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., et al. “Variance Representations and Convergence Rates for Data-Driven Approximations of Koopman Operators.” Physica D: Nonlinear Phenomena, vol. 492, 135223, 2026, doi:10.1016/j.physd.2026.135223.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[89]
2026 | Journal Article | LibreCat-ID: 53858 | OA
Akhter, Junaid, et al. “Common Pitfalls to Avoid While Using Multiobjective Optimization in Machine Learning.” SIAM Review, vol. 68, no. 3, SIAM, 2026, pp. 656–83, doi:10.1137/24M1658875.
LibreCat | DOI | Download (ext.)
 
[88]
2026 | Conference Paper | LibreCat-ID: 67308
Amakor, Augustina Chidinma, et al. “Surrogate-Assisted Multi-Objective Design of Complex Multibody Systems.” Artificial Neural Networks and Machine Learning – ICANN 2025, edited by Walter Senn et al., Springer Nature Switzerland, 2026, pp. 251–262, doi: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.” 14th International Conference on Learning Representations (ICLR), 2026, doi:10.48550/arXiv.2509.21058.
LibreCat | DOI | Download (ext.)
 
[86]
2026 | Preprint | LibreCat-ID: 67306 | OA
Stenner, Jan, et al. “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, et al. “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.” Artificial Neural Networks and Machine Learning – ICANN 2025, edited by Walter Senn et al., Springer Nature Switzerland, 2026, pp. 442–454, doi:10.1007/978-3-032-04558-4_35.
LibreCat | DOI
 
[83]
2026 | Journal Article | LibreCat-ID: 67302
Markmann, Thorben, et al. “Fourier Neural Operators as Data-Driven Surrogates for Two- and Three-Dimensional Rayleigh–Bénard Convection.” Neurocomputing, vol. 679, 2026, p. 133201, doi:10.1016/j.neucom.2026.133201.
LibreCat | DOI
 
[82]
2026 | Conference Paper | LibreCat-ID: 67299 | OA
Harder, Hans, et al. “Efficient Probabilistic Surrogate Modeling Techniques for Partially-Observed Large-Scale Dynamical Systems.” Proceedings of The 8th Annual Learning for Dynamics and Control Conference, edited by Gaurav Sukhatme et al., vol. 331, PMLR, 2026, pp. 1601–1619, doi:10.48550/arXiv.2511.04641.
LibreCat | DOI | Download (ext.)
 
[81]
2026 | Conference Paper | LibreCat-ID: 67303 | OA
Amakor, Augustina Chidinma, et al. “Interactive Pareto Navigation for Deep Multi-Task Learning.” European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026, pp. 652–68, doi:10.1007/978-3-032-37667-1_37.
LibreCat | DOI | Download (ext.)
 
[80]
2026 | Conference Paper | LibreCat-ID: 67305 | OA
Becktepe, Jannis, et al. “Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control.” International Conference on Machine Learning (ICML), 2026, doi:10.48550/arXiv.2601.15015.
LibreCat | DOI | Download (ext.)
 
[79]
2026 | Journal Article | LibreCat-ID: 67301
Wohlleben, Meike Claudia, et al. “Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings.” Multibody System Dynamics, 2026, doi: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.
LibreCat | Download (ext.)
 
[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, et al. “A Multiobjective Continuation Method to Compute the Regularization Path of Deep Neural Networks.” Machine Learning with Applications, vol. 19, 100625, Elsevier, 2025, doi:10.1016/j.mlwa.2025.100625.
LibreCat | Files available | DOI
 
[75]
2025 | Journal Article | LibreCat-ID: 46579 | OA
Peitz, Sebastian, et al. “Equivariance and Partial Observations in Koopman Operator Theory for Partial Differential Equations.” Journal of Computational Dynamics, vol. 12, 2025, pp. 305–24, doi: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.” Systems Theory in Data and Optimization, edited by J. Berberich et al., Springer, 2025, pp. 153–68, doi:10.1007/978-3-031-83191-1_10.
LibreCat | DOI | Download (ext.)
 
