Sebastian Peitz

Data Science for Engineering
sebastian.peitz@uni-paderborn.de
ID
47427

90 Publications

Mark all

[90]
2026 | Journal Article | LibreCat-ID: 51160 | OA
Philipp, Friedrich M., Manuel Schaller, Septimus Boshoff, Sebastian Peitz, Feliks Nüske, and Karl Worthmann. “Variance Representations and Convergence Rates for Data-Driven Approximations of Koopman Operators.” Physica D: Nonlinear Phenomena 492 (2026). https://doi.org/10.1016/j.physd.2026.135223.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[89]
2026 | Journal Article | LibreCat-ID: 53858 | OA
Akhter, Junaid, Paul David Fährmann, Konstantin Sonntag, and Sebastian Peitz. “Common Pitfalls to Avoid While Using Multiobjective Optimization in Machine Learning.” SIAM Review 68, no. 3 (2026): 656–83. https://doi.org/10.1137/24M1658875.
LibreCat | DOI | Download (ext.)
 
[88]
2026 | Conference Paper | LibreCat-ID: 67308
Amakor, Augustina Chidinma, Manuel B. Berkemeier, Meike Claudia Wohlleben, Walter Sextro, and Sebastian Peitz. “Surrogate-Assisted Multi-Objective Design of Complex Multibody Systems.” In Artificial Neural Networks and Machine Learning – ICANN 2025, edited by Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor Jirsa, and Yoshua Bengio, 251–262. Cham: Springer Nature Switzerland, 2026. https://doi.org/10.1007/978-3-032-04555-3_21.
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[87]
2026 | Conference Paper | LibreCat-ID: 67307 | OA
Hotegni, Sedjro Salomon, and Sebastian Peitz. “SPREAD: Sampling-Based Pareto Front Refinement via Efficient Adaptive Diffusion.” In 14th International Conference on Learning Representations (ICLR), 2026. https://doi.org/10.48550/arXiv.2509.21058.
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[86]
2026 | Preprint | LibreCat-ID: 67306 | OA
Stenner, Jan, Hans Harder, and Sebastian Peitz. “Sparse Sensor Placement in Multi-Agent Reinforcement Learning Control of Rayleigh-Bénard Convection.” ArXiv:2606.30238, 2026.
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[85]
2026 | Preprint | LibreCat-ID: 67309
Stenner, Jan, Alexander Kilian, Sebastian Peitz, and Hermann de Meer. “Toward an Energy-Optimized Operation of Data Centers Located in Wind Farms Using Reinforcement Learning.” ArXiv:2606.30316, 2026.
LibreCat
 
[84]
2026 | Conference Paper | LibreCat-ID: 67300
Hotegni, Sedjro Salomon, and Sebastian Peitz. “Enhancing Adversarial Robustness Through Multi-Objective Representation Learning.” In Artificial Neural Networks and Machine Learning – ICANN 2025, edited by Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor Jirsa, and Yoshua Bengio, 442–454. Cham: Springer Nature Switzerland, 2026. https://doi.org/10.1007/978-3-032-04558-4_35.
LibreCat | DOI
 
[83]
2026 | Journal Article | LibreCat-ID: 67302
Markmann, Thorben, Michiel Straat, Sebastian Peitz, and Barbara Hammer. “Fourier Neural Operators as Data-Driven Surrogates for Two- and Three-Dimensional Rayleigh–Bénard Convection.” Neurocomputing 679 (2026): 133201. https://doi.org/10.1016/j.neucom.2026.133201.
LibreCat | DOI
 
[82]
2026 | Conference Paper | LibreCat-ID: 67299 | OA
Harder, Hans, Abhijeet Vishwasrao, Luca Guastoni, Ricardo Vinuesa, and Sebastian Peitz. “Efficient Probabilistic Surrogate Modeling Techniques for Partially-Observed Large-Scale Dynamical Systems.” In Proceedings of The 8th Annual Learning for Dynamics and Control Conference, edited by Gaurav Sukhatme, Lars Lindemann, Stephen Tu, Adam Wierman, and Nikolay Atanasov, 331:1601–1619. Proceedings of Machine Learning Research. PMLR, 2026. https://doi.org/10.48550/arXiv.2511.04641.
LibreCat | DOI | Download (ext.)
 
[81]
2026 | Conference Paper | LibreCat-ID: 67303 | OA
Amakor, Augustina Chidinma, Konstantin Sonntag, and Sebastian Peitz. “Interactive Pareto Navigation for Deep Multi-Task Learning.” In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 652–68, 2026. https://doi.org/10.1007/978-3-032-37667-1_37.
LibreCat | DOI | Download (ext.)
 
[80]
2026 | Conference Paper | LibreCat-ID: 67305 | OA
Becktepe, Jannis, Aleksandra Franz, Nils Thuerey, and Sebastian Peitz. “Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control.” In International Conference on Machine Learning (ICML), 2026. https://doi.org/10.48550/arXiv.2601.15015.
LibreCat | DOI | Download (ext.)
 
[79]
2026 | Journal Article | LibreCat-ID: 67301
Wohlleben, Meike Claudia, Jan Schütte, Manuel Berkemeier, Walter Sextro, and Sebastian Peitz. “Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings.” Multibody System Dynamics, 2026. https://doi.org/10.1007/s11044-026-10146-9.
LibreCat | DOI
 
[78]
2026 | Preprint | LibreCat-ID: 67298 | OA
Mugisho Zagabe, Christian, and Sebastian Peitz. “Automatic Feature Identification in Least-Squares Policy Iteration Using the Koopman Operator Framework.” ArXiv:2603.26464, 2026.
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[77]
2026 | Preprint | LibreCat-ID: 67304 | OA
Plotzki, Tim, and Sebastian Peitz. “Koopman-Based Surrogate Modeling for Reinforcement-Learning-Control of Rayleigh-Benard Convection.” ArXiv:2603.28074, 2026.
LibreCat | Download (ext.)
 
[76]
2025 | Journal Article | LibreCat-ID: 51159
Amakor, Augustina Chidinma, Konstantin Sonntag, and Sebastian Peitz. “A Multiobjective Continuation Method to Compute the Regularization Path of Deep Neural Networks.” Machine Learning with Applications 19 (2025). https://doi.org/10.1016/j.mlwa.2025.100625.
LibreCat | Files available | DOI
 
[75]
2025 | Journal Article | LibreCat-ID: 46579 | OA
Peitz, Sebastian, Hans Harder, Feliks Nüske, Friedrich Philipp, Manuel Schaller, and Karl Worthmann. “Equivariance and Partial Observations in Koopman Operator Theory for Partial Differential Equations.” Journal of Computational Dynamics 12 (2025): 305–24. https://doi.org/10.3934/jcd.2024035.
LibreCat | DOI | Download (ext.) | arXiv
 
[74]
2025 | Conference Paper | LibreCat-ID: 53793 | OA
Harder, Hans, and Sebastian Peitz. “Solving Partial Differential Equations with Equivariant Extreme Learning Machines.” In Systems Theory in Data and Optimization, edited by J. Berberich, A. Ianelli, and F. Allgöwer, 153–68. Cham: Springer, 2025. https://doi.org/10.1007/978-3-031-83191-1_10.
LibreCat | DOI | Download (ext.)
 
[73]
2025 | Conference Paper | LibreCat-ID: 67313
Voth, Diana, Leonidas Dane, Jonas Grebe, Sebastian Peitz, and Philipp Terhörst. “Effective Backdoor Learning on Open-Set Face Recognition Systems.” In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1027–39, 2025. https://doi.org/10.1109/WACV61041.2025.00109.
LibreCat | DOI
 
[72]
2025 | Preprint | LibreCat-ID: 67312
Markmann, Thorben, Michiel Straat, Sebastian Peitz, and Barbara Hammer. “Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime.” ArXiv:2504.12000, 2025.
LibreCat
 
[71]
2025 | Preprint | LibreCat-ID: 67310
Boshoff, Septimus, Sebastian Peitz, and Stefan Klus. “Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces.” ArXiv:2509.22482, 2025.
LibreCat
 
[70]
2025 | Journal Article | LibreCat-ID: 57829
Payrebrune, Kristin M. de, Kathrin Flaßkamp, Tom Ströhla, Thomas Sattel, Dieter Bestle, Benedict Röder, Peter Eberhard, et al. “The Impact of AI on Engineering Design Procedures for Dynamical Systems.” Technische Mechanik - European Journal of Engineering Mechanics 45, no. 1 (2025): 1–23. https://doi.org/10.24352/UB.OVGU-2025-037.
LibreCat | DOI
 
[69]
2025 | Journal Article | LibreCat-ID: 51158 | OA
Philipp, Friedrich, Manuel Schaller, Karl Worthmann, Sebastian Peitz, and Feliks Nüske. “Error Analysis of Kernel EDMD for Prediction and Control in the Koopman  Framework.” Ournal of Nonlinear Science 35 (2025). https://doi.org/10.1007/s00332-025-10182-3.
LibreCat | DOI | Download (ext.) | arXiv
 
