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128 Publications
2025 | Preprint | LibreCat-ID: 58544 | 
Kopylov D, Offen C, Ares L, et al. Multiphoton, multimode state classification for nonlinear optical circuits .
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| arXiv
2024 | Journal Article | LibreCat-ID: 53101 |
Leyendecker S, Maslovskaya S, Ober-Blöbaum S, Almagro RTSM de, Szemenyei FO. A new Lagrangian approach to control affine systems with a quadratic Lagrange term. Journal of Computational Dynamics. 2024;0(0):0-0. doi:10.3934/jcd.2024017
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2024 | Journal Article | LibreCat-ID: 46469 |
Offen C, Ober-Blöbaum S. Learning of discrete models of variational PDEs from data. Chaos. 2024;34(1). doi:10.1063/5.0172287
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| arXiv
2023 | Conference Paper | LibreCat-ID: 34135 |
Lishkova Y, Scherer P, Ridderbusch S, et al. Discrete Lagrangian Neural Networks with Automatic Symmetry Discovery. In: IFAC-PapersOnLine. Vol 56. Elsevier; 2023:3203-3210. doi:10.1016/j.ifacol.2023.10.1457
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| arXiv
2023 | Conference Paper | LibreCat-ID: 42163 |
Offen C, Ober-Blöbaum S. Learning discrete Lagrangians for variational PDEs from data and detection of travelling waves. In: Nielsen F, Barbaresco F, eds. Geometric Science of Information. Vol 14071. Lecture Notes in Computer Science (LNCS). Springer, Cham.; 2023:569-579. doi:10.1007/978-3-031-38271-0_57
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| arXiv
2023 | Journal Article | LibreCat-ID: 29240 |
Ober-Blöbaum S, Offen C. Variational Learning of Euler–Lagrange Dynamics from Data. Journal of Computational and Applied Mathematics. 2023;421:114780. doi:10.1016/j.cam.2022.114780
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| arXiv
2023 | Journal Article | LibreCat-ID: 37654 |
Dierkes E, Offen C, Ober-Blöbaum S, Flaßkamp K. Hamiltonian Neural Networks with Automatic Symmetry Detection. Chaos. 2023;33(6). doi:10.1063/5.0142969
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| arXiv
2023 | Journal Article | LibreCat-ID: 21600
Dellnitz M, Hüllermeier E, Lücke M, et al. Efficient time stepping for numerical integration using reinforcement learning. SIAM Journal on Scientific Computing. 2023;45(2):A579-A595. doi:10.1137/21M1412682
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| arXiv
2023 | Report | LibreCat-ID: 47147
Lishkova Y, Ober-Blöbaum S, Leyendecker S. Multirate Discrete Mechanics and Optimal Control for a Flexible Satelite Model . Invited Mathematical Magazine Article; 2023.
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2023 | Conference Paper | LibreCat-ID: 47148
Lishkova Y, Bando M, Ober-Blöbaum S. Variational approach for modelling and optimal control of electrodynamic tether motion. In: Accepted for the 74th International Astronautical Concress (IAC); 2023.
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2022 | Journal Article | LibreCat-ID: 30490
Cresson J, Jiménez F, Ober-Blöbaum S. Continuous and discrete Noether’s fractional conserved quantities for restricted calculus of variations. AIMS. 2022;14(1):57-89.
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2022 | Conference Paper | LibreCat-ID: 30733
Vertovec N, Ober-Blöbaum S, Margellos K. Verification of safety critical control policies using kernel methods. In: ; 2022:1870-1875.
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2022 | Journal Article | LibreCat-ID: 44624
Faulwasser T, Flaßkamp K, Ober-Blöbaum S, Schaller M, Worthmann K. Manifold turnpikes, trims, and symmetries. Mathematics of Control, Signals, and Systems. 2022;34:759-788.
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2022 | Journal Article | LibreCat-ID: 23382 |
Offen C, Ober-Blöbaum S. Symplectic integration of learned Hamiltonian systems. Chaos: An Interdisciplinary Journal of Nonlinear Science. 2022;32(1). doi:10.1063/5.0065913
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| arXiv
2021 | Conference Paper | LibreCat-ID: 29421
Ober-Blöbaum S, Vermeeren M. Superconvergence of galerkin variational integrators. In: IFAC-PapersOnLine, ed. 7th IIFAC Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control LHMNC. Vol 54(19). ; 2021:327-333.
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2021 | Journal Article | LibreCat-ID: 16294 |
Ober-Blöbaum S, Peitz S. Explicit multiobjective model predictive control for nonlinear systems with symmetries. International Journal of Robust and Nonlinear Control. 2021;31(2):380-403. doi:10.1002/rnc.5281
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2021 | Conference Paper | LibreCat-ID: 22894 |
Offen C, Ober-Blöbaum S. Bifurcation preserving discretisations of optimal control problems. 2021;54(19):334-339. doi:https://doi.org/10.1016/j.ifacol.2021.11.099
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| arXiv
2021 | Conference Paper | LibreCat-ID: 21572
Ridderbusch S, Offen C, Ober-Blöbaum S, Goulart P. Learning ODE Models with Qualitative Structure Using Gaussian Processes . In: 2021 60th IEEE Conference on Decision and Control (CDC). IEEE; 2021:2896. doi:10.1109/CDC45484.2021.9683426
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| arXiv
2021 | Conference Paper | LibreCat-ID: 29868
Jiménez F, Ober-Blöbaum S. Fractional Damping Through Restricted Calculus of Variations. In: Nichtlineare Sci 31. Vol 46. J Nonlinear Sci . ; 2021.
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