[73]
2025 | Conference Paper | LibreCat-ID: 67313
Voth, Diana, et al. “Effective Backdoor Learning on Open-Set Face Recognition Systems.” 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 1027–39, doi:10.1109/WACV61041.2025.00109.
LibreCat | DOI
 
[72]
2025 | Preprint | LibreCat-ID: 67312
Markmann, Thorben, et al. “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, et al. “Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces.” ArXiv:2509.22482, 2025.
LibreCat
 
[70]
2025 | Journal Article | LibreCat-ID: 57829
de Payrebrune, Kristin M., et al. “The Impact of AI on Engineering Design Procedures for Dynamical Systems.” Technische Mechanik - European Journal of Engineering Mechanics, vol. 45, no. 1, 2025, pp. 1–23, doi:10.24352/UB.OVGU-2025-037.
LibreCat | DOI
 
[69]
2025 | Journal Article | LibreCat-ID: 51158 | OA
Philipp, Friedrich, et al. “Error Analysis of Kernel EDMD for Prediction and Control in the Koopman  Framework.” Ournal of Nonlinear Science, vol. 35, 92, 2025, doi:10.1007/s00332-025-10182-3.
LibreCat | DOI | Download (ext.) | arXiv
 
[68]
2025 | Journal Article | LibreCat-ID: 67319
de Payrebrune, K. M., et al. “The Impact of AI on Engineering Design Procedures for Dynamical Systems.” Technische Mechanik - European Journal of Engineering Mechanics, vol. 45, no. 1, 2025, pp. 1–23, doi: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, vol. 6, Université de Montpellier, 2025, pp. 1–36, doi:10.5802/ojmo.47.
LibreCat | DOI
 
[66]
2025 | Journal Article | LibreCat-ID: 67314
Harder, Hans, et al. “Group Convolutional Extended Dynamic Mode Decomposition.” Physica D: Nonlinear Phenomena, vol. 480, 2025, p. 134725, doi: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, doi:10.1016/j.mlwa.2025.100700.
LibreCat | DOI
 
[64]
2025 | Preprint | LibreCat-ID: 67315
Straat, Michiel, et al. “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, et al. “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, Springer, 2024, doi:10.1007/s10957-024-02389-3.
LibreCat | DOI | Download (ext.)
 
[61]
2024 | Journal Article | LibreCat-ID: 40171 | OA
Peitz, Sebastian, et al. “Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning.” Physica D: Nonlinear Phenomena, vol. 461, Elsevier, 2024, p. 134096, doi:10.1016/j.physd.2024.134096.
LibreCat | DOI | Download (ext.)
 
[60]
2024 | Journal Article | LibreCat-ID: 33461 | OA
Otto, Samuel E., et al. “Learning Bilinear Models of Actuated Koopman Generators from  Partially-Observed Trajectories.” SIAM Journal on Applied Dynamical Systems, vol. 23, no. 1, SIAM, 2024, pp. 885–923, doi:10.1137/22M1523601.
LibreCat | DOI | Download (ext.) | arXiv
 
[59]
2024 | Journal Article | LibreCat-ID: 38031 | OA
Philipp, Friedrich, et al. “Error Bounds for Kernel-Based Approximations of the Koopman Operator.” Applied and Computational Harmonic Analysis , vol. 71, 101657, Springer , 2024, doi: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, vol. 34, no. 3, Society for Industrial and Applied Mathematics, 2024, pp. 2259–86, doi:10.1137/23M1588512.
LibreCat | DOI
 
[57]
2024 | Conference Paper | LibreCat-ID: 46649 | OA
Hotegni, Sedjro Salomon, et al. “Multi-Objective Optimization for Sparse Deep Multi-Task Learning.” 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, 2024, p. 9, doi:10.1109/IJCNN60899.2024.10650994.
LibreCat | DOI | Download (ext.)
 