[68]
2025 | Journal Article | LibreCat-ID: 67319
Payrebrune, K. M. de, K. Flaßkamp, T. Ströhla, T. Sattel, D. Bestle, B. Röder, P. Eberhard, et al. “The Impact of AI on Engineering Design Procedures for Dynamical Systems.” Technische Mechanik - European Journal of Engineering Mechanics 45, no. 1 (2025): 1–23. https://doi.org/10.24352/UB.OVGU-2025-037.
LibreCat | DOI
 
[67]
2025 | Journal Article | LibreCat-ID: 67317
Berkemeier, Manuel, and Sebastian Peitz. “Multi-Objective Trust-Region Filter Method for Nonlinear Constraints Using Inexact Gradients.” Open Journal of Mathematical Optimization 6 (2025): 1–36. https://doi.org/10.5802/ojmo.47.
LibreCat | DOI
 
[66]
2025 | Journal Article | LibreCat-ID: 67314
Harder, Hans, Sebastian Peitz, Feliks Nüske, Friedrich Philipp, Manuel Schaller, and Karl Worthmann. “Group Convolutional Extended Dynamic Mode Decomposition.” Physica D: Nonlinear Phenomena 480 (2025): 134725. https://doi.org/10.1016/j.physd.2025.134725.
LibreCat | DOI
 
[65]
2025 | Journal Article | LibreCat-ID: 67316
Peitz, Sebastian, and Sedjro Salomon Hotegni. “Multi-Objective Deep Learning: Taxonomy and Survey of the State of the Art.” Machine Learning with Applications, no. 100700 (2025). https://doi.org/10.1016/j.mlwa.2025.100700.
LibreCat | DOI
 
[64]
2025 | Preprint | LibreCat-ID: 67315
Straat, Michiel, Thorben Markmann, Sebastian Peitz, and Barbara Hammer. “Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning.” ArXiv:2511.00272, 2025.
LibreCat
 
[63]
2025 | Preprint | LibreCat-ID: 67318
Fromme, Fynn, Christine Allen-Blanchette, Hans Harder, and Sebastian Peitz. “Surrogate Modeling of 3D Rayleigh-Bénard Convection with Equivariant Autoencoders.” ArXiv:2505.13569, 2025.
LibreCat
 
[62]
2024 | Journal Article | LibreCat-ID: 46019 | OA
Sonntag, Konstantin, and Sebastian Peitz. “Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems.” Journal of Optimization Theory and Applications, 2024. https://doi.org/10.1007/s10957-024-02389-3.
LibreCat | DOI | Download (ext.)
 
[61]
2024 | Journal Article | LibreCat-ID: 40171 | OA
Peitz, Sebastian, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, and Kunihiko Taira. “Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning.” Physica D: Nonlinear Phenomena 461 (2024): 134096. https://doi.org/10.1016/j.physd.2024.134096.
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[60]
2024 | Journal Article | LibreCat-ID: 33461 | OA
Otto, Samuel E., Sebastian Peitz, and Clarence W. Rowley. “Learning Bilinear Models of Actuated Koopman Generators from  Partially-Observed Trajectories.” SIAM Journal on Applied Dynamical Systems 23, no. 1 (2024): 885–923. https://doi.org/10.1137/22M1523601.
LibreCat | DOI | Download (ext.) | arXiv
 
[59]
2024 | Journal Article | LibreCat-ID: 38031 | OA
Philipp, Friedrich, Manuel Schaller, Karl Worthmann, Sebastian Peitz, and Feliks Nüske. “Error Bounds for Kernel-Based Approximations of the Koopman Operator.” Applied and Computational Harmonic Analysis 71 (2024). https://doi.org/10.1016/j.acha.2024.101657.
LibreCat | DOI | Download (ext.) | arXiv
 
[58]
2024 | Journal Article | LibreCat-ID: 32447
Sonntag, Konstantin, and Sebastian Peitz. “Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping.” SIAM Journal on Optimization 34, no. 3 (2024): 2259–86. https://doi.org/10.1137/23M1588512.
LibreCat | DOI
 
[57]
2024 | Conference Paper | LibreCat-ID: 46649 | OA
Hotegni, Sedjro Salomon, Manuel Bastian Berkemeier, and Sebastian Peitz. “Multi-Objective Optimization for Sparse Deep Multi-Task Learning.” In 2024 International Joint Conference on Neural Networks (IJCNN), 9. Yokohama, Japan: IEEE, 2024. https://doi.org/10.1109/IJCNN60899.2024.10650994.
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[56]
2024 | Journal Article | LibreCat-ID: 51334 | OA
Sonntag, Konstantin, Bennet Gebken, Georg Müller, Sebastian Peitz, and Stefan Volkwein. “A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces.” Journal of Optimization Theory and Applications 203 (2024): 455–87. https://doi.org/10.1007/s10957-024-02520-4.
LibreCat | DOI | Download (ext.) | arXiv
 
[55]
2024 | Conference Paper | LibreCat-ID: 62913
Hunstig, Anna, Sebastian Peitz, Hendrik Rose, and Torsten Meier. “Accelerating the Analysis of Optical Quantum Systems Using the Koopman Operator.” In IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886589.
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[54]
2024 | Conference Paper | LibreCat-ID: 52758
Harder, Hans, and Sebastian Peitz. “On the Continuity and Smoothness of the Value Function in Reinforcement Learning and Optimal Control.” In IEEE 63rd Conference on Decision and Control (CDC), 1935–40. IEEE, 2024. https://doi.org/10.1109/CDC56724.2024.10886529.
LibreCat | DOI
 
[53]
2024 | Book Chapter | LibreCat-ID: 46578 | OA
Bernreuther, Marco, Michael Dellnitz, Bennet Gebken, Georg Müller, Sebastian Peitz, Konstantin Sonntag, and Stefan Volkwein. “Multiobjective Optimization of Non-Smooth PDE-Constrained Problems.” In DFG Priority Programme 1962. Birkhäuser, 2024.
LibreCat | Download (ext.) | arXiv
 
[52]
2024 | Conference Paper | LibreCat-ID: 42160 | OA
Werner, Stefan, and Sebastian Peitz. “Numerical Evidence for Sample Efficiency of Model-Based over Model-Free Reinforcement Learning Control of Partial Differential Equations.” In European Control Conference (ECC), 2958–64. IEEE, 2024. https://doi.org/10.23919/ECC64448.2024.10590945.
LibreCat | DOI | Download (ext.) | arXiv
 
[51]
2024 | Conference Paper | LibreCat-ID: 48502 | OA
Peitz, Sebastian, Anna Hunstig, Hendrik Rose, and Torsten Meier. “Accelerating the Analysis of Optical Quantum Systems Using the Koopman Operator.” In IEEE 63rd Conference on Decision and Control (CDC), 7964–69, 2024. https://doi.org/10.1109/CDC56724.2024.10886589.
LibreCat | DOI | Download (ext.)
 
[50]
2024 | Preprint | LibreCat-ID: 67320
Berkemeier, Manuel, Konstantin Sonntag, and Sebastian Peitz. “New Nonlinear Conjugate Gradient Methods with Guaranteed Descent for Multi-Objective Optimization.” Optimizaton Online, 2024.
LibreCat
 
[49]
2023 | Journal Article | LibreCat-ID: 21199 | OA
Peitz, Sebastian, and Katharina Bieker. “On the Universal Transformation of Data-Driven Models to Control Systems.” Automatica 149 (2023). https://doi.org/10.1016/j.automatica.2022.110840.
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[48]
2023 | Conference Paper | LibreCat-ID: 54838
Boshoff, Septimus, Jan Stenner, Daniel Weber, Marvin Meyer, Vikas Chidananda, Sebastian Peitz, and Oliver Wallscheid. “Hybrid Control of Interconnected Power Converters Using Both Expert-Driven Droop and Data-Driven Reinforcement Learning Approaches.” In IEEE Power and Energy Student Summit (PESS), 124–29. VDE, 2023.
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[47]
2023 | Conference Paper | LibreCat-ID: 54839
Meyer, Marvin, Daniel Weber, Vikas Chidananda, Oliver Schweins, Jan Stenner, Septimus Boshoff, Sebastian Peitz, and Oliver Wallscheid. “ElectricGrid.Jl – Automated Modeling of Decentralized Electrical Energy Grids.” In IEEE Power and Energy Student Summit (PESS), 112–17. VDE, 2023.
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[46]
2023 | Journal Article | LibreCat-ID: 27426 | OA
Gebken, Bennet, Katharina Bieker, and Sebastian Peitz. “On the Structure of Regularization Paths for Piecewise Differentiable Regularization Terms.” Journal of Global Optimization 85, no. 3 (2023): 709–41. https://doi.org/10.1007/s10898-022-01223-2.
LibreCat | DOI | Download (ext.)
 
