsband GMA-FA 1.30 ‘Modellierung, Identifikation und Simulation in der Automatisierungstechnik’ und GMA-FA 1.40 ‘Theoretische Verfahren der Regelungstechnik’, Workshop in Anif, Salzburg, 18.-22.09.2017, pages 508–517, 2017.
P. Benner and S. W. R. Werner. On the transformation formulas of the Hankel-norm approximation. Proc. Appl. Math. Mech., 17(1):823–824, 2017. doi:10.1002/pamm.201710379
Software
P. Benner, J. Saak, and S. W. R. Werner. MORLAB – Model Order Reduction LABoratory (version 6.0), September 2023. See also: https://www.mpi-magdeburg.mpg.de/projects/morlab. doi:10.5281/zenodo.7072831
P. Benner and S. W. R. Werner. SOLBT – Limited balanced truncation for large-scale sparse second-order systems (version 3.0), April 2021. doi:10.5281/zenodo.4600763
P. Benner and S. W. R. Werner. SOMDDPA – Second-Order Modally-Damped Dominant Pole Algorithm (version 2.0), April 2021. doi:10.5281/zenodo.3997649
P. Benner and S. W. R. Werner. SOMDDPA – Second-Order Modally-Damped Dominant Pole Algorithm (version 1.1), January 2020. doi:10.5281/zenodo.3332706
P. Benner and S. W. R. Werner. Limited balanced truncation for large-scale sparse second-order systems (version 2.0), January 2020. doi:10.5281/zenodo.3331592
P. Benner and S. W. R. Werner. MORLAB – Model Order Reduction LABoratory (version 5.0), August 2019. see also: https://www.mpi-magdeburg.mpg.de/projects/morlab. doi:10.5281/zenodo.3332716
P. Benner and S. W. R. Werner. Limited balanced truncation for large-scale sparse second-order systems (version 1.0), February 2019. doi:10.5281/zenodo.2553926
P. Benner and S. W. R. Werner. SOMDDPA – Second-Order Modally Damped Dominant Pole Algorithm (version 1.0), February 2019. doi:10.5281/zenodo.2553902
P. Benner and S. W. R. Werner. MORLAB – Model Order Reduction LABoratory (version 4.0), December 2018. see also: https://www.mpi-magdeburg.mpg.de/projects/morlab. doi:10.5281/zenodo.1574083
P. Benner and S. W. R. Werner. MORLAB-3.0 – model order reduction laboratory, September 2017. see also: https://www.mpi-magdeburg.mpg.de/projects/morlab. doi:10.5281/zenodo.842659
Theses
S. W. R. Werner. Structure-Preserving Model Reduction for Mechanical Systems. Dissertation, Otto-von-Guericke-Universität, Magdeburg, Germany, 2021. doi:10.25673/38617
S. Werner. Hankel-norm approximation of descriptor systems. Master’s thesis, Otto-von-Guericke-Universität, Magdeburg, Germany, 2016. doi:10.25673/4507
S. Werner. Numerische Berechnung der Eigenwerte großer Hamiltonisch-positiver Matrizen. Bachelor’s thesis, Otto-von-Guericke-Universität, Magdeburg, Germany, 2014.