[56]
2024 | Journal Article | LibreCat-ID: 51334 | OA
Sonntag, Konstantin, et al. “A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces.” Journal of Optimization Theory and Applications, vol. 203, 2024, pp. 455–87, doi:10.1007/s10957-024-02520-4.
LibreCat | DOI | Download (ext.) | arXiv
 
[55]
2024 | Conference Paper | LibreCat-ID: 62913
Hunstig, Anna, et al. “Accelerating the Analysis of Optical Quantum Systems Using the Koopman Operator.” IEEE 63rd Conference on Decision and Control (CDC), IEEE, 2024, doi: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.” IEEE 63rd Conference on Decision and Control (CDC), IEEE, 2024, pp. 1935–40, doi:10.1109/CDC56724.2024.10886529.
LibreCat | DOI
 
[53]
2024 | Book Chapter | LibreCat-ID: 46578 | OA
Bernreuther, Marco, et al. “Multiobjective Optimization of Non-Smooth PDE-Constrained Problems.” 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.” European Control Conference (ECC), IEEE, 2024, pp. 2958–64, doi:10.23919/ECC64448.2024.10590945.
LibreCat | DOI | Download (ext.) | arXiv
 
[51]
2024 | Conference Paper | LibreCat-ID: 48502 | OA
Peitz, Sebastian, et al. “Accelerating the Analysis of Optical Quantum Systems Using the Koopman Operator.” IEEE 63rd Conference on Decision and Control (CDC), 2024, pp. 7964–69, doi:10.1109/CDC56724.2024.10886589.
LibreCat | DOI | Download (ext.)
 
[50]
2024 | Preprint | LibreCat-ID: 67320
Berkemeier, Manuel, et al. “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, vol. 149, 110840, Elsevier, 2023, doi:10.1016/j.automatica.2022.110840.
LibreCat | DOI | Download (ext.)
 
[48]
2023 | Conference Paper | LibreCat-ID: 54838
Boshoff, Septimus, et al. “Hybrid Control of Interconnected Power Converters Using Both Expert-Driven Droop and Data-Driven Reinforcement Learning Approaches.” IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 124–29.
LibreCat | Download (ext.)
 
[47]
2023 | Conference Paper | LibreCat-ID: 54839
Meyer, Marvin, et al. “ElectricGrid.Jl – Automated Modeling of Decentralized Electrical Energy Grids.” IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 112–17.
LibreCat | Download (ext.)
 
[46]
2023 | Journal Article | LibreCat-ID: 27426 | OA
Gebken, Bennet, et al. “On the Structure of Regularization Paths for Piecewise Differentiable Regularization Terms.” Journal of Global Optimization, vol. 85, no. 3, 2023, pp. 709–41, doi:10.1007/s10898-022-01223-2.
LibreCat | DOI | Download (ext.)
 
[45]
2023 | Conference Paper | LibreCat-ID: 30125 | OA
Schaller, Manuel, et al. “Towards Reliable Data-Based Optimal and Predictive Control Using Extended DMD.” IFAC-PapersOnLine, vol. 56, no. 1, 2023, pp. 169–74, doi:10.1016/j.ifacol.2023.02.029.
LibreCat | DOI | Download (ext.) | arXiv
 
[44]
2023 | Journal Article | LibreCat-ID: 23428 | OA
Nüske, Feliks, et al. “Finite-Data Error Bounds for Koopman-Based Prediction and Control.” Journal of Nonlinear Science, vol. 33, 14, 2023, doi:10.1007/s00332-022-09862-1.
LibreCat | DOI | Download (ext.)
 