[45]
2023 | Conference Paper | LibreCat-ID: 30125 | OA
Schaller, Manuel, Karl Worthmann, Friedrich Philipp, Sebastian Peitz, and Feliks Nüske. “Towards Reliable Data-Based Optimal and Predictive Control Using Extended DMD.” In IFAC-PapersOnLine, 56:169–74, 2023. https://doi.org/10.1016/j.ifacol.2023.02.029.
LibreCat | DOI | Download (ext.) | arXiv
 
[44]
2023 | Journal Article | LibreCat-ID: 23428 | OA
Nüske, Feliks, Sebastian Peitz, Friedrich Philipp, Manuel Schaller, and Karl Worthmann. “Finite-Data Error Bounds for Koopman-Based Prediction and Control.” Journal of Nonlinear Science 33 (2023). https://doi.org/10.1007/s00332-022-09862-1.
LibreCat | DOI | Download (ext.)
 
[43]
2023 | Journal Article | LibreCat-ID: 21600
Dellnitz, Michael, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, and Karlson Pfannschmidt. “Efficient Time Stepping for Numerical Integration Using Reinforcement  Learning.” SIAM Journal on Scientific Computing 45, no. 2 (2023): A579–95. https://doi.org/10.1137/21M1412682.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[42]
2023 | Journal Article | LibreCat-ID: 46784 | OA
Wallscheid, Oliver, Sebastian Peitz, Jan Stenner, Daniel Weber, Septimus Boshoff, Marvin Meyer, Vikas Chidananda, and Oliver Schweins. “ElectricGrid.Jl - A Julia-Based Modeling and Simulationtool for Power Electronics-Driven Electric Energy Grids.” Journal of Open Source Software 8, no. 89 (2023). https://doi.org/10.21105/joss.05616.
LibreCat | DOI | Download (ext.)
 
[41]
2023 | Conference Paper | LibreCat-ID: 46813 | OA
Wohlleben, Meike Claudia, Lars Muth, Sebastian Peitz, and Walter Sextro. “Transferability of a Discrepancy Model for the Dynamics of Electromagnetic Oscillating Circuits.” In Proceedings in Applied Mathematics and Mechanics. Wiley, 2023. https://doi.org/10.1002/pamm.202300039.
LibreCat | DOI | Download (ext.)
 
[40]
2022 | Book Chapter | LibreCat-ID: 16296 | OA
Banholzer, Stefan, Bennet Gebken, Michael Dellnitz, Sebastian Peitz, and Stefan Volkwein. “ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation.” In Non-Smooth and Complementarity-Based Distributed Parameter Systems, edited by Hintermüller Michael, Herzog Roland, Kanzow Christian, Ulbrich Michael, and Ulbrich Stefan, 43–76. Cham: Springer, 2022. https://doi.org/10.1007/978-3-030-79393-7_3.
LibreCat | DOI | Download (ext.)
 
[39]
2022 | Book Chapter | LibreCat-ID: 30294
Peitz, Sebastian, Michael Dellnitz, and Sebastian Bannenberg. “Efficient Virtual Design and Testing of Autonomous Vehicles.” In German Success Stories in Industrial Mathematics, edited by H. G. Bock, K.-H. Küfer, P. Maas, A. Milde, and V. Schulz, Vol. 35. Mathematics in Industry. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-81455-7_23.
LibreCat | DOI
 
[38]
2022 | Journal Article | LibreCat-ID: 29673 | OA
Klus, Stefan, Feliks Nüske, and Sebastian Peitz. “Koopman Analysis of Quantum Systems.” Journal of Physics A: Mathematical and Theoretical 55, no. 31 (2022): 314002. https://doi.org/10.1088/1751-8121/ac7d22.
LibreCat | DOI | Download (ext.) | arXiv
 
[37]
2022 | Preprint | LibreCat-ID: 33150 | OA
Berkemeier, Manuel Bastian, and Sebastian Peitz. “Multi-Objective Trust-Region Filter Method for Nonlinear Constraints Using Inexact Gradients.” ArXiv:2208.12094, 2022.
LibreCat | Download (ext.) | arXiv
 
[36]
2022 | Journal Article | LibreCat-ID: 20731 | OA
Bieker, Katharina, Bennet Gebken, and Sebastian Peitz. “On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation.” IEEE Transactions on Pattern Analysis and Machine Intelligence 44, no. 11 (2022): 7797–7808. https://doi.org/10.1109/TPAMI.2021.3114962.
LibreCat | Files available | DOI | Download (ext.)
 
[35]
2022 | Book Chapter | LibreCat-ID: 29727
Wohlleben, Meike Claudia, Amelie Bender, Sebastian Peitz, and Walter Sextro. “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction.” In Machine Learning, Optimization, and Data Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-95470-3_8.
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[34]
2021 | Journal Article | LibreCat-ID: 21337 | OA
Berkemeier, Manuel Bastian, and Sebastian Peitz. “Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models.” Mathematical and Computational Applications 26, no. 2 (2021). https://doi.org/10.3390/mca26020031.
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[33]
2021 | Journal Article | LibreCat-ID: 16867 | OA
Gebken, Bennet, and Sebastian Peitz. “An Efficient Descent Method for Locally Lipschitz Multiobjective Optimization Problems.” Journal of Optimization Theory and Applications 188 (2021): 696–723. https://doi.org/10.1007/s10957-020-01803-w.
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[32]
2021 | Journal Article | LibreCat-ID: 16295 | OA
Gebken, Bennet, and Sebastian Peitz. “Inverse Multiobjective Optimization: Inferring Decision Criteria from Data.” Journal of Global Optimization 80 (2021): 3–29. https://doi.org/10.1007/s10898-020-00983-z.
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[31]
2021 | Journal Article | LibreCat-ID: 16294 | OA
Ober-Blöbaum, Sina, and Sebastian Peitz. “Explicit Multiobjective Model Predictive Control for Nonlinear Systems  with Symmetries.” International Journal of Robust and Nonlinear Control 31(2) (2021): 380–403. https://doi.org/10.1002/rnc.5281.
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[30]
2020 | Book Chapter | LibreCat-ID: 17411
Flaßkamp, Kathrin, Sina Ober-Blöbaum, and Sebastian Peitz. “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach.” In Advances in Dynamics, Optimization and Computation, edited by Oliver Junge, Oliver Schütze, Gary Froyland, Sina Ober-Blöbaum, and Kathrin Padberg-Gehle. Cham: Springer, 2020. https://doi.org/10.1007/978-3-030-51264-4_9.
LibreCat | DOI
 
[29]
2020 | Journal Article | LibreCat-ID: 10596
Schütze, Oliver, Oliver Cuate, Adanay Martín, Sebastian Peitz, and Michael Dellnitz. “Pareto Explorer: A Global/Local Exploration Tool for Many-Objective Optimization Problems.” Engineering Optimization 52, no. 5 (2020): 832–55. https://doi.org/10.1080/0305215x.2019.1617286.
LibreCat | DOI
 
[28]
2020 | Journal Article | LibreCat-ID: 16288
Klus, Stefan, Feliks Nüske, Sebastian Peitz, Jan-Hendrik Niemann, Cecilia Clementi, and Christof Schütte. “Data-Driven Approximation of the Koopman Generator: Model Reduction, System Identification, and Control.” Physica D: Nonlinear Phenomena 406 (2020). https://doi.org/10.1016/j.physd.2020.132416.
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[27]
2020 | Book Chapter | LibreCat-ID: 16289
Peitz, Sebastian, and Stefan Klus. “Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator.” In Lecture Notes in Control and Information Sciences, 484:257–82. Lecture Notes in Control and Information Sciences. Cham: Springer, 2020. https://doi.org/10.1007/978-3-030-35713-9_10.
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[26]
2020 | Journal Article | LibreCat-ID: 16290 | OA
Bieker, Katharina, Sebastian Peitz, Steven L. Brunton, J. Nathan Kutz, and Michael Dellnitz. “Deep Model Predictive Flow Control with Limited Sensor Data and Online Learning.” Theoretical and Computational Fluid Dynamics 34 (2020): 577–591. https://doi.org/10.1007/s00162-020-00520-4.
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[25]
2020 | Journal Article | LibreCat-ID: 16309
Peitz, Sebastian, Samuel E. Otto, and Clarence W. Rowley. “Data-Driven Model Predictive Control Using Interpolated Koopman  Generators.” SIAM Journal on Applied Dynamical Systems 19, no. 3 (2020): 2162–93. https://doi.org/10.1137/20M1325678.
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[24]
2020 | Journal Article | LibreCat-ID: 16297
Hernández Castellanos, Carlos Ignacio, Sina Ober-Blöbaum, and Sebastian Peitz. “Explicit Multi-Objective Model Predictive Control for Nonlinear Systems  Under Uncertainty.” International Journal of Robust and Nonlinear Control 30(17) (2020): 7593–7618. https://doi.org/10.1002/rnc.5197.
LibreCat | DOI
 
[23]
2019 | Journal Article | LibreCat-ID: 10593
Peitz, Sebastian, and Stefan Klus. “Koopman Operator-Based Model Reduction for Switched-System Control of PDEs.” Automatica 106 (2019): 184–91. https://doi.org/10.1016/j.automatica.2019.05.016.
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[22]
2019 | Journal Article | LibreCat-ID: 10595
Gebken, Bennet, Sebastian Peitz, and Michael Dellnitz. “On the Hierarchical Structure of Pareto Critical Sets.” Journal of Global Optimization 73, no. 4 (2019): 891–913. https://doi.org/10.1007/s10898-019-00737-6.
LibreCat | DOI
 
[21]
2019 | Conference Paper | LibreCat-ID: 10597
Hanke, Soren, Sebastian Peitz, Oliver Wallscheid, Joachim Böcker, and Michael Dellnitz. “Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification.” In 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2019. https://doi.org/10.1109/precede.2019.8753313.
LibreCat | DOI
 
[20]
2019 | Conference Paper | LibreCat-ID: 29636
Hanke, Sören, Sebastian Peitz, Oliver Wallscheid, Joachim Böcker, and Michael Dellnitz. “Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification.” In 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 1–6, 2019.
LibreCat
 
[19]
2018 | Preprint | LibreCat-ID: 21634 | OA
Hanke, Sören, Sebastian Peitz, Oliver Wallscheid, Stefan Klus, Joachim Böcker, and Michael Dellnitz. “Koopman Operator-Based Finite-Control-Set Model Predictive Control for  Electrical Drives.” ArXiv:1804.00854, 2018.
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[18]
2018 | Book Chapter | LibreCat-ID: 22796
Kummert, Franz, Alexander Albers, Christian Bremer, Sebastian Büttner, Michael Dellnitz, Roman Dumitrescu, Manuel Gräler, et al. “Eingesetzte wissenschaftliche Methoden.” In Ressourceneffiziente Selbstoptimierende Wäscherei – Ergebnisse des ReSerW-Projekts, edited by Ansgar Trächtler. Paderborn: Springer, 2018.
LibreCat
 
[17]
2018 | Conference Paper | LibreCat-ID: 8750
Gebken, Bennet, Sebastian Peitz, and Michael Dellnitz. “A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems.” In Numerical and Evolutionary Optimization – NEO 2017. Cham, 2018. https://doi.org/10.1007/978-3-319-96104-0_2.
LibreCat | DOI
 
[16]
2018 | Journal Article | LibreCat-ID: 8751 | OA
Peitz, Sebastian, and Michael Dellnitz. “A Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction.” Mathematical and Computational Applications 23, no. 2 (2018). https://doi.org/10.3390/mca23020030.
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[15]
2018 | Book Chapter | LibreCat-ID: 8754
Beermann, Dennis, Michael Dellnitz, Sebastian Peitz, and Stefan Volkwein. “Set-Oriented Multiobjective Optimal Control of PDEs Using Proper Orthogonal Decomposition.” In Reduced-Order Modeling (ROM) for Simulation and Optimization, 47–72. Cham, 2018. https://doi.org/10.1007/978-3-319-75319-5_3.
LibreCat | DOI
 
[14]
2018 | Journal Article | LibreCat-ID: 8755
Klus, Stefan, Patrick Gelß, Sebastian Peitz, and Christof Schütte. “Tensor-Based Dynamic Mode Decomposition.” Nonlinearity 31, no. 7 (2018): 3359–80. https://doi.org/10.1088/1361-6544/aabc8f.
LibreCat | DOI
 
[13]
2018 | Conference Paper | LibreCat-ID: 8757
Beermann, Dennis, Michael Dellnitz, Sebastian Peitz, and Stefan Volkwein. “POD-Based Multiobjective Optimal Control of PDEs with Non-Smooth Objectives.” In PAMM, 51–54, 2018. https://doi.org/10.1002/pamm.201710015.
LibreCat | DOI
 
[12]
2018 | Preprint | LibreCat-ID: 16292 | OA
Peitz, Sebastian. “Controlling Nonlinear PDEs Using Low-Dimensional Bilinear Approximations  Obtained from Data.” ArXiv:1801.06419, 2018.
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[11]
2018 | Preprint | LibreCat-ID: 16293 | OA
Klus, Stefan, Sebastian Peitz, and Ingmar Schuster. “Analyzing High-Dimensional Time-Series Data Using Kernel Transfer  Operator Eigenfunctions.” ArXiv:1805.10118, 2018.
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[10]
2018 | Journal Article | LibreCat-ID: 29624
Hanke, Sören, Sebastian Peitz, Oliver Wallscheid, Stefan Klus, Joachim Böcker, and Michael Dellnitz. “Koopman Operator-Based Finite-Control-Set Model Predictive Control for Electrical Drives.” ArXiv Preprint ArXiv:1804.00854, 2018.
LibreCat
 
[9]
2018 | Journal Article | LibreCat-ID: 8753
Peitz, Sebastian, Sina Ober-Blöbaum, and Michael Dellnitz. “Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling.” Acta Applicandae Mathematicae 161, no. 1 (2018): 171–199. https://doi.org/10.1007/s10440-018-0209-7.
LibreCat | DOI
 
[8]
2017 | Conference Paper | LibreCat-ID: 5914
Dellnitz, Michael, Julian Eckstein, Kathrin Flaßkamp, Patrick Friedel, Christian Horenkamp, Ulrich Köhler, Sina Ober-Blöbaum, Sebastian Peitz, and Sebastian Tiemeyer. “Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control.” In Progress in Industrial Mathematics at ECMI 2014 , 633–41. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-23413-7_87.
LibreCat | DOI
 
[7]
2017 | Conference Paper | LibreCat-ID: 8752
Peitz, Sebastian, and Michael Dellnitz. “Gradient-Based Multiobjective Optimization with Uncertainties.” In NEO 2016, 159–82. Cham, 2017. https://doi.org/10.1007/978-3-319-64063-1_7.
LibreCat | DOI
 
[6]
2017 | Dissertation | LibreCat-ID: 10594 | OA
Peitz, Sebastian.   Exploiting Structure in Multiobjective Optimization and Optimal Control, 2017. https://doi.org/10.17619/UNIPB/1-176.
LibreCat | Files available | DOI | Download (ext.)
 
[5]
2017 | Journal Article | LibreCat-ID: 8756
Peitz, Sebastian, Kai Schäfer, Sina Ober-Blöbaum, Julian Eckstein, Ulrich Köhler, and Michael Dellnitz. “A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles.” Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC) 50, no. 1 (2017): 8674–79. https://doi.org/10.1016/j.ifacol.2017.08.1526.
LibreCat | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 8759
Peitz, Sebastian, Manuel Gräler, Christian Henke, Mirko Hessel-von Molo, Michael Dellnitz, and Ansgar Trächtler. “Multiobjective Model Predictive Control of an Industrial Laundry.” In Procedia Technology, 483–90, 2016. https://doi.org/10.1016/j.protcy.2016.08.061.
LibreCat | DOI
 
[3]
2016 | Conference Paper | LibreCat-ID: 8758
Eckstein, Julian, Sebastian Peitz, Kai Schäfer, Patrick Friedel, Ulrich Köhler, Mirko Hessel von Molo, Sina Ober-Blöbaum, and Michael Dellnitz. “A Comparison of Two Predictive Approaches to Control the Longitudinal Dynamics of Electric Vehicles.” In Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, 26:465–72, 2016. https://doi.org/10.1016/j.protcy.2016.08.059.
LibreCat | DOI
 
[2]
2016 | Conference Paper | LibreCat-ID: 29433
Peitz, Sebastian, Sina Ober-Blöbaum, and M. Dellnitz. “Reduced Order Model Based Multiobjective Optimal Control of Fluids.” In Proceedings of International Congress of Theoretical and Applied Mechanics, 2016.
LibreCat
 