[43]
2023 | Journal Article | LibreCat-ID: 21600
Dellnitz, Michael, et al. “Efficient Time Stepping for Numerical Integration Using Reinforcement  Learning.” SIAM Journal on Scientific Computing, vol. 45, no. 2, 2023, pp. A579–95, doi:10.1137/21M1412682.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[42]
2023 | Journal Article | LibreCat-ID: 46784 | OA
Wallscheid, Oliver, et al. “ElectricGrid.Jl - A Julia-Based Modeling and Simulationtool for Power Electronics-Driven Electric Energy Grids.” Journal of Open Source Software, vol. 8, no. 89, 5616, The Open Journal, 2023, doi:10.21105/joss.05616.
LibreCat | DOI | Download (ext.)
 
[41]
2023 | Conference Paper | LibreCat-ID: 46813 | OA
Wohlleben, Meike Claudia, et al. “Transferability of a Discrepancy Model for the Dynamics of Electromagnetic Oscillating Circuits.” Proceedings in Applied Mathematics and Mechanics, Wiley, 2023, doi:10.1002/pamm.202300039.
LibreCat | DOI | Download (ext.)
 
[40]
2022 | Book Chapter | LibreCat-ID: 16296 | OA
Banholzer, Stefan, et al. “ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation.” Non-Smooth and Complementarity-Based Distributed Parameter Systems, edited by Hintermüller Michael et al., Springer, 2022, pp. 43–76, doi:10.1007/978-3-030-79393-7_3.
LibreCat | DOI | Download (ext.)
 
[39]
2022 | Book Chapter | LibreCat-ID: 30294
Peitz, Sebastian, et al. “Efficient Virtual Design and Testing of Autonomous Vehicles.” German Success Stories in Industrial Mathematics, edited by H. G. Bock et al., vol. 35, Springer International Publishing, 2022, doi:10.1007/978-3-030-81455-7_23.
LibreCat | DOI
 
[38]
2022 | Journal Article | LibreCat-ID: 29673 | OA
Klus, Stefan, et al. “Koopman Analysis of Quantum Systems.” Journal of Physics A: Mathematical and Theoretical, vol. 55, no. 31, IOP Publishing Ltd., 2022, p. 314002, doi: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, et al. “On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 11, IEEE, 2022, pp. 7797–808, doi:10.1109/TPAMI.2021.3114962.
LibreCat | Files available | DOI | Download (ext.)
 
[35]
2022 | Book Chapter | LibreCat-ID: 29727
Wohlleben, Meike Claudia, et al. “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction.” Machine Learning, Optimization, and Data Science, Springer International Publishing, 2022, doi: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, vol. 26, no. 2, 31, 2021, doi: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, vol. 188, 2021, pp. 696–723, doi: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, vol. 80, Springer, 2021, pp. 3–29, doi: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, vol. 31(2), 2021, pp. 380–403, doi:10.1002/rnc.5281.
LibreCat | DOI | Download (ext.)
 
[30]
2020 | Book Chapter | LibreCat-ID: 17411
Flaßkamp, Kathrin, et al. “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach.” Advances in Dynamics, Optimization and Computation, edited by Oliver Junge et al., Springer, 2020, doi:10.1007/978-3-030-51264-4_9.
LibreCat | DOI
 
[29]
2020 | Journal Article | LibreCat-ID: 10596
Schütze, Oliver, et al. “Pareto Explorer: A Global/Local Exploration Tool for Many-Objective Optimization Problems.” Engineering Optimization, vol. 52, no. 5, 2020, pp. 832–55, doi:10.1080/0305215x.2019.1617286.
LibreCat | DOI
 
[28]
2020 | Journal Article | LibreCat-ID: 16288
Klus, Stefan, et al. “Data-Driven Approximation of the Koopman Generator: Model Reduction, System Identification, and Control.” Physica D: Nonlinear Phenomena, vol. 406, 132416, 2020, doi: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.” Lecture Notes in Control and Information Sciences, vol. 484, Springer, 2020, pp. 257–82, doi:10.1007/978-3-030-35713-9_10.
LibreCat | DOI
 
[26]
2020 | Journal Article | LibreCat-ID: 16290 | OA
Bieker, Katharina, et al. “Deep Model Predictive Flow Control with Limited Sensor Data and Online Learning.” Theoretical and Computational Fluid Dynamics, vol. 34, 2020, pp. 577–591, doi:10.1007/s00162-020-00520-4.
LibreCat | DOI | Download (ext.)
 