[1]
2015 | Conference Paper | LibreCat-ID: 8760
Peitz, Sebastian, and Michael Dellnitz. “Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction.” In PAMM, 613–14, 2015. https://doi.org/10.1002/pamm.201510296.
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[90]
2026 | Journal Article | LibreCat-ID: 51160 | OA
Philipp, Friedrich M., Manuel Schaller, Septimus Boshoff, Sebastian Peitz, Feliks Nüske, and Karl Worthmann. “Variance Representations and Convergence Rates for Data-Driven Approximations of Koopman Operators.” Physica D: Nonlinear Phenomena 492 (2026). https://doi.org/10.1016/j.physd.2026.135223.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[89]
2026 | Journal Article | LibreCat-ID: 53858 | OA
Akhter, Junaid, Paul David Fährmann, Konstantin Sonntag, and Sebastian Peitz. “Common Pitfalls to Avoid While Using Multiobjective Optimization in Machine Learning.” SIAM Review 68, no. 3 (2026): 656–83. https://doi.org/10.1137/24M1658875.
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[88]
2026 | Conference Paper | LibreCat-ID: 67308
Amakor, Augustina Chidinma, Manuel B. Berkemeier, Meike Claudia Wohlleben, Walter Sextro, and Sebastian Peitz. “Surrogate-Assisted Multi-Objective Design of Complex Multibody Systems.” In Artificial Neural Networks and Machine Learning – ICANN 2025, edited by Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor Jirsa, and Yoshua Bengio, 251–262. Cham: Springer Nature Switzerland, 2026. https://doi.org/10.1007/978-3-032-04555-3_21.
LibreCat | DOI
 
[87]
2026 | Conference Paper | LibreCat-ID: 67307 | OA
Hotegni, Sedjro Salomon, and Sebastian Peitz. “SPREAD: Sampling-Based Pareto Front Refinement via Efficient Adaptive Diffusion.” In 14th International Conference on Learning Representations (ICLR), 2026. https://doi.org/10.48550/arXiv.2509.21058.
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[86]
2026 | Preprint | LibreCat-ID: 67306 | OA
Stenner, Jan, Hans Harder, and Sebastian Peitz. “Sparse Sensor Placement in Multi-Agent Reinforcement Learning Control of Rayleigh-Bénard Convection.” ArXiv:2606.30238, 2026.
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[85]
2026 | Preprint | LibreCat-ID: 67309
Stenner, Jan, Alexander Kilian, Sebastian Peitz, and Hermann de Meer. “Toward an Energy-Optimized Operation of Data Centers Located in Wind Farms Using Reinforcement Learning.” ArXiv:2606.30316, 2026.
LibreCat
 
[84]
2026 | Conference Paper | LibreCat-ID: 67300
Hotegni, Sedjro Salomon, and Sebastian Peitz. “Enhancing Adversarial Robustness Through Multi-Objective Representation Learning.” In Artificial Neural Networks and Machine Learning – ICANN 2025, edited by Walter Senn, Marcello Sanguineti, Ausra Saudargiene, Igor V. Tetko, Alessandro E. P. Villa, Viktor Jirsa, and Yoshua Bengio, 442–454. Cham: Springer Nature Switzerland, 2026. https://doi.org/10.1007/978-3-032-04558-4_35.
LibreCat | DOI
 
[83]
2026 | Journal Article | LibreCat-ID: 67302
Markmann, Thorben, Michiel Straat, Sebastian Peitz, and Barbara Hammer. “Fourier Neural Operators as Data-Driven Surrogates for Two- and Three-Dimensional Rayleigh–Bénard Convection.” Neurocomputing 679 (2026): 133201. https://doi.org/10.1016/j.neucom.2026.133201.
LibreCat | DOI
 
[82]
2026 | Conference Paper | LibreCat-ID: 67299 | OA
Harder, Hans, Abhijeet Vishwasrao, Luca Guastoni, Ricardo Vinuesa, and Sebastian Peitz. “Efficient Probabilistic Surrogate Modeling Techniques for Partially-Observed Large-Scale Dynamical Systems.” In Proceedings of The 8th Annual Learning for Dynamics and Control Conference, edited by Gaurav Sukhatme, Lars Lindemann, Stephen Tu, Adam Wierman, and Nikolay Atanasov, 331:1601–1619. Proceedings of Machine Learning Research. PMLR, 2026. https://doi.org/10.48550/arXiv.2511.04641.
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[81]
2026 | Conference Paper | LibreCat-ID: 67303 | OA
Amakor, Augustina Chidinma, Konstantin Sonntag, and Sebastian Peitz. “Interactive Pareto Navigation for Deep Multi-Task Learning.” In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 652–68, 2026. https://doi.org/10.1007/978-3-032-37667-1_37.
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[80]
2026 | Conference Paper | LibreCat-ID: 67305 | OA
Becktepe, Jannis, Aleksandra Franz, Nils Thuerey, and Sebastian Peitz. “Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control.” In International Conference on Machine Learning (ICML), 2026. https://doi.org/10.48550/arXiv.2601.15015.
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[79]
2026 | Journal Article | LibreCat-ID: 67301
Wohlleben, Meike Claudia, Jan Schütte, Manuel Berkemeier, Walter Sextro, and Sebastian Peitz. “Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings.” Multibody System Dynamics, 2026. https://doi.org/10.1007/s11044-026-10146-9.
LibreCat | DOI
 
[78]
2026 | Preprint | LibreCat-ID: 67298 | OA
Mugisho Zagabe, Christian, and Sebastian Peitz. “Automatic Feature Identification in Least-Squares Policy Iteration Using the Koopman Operator Framework.” ArXiv:2603.26464, 2026.
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[77]
2026 | Preprint | LibreCat-ID: 67304 | OA
Plotzki, Tim, and Sebastian Peitz. “Koopman-Based Surrogate Modeling for Reinforcement-Learning-Control of Rayleigh-Benard Convection.” ArXiv:2603.28074, 2026.
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[76]
2025 | Journal Article | LibreCat-ID: 51159
Amakor, Augustina Chidinma, Konstantin Sonntag, and Sebastian Peitz. “A Multiobjective Continuation Method to Compute the Regularization Path of Deep Neural Networks.” Machine Learning with Applications 19 (2025). https://doi.org/10.1016/j.mlwa.2025.100625.
LibreCat | Files available | DOI
 
[75]
2025 | Journal Article | LibreCat-ID: 46579 | OA
Peitz, Sebastian, Hans Harder, Feliks Nüske, Friedrich Philipp, Manuel Schaller, and Karl Worthmann. “Equivariance and Partial Observations in Koopman Operator Theory for Partial Differential Equations.” Journal of Computational Dynamics 12 (2025): 305–24. https://doi.org/10.3934/jcd.2024035.
LibreCat | DOI | Download (ext.) | arXiv
 
[74]
2025 | Conference Paper | LibreCat-ID: 53793 | OA
Harder, Hans, and Sebastian Peitz. “Solving Partial Differential Equations with Equivariant Extreme Learning Machines.” In Systems Theory in Data and Optimization, edited by J. Berberich, A. Ianelli, and F. Allgöwer, 153–68. Cham: Springer, 2025. https://doi.org/10.1007/978-3-031-83191-1_10.
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[73]
2025 | Conference Paper | LibreCat-ID: 67313
Voth, Diana, Leonidas Dane, Jonas Grebe, Sebastian Peitz, and Philipp Terhörst. “Effective Backdoor Learning on Open-Set Face Recognition Systems.” In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 1027–39, 2025. https://doi.org/10.1109/WACV61041.2025.00109.
LibreCat | DOI
 
[72]
2025 | Preprint | LibreCat-ID: 67312
Markmann, Thorben, Michiel Straat, Sebastian Peitz, and Barbara Hammer. “Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime.” ArXiv:2504.12000, 2025.
LibreCat
 
[71]
2025 | Preprint | LibreCat-ID: 67310
Boshoff, Septimus, Sebastian Peitz, and Stefan Klus. “Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces.” ArXiv:2509.22482, 2025.
LibreCat
 
[70]
2025 | Journal Article | LibreCat-ID: 57829
Payrebrune, Kristin M. de, Kathrin Flaßkamp, Tom Ströhla, Thomas Sattel, Dieter Bestle, Benedict Röder, Peter Eberhard, et al. “The Impact of AI on Engineering Design Procedures for Dynamical Systems.” Technische Mechanik - European Journal of Engineering Mechanics 45, no. 1 (2025): 1–23. https://doi.org/10.24352/UB.OVGU-2025-037.
LibreCat | DOI
 
[69]
2025 | Journal Article | LibreCat-ID: 51158 | OA
Philipp, Friedrich, Manuel Schaller, Karl Worthmann, Sebastian Peitz, and Feliks Nüske. “Error Analysis of Kernel EDMD for Prediction and Control in the Koopman  Framework.” Ournal of Nonlinear Science 35 (2025). https://doi.org/10.1007/s00332-025-10182-3.
LibreCat | DOI | Download (ext.) | arXiv
 
[68]
2025 | Journal Article | LibreCat-ID: 67319
Payrebrune, K. M. de, K. Flaßkamp, T. Ströhla, T. Sattel, D. Bestle, B. Röder, P. Eberhard, et al. “The Impact of AI on Engineering Design Procedures for Dynamical Systems.” Technische Mechanik - European Journal of Engineering Mechanics 45, no. 1 (2025): 1–23. https://doi.org/10.24352/UB.OVGU-2025-037.
LibreCat | DOI
 
[67]
2025 | Journal Article | LibreCat-ID: 67317
Berkemeier, Manuel, and Sebastian Peitz. “Multi-Objective Trust-Region Filter Method for Nonlinear Constraints Using Inexact Gradients.” Open Journal of Mathematical Optimization 6 (2025): 1–36. https://doi.org/10.5802/ojmo.47.
LibreCat | DOI
 
[66]
2025 | Journal Article | LibreCat-ID: 67314
Harder, Hans, Sebastian Peitz, Feliks Nüske, Friedrich Philipp, Manuel Schaller, and Karl Worthmann. “Group Convolutional Extended Dynamic Mode Decomposition.” Physica D: Nonlinear Phenomena 480 (2025): 134725. https://doi.org/10.1016/j.physd.2025.134725.
LibreCat | DOI
 
[65]
2025 | Journal Article | LibreCat-ID: 67316
Peitz, Sebastian, and Sedjro Salomon Hotegni. “Multi-Objective Deep Learning: Taxonomy and Survey of the State of the Art.” Machine Learning with Applications, no. 100700 (2025). https://doi.org/10.1016/j.mlwa.2025.100700.
LibreCat | DOI
 
[64]
2025 | Preprint | LibreCat-ID: 67315
Straat, Michiel, Thorben Markmann, Sebastian Peitz, and Barbara Hammer. “Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning.” ArXiv:2511.00272, 2025.
LibreCat
 
[63]
2025 | Preprint | LibreCat-ID: 67318
Fromme, Fynn, Christine Allen-Blanchette, Hans Harder, and Sebastian Peitz. “Surrogate Modeling of 3D Rayleigh-Bénard Convection with Equivariant Autoencoders.” ArXiv:2505.13569, 2025.
LibreCat
 
[62]
2024 | Journal Article | LibreCat-ID: 46019 | OA
Sonntag, Konstantin, and Sebastian Peitz. “Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems.” Journal of Optimization Theory and Applications, 2024. https://doi.org/10.1007/s10957-024-02389-3.
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[61]
2024 | Journal Article | LibreCat-ID: 40171 | OA
Peitz, Sebastian, Jan Stenner, Vikas Chidananda, Oliver Wallscheid, Steven L. Brunton, and Kunihiko Taira. “Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning.” Physica D: Nonlinear Phenomena 461 (2024): 134096. https://doi.org/10.1016/j.physd.2024.134096.
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[60]
2024 | Journal Article | LibreCat-ID: 33461 | OA
Otto, Samuel E., Sebastian Peitz, and Clarence W. Rowley. “Learning Bilinear Models of Actuated Koopman Generators from  Partially-Observed Trajectories.” SIAM Journal on Applied Dynamical Systems 23, no. 1 (2024): 885–923. https://doi.org/10.1137/22M1523601.
LibreCat | DOI | Download (ext.) | arXiv
 
[59]
2024 | Journal Article | LibreCat-ID: 38031 | OA
Philipp, Friedrich, Manuel Schaller, Karl Worthmann, Sebastian Peitz, and Feliks Nüske. “Error Bounds for Kernel-Based Approximations of the Koopman Operator.” Applied and Computational Harmonic Analysis 71 (2024). https://doi.org/10.1016/j.acha.2024.101657.
LibreCat | DOI | Download (ext.) | arXiv
 
[58]
2024 | Journal Article | LibreCat-ID: 32447
Sonntag, Konstantin, and Sebastian Peitz. “Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping.” SIAM Journal on Optimization 34, no. 3 (2024): 2259–86. https://doi.org/10.1137/23M1588512.
LibreCat | DOI
 
[57]
2024 | Conference Paper | LibreCat-ID: 46649 | OA
Hotegni, Sedjro Salomon, Manuel Bastian Berkemeier, and Sebastian Peitz. “Multi-Objective Optimization for Sparse Deep Multi-Task Learning.” In 2024 International Joint Conference on Neural Networks (IJCNN), 9. Yokohama, Japan: IEEE, 2024. https://doi.org/10.1109/IJCNN60899.2024.10650994.
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[56]
2024 | Journal Article | LibreCat-ID: 51334 | OA
Sonntag, Konstantin, Bennet Gebken, Georg Müller, Sebastian Peitz, and Stefan Volkwein. “A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces.” Journal of Optimization Theory and Applications 203 (2024): 455–87. https://doi.org/10.1007/s10957-024-02520-4.
LibreCat | DOI | Download (ext.) | arXiv
 
[55]
2024 | Conference Paper | LibreCat-ID: 62913
Hunstig, Anna, Sebastian Peitz, Hendrik Rose, and Torsten Meier. “Accelerating the Analysis of Optical Quantum Systems Using the Koopman Operator.” In IEEE 63rd Conference on Decision and Control (CDC). IEEE, 2024. https://doi.org/10.1109/cdc56724.2024.10886589.
LibreCat | DOI
 
[54]
2024 | Conference Paper | LibreCat-ID: 52758
Harder, Hans, and Sebastian Peitz. “On the Continuity and Smoothness of the Value Function in Reinforcement Learning and Optimal Control.” In IEEE 63rd Conference on Decision and Control (CDC), 1935–40. IEEE, 2024. https://doi.org/10.1109/CDC56724.2024.10886529.
LibreCat | DOI
 
[53]
2024 | Book Chapter | LibreCat-ID: 46578 | OA
Bernreuther, Marco, Michael Dellnitz, Bennet Gebken, Georg Müller, Sebastian Peitz, Konstantin Sonntag, and Stefan Volkwein. “Multiobjective Optimization of Non-Smooth PDE-Constrained Problems.” In DFG Priority Programme 1962. Birkhäuser, 2024.
LibreCat | Download (ext.) | arXiv
 
[52]
2024 | Conference Paper | LibreCat-ID: 42160 | OA
Werner, Stefan, and Sebastian Peitz. “Numerical Evidence for Sample Efficiency of Model-Based over Model-Free Reinforcement Learning Control of Partial Differential Equations.” In European Control Conference (ECC), 2958–64. IEEE, 2024. https://doi.org/10.23919/ECC64448.2024.10590945.
LibreCat | DOI | Download (ext.) | arXiv
 
[51]
2024 | Conference Paper | LibreCat-ID: 48502 | OA
Peitz, Sebastian, Anna Hunstig, Hendrik Rose, and Torsten Meier. “Accelerating the Analysis of Optical Quantum Systems Using the Koopman Operator.” In IEEE 63rd Conference on Decision and Control (CDC), 7964–69, 2024. https://doi.org/10.1109/CDC56724.2024.10886589.
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[50]
2024 | Preprint | LibreCat-ID: 67320
Berkemeier, Manuel, Konstantin Sonntag, and Sebastian Peitz. “New Nonlinear Conjugate Gradient Methods with Guaranteed Descent for Multi-Objective Optimization.” Optimizaton Online, 2024.
LibreCat
 
[49]
2023 | Journal Article | LibreCat-ID: 21199 | OA
Peitz, Sebastian, and Katharina Bieker. “On the Universal Transformation of Data-Driven Models to Control Systems.” Automatica 149 (2023). https://doi.org/10.1016/j.automatica.2022.110840.
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[48]
2023 | Conference Paper | LibreCat-ID: 54838
Boshoff, Septimus, Jan Stenner, Daniel Weber, Marvin Meyer, Vikas Chidananda, Sebastian Peitz, and Oliver Wallscheid. “Hybrid Control of Interconnected Power Converters Using Both Expert-Driven Droop and Data-Driven Reinforcement Learning Approaches.” In IEEE Power and Energy Student Summit (PESS), 124–29. VDE, 2023.
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[47]
2023 | Conference Paper | LibreCat-ID: 54839
Meyer, Marvin, Daniel Weber, Vikas Chidananda, Oliver Schweins, Jan Stenner, Septimus Boshoff, Sebastian Peitz, and Oliver Wallscheid. “ElectricGrid.Jl – Automated Modeling of Decentralized Electrical Energy Grids.” In IEEE Power and Energy Student Summit (PESS), 112–17. VDE, 2023.
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[46]
2023 | Journal Article | LibreCat-ID: 27426 | OA
Gebken, Bennet, Katharina Bieker, and Sebastian Peitz. “On the Structure of Regularization Paths for Piecewise Differentiable Regularization Terms.” Journal of Global Optimization 85, no. 3 (2023): 709–41. https://doi.org/10.1007/s10898-022-01223-2.
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[45]
2023 | Conference Paper | LibreCat-ID: 30125 | OA
Schaller, Manuel, Karl Worthmann, Friedrich Philipp, Sebastian Peitz, and Feliks Nüske. “Towards Reliable Data-Based Optimal and Predictive Control Using Extended DMD.” In IFAC-PapersOnLine, 56:169–74, 2023. https://doi.org/10.1016/j.ifacol.2023.02.029.
LibreCat | DOI | Download (ext.) | arXiv
 
[44]
2023 | Journal Article | LibreCat-ID: 23428 | OA
Nüske, Feliks, Sebastian Peitz, Friedrich Philipp, Manuel Schaller, and Karl Worthmann. “Finite-Data Error Bounds for Koopman-Based Prediction and Control.” Journal of Nonlinear Science 33 (2023). https://doi.org/10.1007/s00332-022-09862-1.
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[43]
2023 | Journal Article | LibreCat-ID: 21600
Dellnitz, Michael, Eyke Hüllermeier, Marvin Lücke, Sina Ober-Blöbaum, Christian Offen, Sebastian Peitz, and Karlson Pfannschmidt. “Efficient Time Stepping for Numerical Integration Using Reinforcement  Learning.” SIAM Journal on Scientific Computing 45, no. 2 (2023): A579–95. https://doi.org/10.1137/21M1412682.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[42]
2023 | Journal Article | LibreCat-ID: 46784 | OA
Wallscheid, Oliver, Sebastian Peitz, Jan Stenner, Daniel Weber, Septimus Boshoff, Marvin Meyer, Vikas Chidananda, and Oliver Schweins. “ElectricGrid.Jl - A Julia-Based Modeling and Simulationtool for Power Electronics-Driven Electric Energy Grids.” Journal of Open Source Software 8, no. 89 (2023). https://doi.org/10.21105/joss.05616.
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[41]
2023 | Conference Paper | LibreCat-ID: 46813 | OA
Wohlleben, Meike Claudia, Lars Muth, Sebastian Peitz, and Walter Sextro. “Transferability of a Discrepancy Model for the Dynamics of Electromagnetic Oscillating Circuits.” In Proceedings in Applied Mathematics and Mechanics. Wiley, 2023. https://doi.org/10.1002/pamm.202300039.
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[40]
2022 | Book Chapter | LibreCat-ID: 16296 | OA
Banholzer, Stefan, Bennet Gebken, Michael Dellnitz, Sebastian Peitz, and Stefan Volkwein. “ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation.” In Non-Smooth and Complementarity-Based Distributed Parameter Systems, edited by Hintermüller Michael, Herzog Roland, Kanzow Christian, Ulbrich Michael, and Ulbrich Stefan, 43–76. Cham: Springer, 2022. https://doi.org/10.1007/978-3-030-79393-7_3.
LibreCat | DOI | Download (ext.)
 
[39]
2022 | Book Chapter | LibreCat-ID: 30294
Peitz, Sebastian, Michael Dellnitz, and Sebastian Bannenberg. “Efficient Virtual Design and Testing of Autonomous Vehicles.” In German Success Stories in Industrial Mathematics, edited by H. G. Bock, K.-H. Küfer, P. Maas, A. Milde, and V. Schulz, Vol. 35. Mathematics in Industry. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-81455-7_23.
LibreCat | DOI
 
[38]
2022 | Journal Article | LibreCat-ID: 29673 | OA
Klus, Stefan, Feliks Nüske, and Sebastian Peitz. “Koopman Analysis of Quantum Systems.” Journal of Physics A: Mathematical and Theoretical 55, no. 31 (2022): 314002. https://doi.org/10.1088/1751-8121/ac7d22.
LibreCat | DOI | Download (ext.) | arXiv
 
[37]
2022 | Preprint | LibreCat-ID: 33150 | OA
Berkemeier, Manuel Bastian, and Sebastian Peitz. “Multi-Objective Trust-Region Filter Method for Nonlinear Constraints Using Inexact Gradients.” ArXiv:2208.12094, 2022.
LibreCat | Download (ext.) | arXiv
 
[36]
2022 | Journal Article | LibreCat-ID: 20731 | OA
Bieker, Katharina, Bennet Gebken, and Sebastian Peitz. “On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation.” IEEE Transactions on Pattern Analysis and Machine Intelligence 44, no. 11 (2022): 7797–7808. https://doi.org/10.1109/TPAMI.2021.3114962.
LibreCat | Files available | DOI | Download (ext.)
 
[35]
2022 | Book Chapter | LibreCat-ID: 29727
Wohlleben, Meike Claudia, Amelie Bender, Sebastian Peitz, and Walter Sextro. “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction.” In Machine Learning, Optimization, and Data Science. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-95470-3_8.
LibreCat | DOI | Download (ext.)
 
[34]
2021 | Journal Article | LibreCat-ID: 21337 | OA
Berkemeier, Manuel Bastian, and Sebastian Peitz. “Derivative-Free Multiobjective Trust Region Descent Method Using Radial  Basis Function Surrogate Models.” Mathematical and Computational Applications 26, no. 2 (2021). https://doi.org/10.3390/mca26020031.
LibreCat | DOI | Download (ext.)
 
[33]
2021 | Journal Article | LibreCat-ID: 16867 | OA
Gebken, Bennet, and Sebastian Peitz. “An Efficient Descent Method for Locally Lipschitz Multiobjective Optimization Problems.” Journal of Optimization Theory and Applications 188 (2021): 696–723. https://doi.org/10.1007/s10957-020-01803-w.
LibreCat | DOI | Download (ext.)
 
[32]
2021 | Journal Article | LibreCat-ID: 16295 | OA
Gebken, Bennet, and Sebastian Peitz. “Inverse Multiobjective Optimization: Inferring Decision Criteria from Data.” Journal of Global Optimization 80 (2021): 3–29. https://doi.org/10.1007/s10898-020-00983-z.
LibreCat | DOI | Download (ext.)
 
[31]
2021 | Journal Article | LibreCat-ID: 16294 | OA
Ober-Blöbaum, Sina, and Sebastian Peitz. “Explicit Multiobjective Model Predictive Control for Nonlinear Systems  with Symmetries.” International Journal of Robust and Nonlinear Control 31(2) (2021): 380–403. https://doi.org/10.1002/rnc.5281.
LibreCat | DOI | Download (ext.)
 
[30]
2020 | Book Chapter | LibreCat-ID: 17411
Flaßkamp, Kathrin, Sina Ober-Blöbaum, and Sebastian Peitz. “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach.” In Advances in Dynamics, Optimization and Computation, edited by Oliver Junge, Oliver Schütze, Gary Froyland, Sina Ober-Blöbaum, and Kathrin Padberg-Gehle. Cham: Springer, 2020. https://doi.org/10.1007/978-3-030-51264-4_9.
LibreCat | DOI
 
[29]
2020 | Journal Article | LibreCat-ID: 10596
Schütze, Oliver, Oliver Cuate, Adanay Martín, Sebastian Peitz, and Michael Dellnitz. “Pareto Explorer: A Global/Local Exploration Tool for Many-Objective Optimization Problems.” Engineering Optimization 52, no. 5 (2020): 832–55. https://doi.org/10.1080/0305215x.2019.1617286.
LibreCat | DOI
 
[28]
2020 | Journal Article | LibreCat-ID: 16288
Klus, Stefan, Feliks Nüske, Sebastian Peitz, Jan-Hendrik Niemann, Cecilia Clementi, and Christof Schütte. “Data-Driven Approximation of the Koopman Generator: Model Reduction, System Identification, and Control.” Physica D: Nonlinear Phenomena 406 (2020). https://doi.org/10.1016/j.physd.2020.132416.
LibreCat | DOI
 
[27]
2020 | Book Chapter | LibreCat-ID: 16289
Peitz, Sebastian, and Stefan Klus. “Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator.” In Lecture Notes in Control and Information Sciences, 484:257–82. Lecture Notes in Control and Information Sciences. Cham: Springer, 2020. https://doi.org/10.1007/978-3-030-35713-9_10.
LibreCat | DOI
 
[26]
2020 | Journal Article | LibreCat-ID: 16290 | OA
Bieker, Katharina, Sebastian Peitz, Steven L. Brunton, J. Nathan Kutz, and Michael Dellnitz. “Deep Model Predictive Flow Control with Limited Sensor Data and Online Learning.” Theoretical and Computational Fluid Dynamics 34 (2020): 577–591. https://doi.org/10.1007/s00162-020-00520-4.
LibreCat | DOI | Download (ext.)
 
[25]
2020 | Journal Article | LibreCat-ID: 16309
Peitz, Sebastian, Samuel E. Otto, and Clarence W. Rowley. “Data-Driven Model Predictive Control Using Interpolated Koopman  Generators.” SIAM Journal on Applied Dynamical Systems 19, no. 3 (2020): 2162–93. https://doi.org/10.1137/20M1325678.
LibreCat | DOI | Download (ext.)
 
[24]
2020 | Journal Article | LibreCat-ID: 16297
Hernández Castellanos, Carlos Ignacio, Sina Ober-Blöbaum, and Sebastian Peitz. “Explicit Multi-Objective Model Predictive Control for Nonlinear Systems  Under Uncertainty.” International Journal of Robust and Nonlinear Control 30(17) (2020): 7593–7618. https://doi.org/10.1002/rnc.5197.
LibreCat | DOI
 
[23]
2019 | Journal Article | LibreCat-ID: 10593
Peitz, Sebastian, and Stefan Klus. “Koopman Operator-Based Model Reduction for Switched-System Control of PDEs.” Automatica 106 (2019): 184–91. https://doi.org/10.1016/j.automatica.2019.05.016.
LibreCat | DOI
 
[22]
2019 | Journal Article | LibreCat-ID: 10595
Gebken, Bennet, Sebastian Peitz, and Michael Dellnitz. “On the Hierarchical Structure of Pareto Critical Sets.” Journal of Global Optimization 73, no. 4 (2019): 891–913. https://doi.org/10.1007/s10898-019-00737-6.
LibreCat | DOI
 
[21]
2019 | Conference Paper | LibreCat-ID: 10597
Hanke, Soren, Sebastian Peitz, Oliver Wallscheid, Joachim Böcker, and Michael Dellnitz. “Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification.” In 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2019. https://doi.org/10.1109/precede.2019.8753313.
LibreCat | DOI
 
[20]
2019 | Conference Paper | LibreCat-ID: 29636
Hanke, Sören, Sebastian Peitz, Oliver Wallscheid, Joachim Böcker, and Michael Dellnitz. “Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification.” In 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 1–6, 2019.
LibreCat
 
[19]
2018 | Preprint | LibreCat-ID: 21634 | OA
Hanke, Sören, Sebastian Peitz, Oliver Wallscheid, Stefan Klus, Joachim Böcker, and Michael Dellnitz. “Koopman Operator-Based Finite-Control-Set Model Predictive Control for  Electrical Drives.” ArXiv:1804.00854, 2018.
LibreCat | Download (ext.)
 
[18]
2018 | Book Chapter | LibreCat-ID: 22796
Kummert, Franz, Alexander Albers, Christian Bremer, Sebastian Büttner, Michael Dellnitz, Roman Dumitrescu, Manuel Gräler, et al. “Eingesetzte wissenschaftliche Methoden.” In Ressourceneffiziente Selbstoptimierende Wäscherei – Ergebnisse des ReSerW-Projekts, edited by Ansgar Trächtler. Paderborn: Springer, 2018.
LibreCat
 
[17]
2018 | Conference Paper | LibreCat-ID: 8750
Gebken, Bennet, Sebastian Peitz, and Michael Dellnitz. “A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems.” In Numerical and Evolutionary Optimization – NEO 2017. Cham, 2018. https://doi.org/10.1007/978-3-319-96104-0_2.
LibreCat | DOI
 
[16]
2018 | Journal Article | LibreCat-ID: 8751 | OA
Peitz, Sebastian, and Michael Dellnitz. “A Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction.” Mathematical and Computational Applications 23, no. 2 (2018). https://doi.org/10.3390/mca23020030.
LibreCat | DOI | Download (ext.)
 
[15]
2018 | Book Chapter | LibreCat-ID: 8754
Beermann, Dennis, Michael Dellnitz, Sebastian Peitz, and Stefan Volkwein. “Set-Oriented Multiobjective Optimal Control of PDEs Using Proper Orthogonal Decomposition.” In Reduced-Order Modeling (ROM) for Simulation and Optimization, 47–72. Cham, 2018. https://doi.org/10.1007/978-3-319-75319-5_3.
LibreCat | DOI
 
[14]
2018 | Journal Article | LibreCat-ID: 8755
Klus, Stefan, Patrick Gelß, Sebastian Peitz, and Christof Schütte. “Tensor-Based Dynamic Mode Decomposition.” Nonlinearity 31, no. 7 (2018): 3359–80. https://doi.org/10.1088/1361-6544/aabc8f.
LibreCat | DOI
 
[13]
2018 | Conference Paper | LibreCat-ID: 8757
Beermann, Dennis, Michael Dellnitz, Sebastian Peitz, and Stefan Volkwein. “POD-Based Multiobjective Optimal Control of PDEs with Non-Smooth Objectives.” In PAMM, 51–54, 2018. https://doi.org/10.1002/pamm.201710015.
LibreCat | DOI
 
[12]
2018 | Preprint | LibreCat-ID: 16292 | OA
Peitz, Sebastian. “Controlling Nonlinear PDEs Using Low-Dimensional Bilinear Approximations  Obtained from Data.” ArXiv:1801.06419, 2018.
LibreCat | Download (ext.)
 
[11]
2018 | Preprint | LibreCat-ID: 16293 | OA
Klus, Stefan, Sebastian Peitz, and Ingmar Schuster. “Analyzing High-Dimensional Time-Series Data Using Kernel Transfer  Operator Eigenfunctions.” ArXiv:1805.10118, 2018.
LibreCat | Download (ext.)
 
[10]
2018 | Journal Article | LibreCat-ID: 29624
Hanke, Sören, Sebastian Peitz, Oliver Wallscheid, Stefan Klus, Joachim Böcker, and Michael Dellnitz. “Koopman Operator-Based Finite-Control-Set Model Predictive Control for Electrical Drives.” ArXiv Preprint ArXiv:1804.00854, 2018.
LibreCat
 
[9]
2018 | Journal Article | LibreCat-ID: 8753
Peitz, Sebastian, Sina Ober-Blöbaum, and Michael Dellnitz. “Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling.” Acta Applicandae Mathematicae 161, no. 1 (2018): 171–199. https://doi.org/10.1007/s10440-018-0209-7.
LibreCat | DOI
 
[8]
2017 | Conference Paper | LibreCat-ID: 5914
Dellnitz, Michael, Julian Eckstein, Kathrin Flaßkamp, Patrick Friedel, Christian Horenkamp, Ulrich Köhler, Sina Ober-Blöbaum, Sebastian Peitz, and Sebastian Tiemeyer. “Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control.” In Progress in Industrial Mathematics at ECMI 2014 , 633–41. Cham: Springer International Publishing, 2017. https://doi.org/10.1007/978-3-319-23413-7_87.
LibreCat | DOI
 
[7]
2017 | Conference Paper | LibreCat-ID: 8752
Peitz, Sebastian, and Michael Dellnitz. “Gradient-Based Multiobjective Optimization with Uncertainties.” In NEO 2016, 159–82. Cham, 2017. https://doi.org/10.1007/978-3-319-64063-1_7.
LibreCat | DOI
 
[6]
2017 | Dissertation | LibreCat-ID: 10594 | OA
Peitz, Sebastian.   Exploiting Structure in Multiobjective Optimization and Optimal Control, 2017. https://doi.org/10.17619/UNIPB/1-176.
LibreCat | Files available | DOI | Download (ext.)
 
[5]
2017 | Journal Article | LibreCat-ID: 8756
Peitz, Sebastian, Kai Schäfer, Sina Ober-Blöbaum, Julian Eckstein, Ulrich Köhler, and Michael Dellnitz. “A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles.” Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC) 50, no. 1 (2017): 8674–79. https://doi.org/10.1016/j.ifacol.2017.08.1526.
LibreCat | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 8759
Peitz, Sebastian, Manuel Gräler, Christian Henke, Mirko Hessel-von Molo, Michael Dellnitz, and Ansgar Trächtler. “Multiobjective Model Predictive Control of an Industrial Laundry.” In Procedia Technology, 483–90, 2016. https://doi.org/10.1016/j.protcy.2016.08.061.
LibreCat | DOI
 
[3]
2016 | Conference Paper | LibreCat-ID: 8758
Eckstein, Julian, Sebastian Peitz, Kai Schäfer, Patrick Friedel, Ulrich Köhler, Mirko Hessel von Molo, Sina Ober-Blöbaum, and Michael Dellnitz. “A Comparison of Two Predictive Approaches to Control the Longitudinal Dynamics of Electric Vehicles.” In Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, 26:465–72, 2016. https://doi.org/10.1016/j.protcy.2016.08.059.
LibreCat | DOI
 
[2]
2016 | Conference Paper | LibreCat-ID: 29433
Peitz, Sebastian, Sina Ober-Blöbaum, and M. Dellnitz. “Reduced Order Model Based Multiobjective Optimal Control of Fluids.” In Proceedings of International Congress of Theoretical and Applied Mechanics, 2016.
LibreCat
 
[1]
2015 | Conference Paper | LibreCat-ID: 8760
Peitz, Sebastian, and Michael Dellnitz. “Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction.” In PAMM, 613–14, 2015. https://doi.org/10.1002/pamm.201510296.
LibreCat | DOI
 
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