[25]
2020 | Journal Article | LibreCat-ID: 16309
Peitz, Sebastian, et al. “Data-Driven Model Predictive Control Using Interpolated Koopman  Generators.” SIAM Journal on Applied Dynamical Systems, vol. 19, no. 3, 2020, pp. 2162–93, doi:10.1137/20M1325678.
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[24]
2020 | Journal Article | LibreCat-ID: 16297
Hernández Castellanos, Carlos Ignacio, et al. “Explicit Multi-Objective Model Predictive Control for Nonlinear Systems  Under Uncertainty.” International Journal of Robust and Nonlinear Control, vol. 30(17), 2020, pp. 7593–618, doi: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, vol. 106, 2019, pp. 184–91, doi:10.1016/j.automatica.2019.05.016.
LibreCat | DOI
 
[22]
2019 | Journal Article | LibreCat-ID: 10595
Gebken, Bennet, et al. “On the Hierarchical Structure of Pareto Critical Sets.” Journal of Global Optimization, vol. 73, no. 4, 2019, pp. 891–913, doi:10.1007/s10898-019-00737-6.
LibreCat | DOI
 
[21]
2019 | Conference Paper | LibreCat-ID: 10597
Hanke, Soren, et al. “Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification.” 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2019, doi:10.1109/precede.2019.8753313.
LibreCat | DOI
 
[20]
2019 | Conference Paper | LibreCat-ID: 29636
Hanke, Sören, et al. “Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification.” 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2019, pp. 1–6.
LibreCat
 
[19]
2018 | Preprint | LibreCat-ID: 21634 | OA
Hanke, Sören, et al. “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, et al. “Eingesetzte wissenschaftliche Methoden.” Ressourceneffiziente Selbstoptimierende Wäscherei – Ergebnisse des ReSerW-Projekts, edited by Ansgar Trächtler, Springer, 2018.
LibreCat
 
[17]
2018 | Conference Paper | LibreCat-ID: 8750
Gebken, Bennet, et al. “A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems.” Numerical and Evolutionary Optimization – NEO 2017, 2018, doi: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, vol. 23, no. 2, 2018, doi:10.3390/mca23020030.
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[15]
2018 | Book Chapter | LibreCat-ID: 8754
Beermann, Dennis, et al. “Set-Oriented Multiobjective Optimal Control of PDEs Using Proper Orthogonal Decomposition.” Reduced-Order Modeling (ROM) for Simulation and Optimization, 2018, pp. 47–72, doi:10.1007/978-3-319-75319-5_3.
LibreCat | DOI
 
[14]
2018 | Journal Article | LibreCat-ID: 8755
Klus, Stefan, et al. “Tensor-Based Dynamic Mode Decomposition.” Nonlinearity, vol. 31, no. 7, 2018, pp. 3359–80, doi:10.1088/1361-6544/aabc8f.
LibreCat | DOI
 
[13]
2018 | Conference Paper | LibreCat-ID: 8757
Beermann, Dennis, et al. “POD-Based Multiobjective Optimal Control of PDEs with Non-Smooth Objectives.” PAMM, 2018, pp. 51–54, doi: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, et al. “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, et al. “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, et al. “Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling.” Acta Applicandae Mathematicae, vol. 161, no. 1, 2018, pp. 171–199, doi:10.1007/s10440-018-0209-7.
LibreCat | DOI
 
[8]
2017 | Conference Paper | LibreCat-ID: 5914
Dellnitz, Michael, et al. “Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control.” Progress in Industrial Mathematics at ECMI 2014 , Springer International Publishing, 2017, pp. 633–41, doi: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.” NEO 2016, 2017, pp. 159–82, doi: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, doi:10.17619/UNIPB/1-176.
LibreCat | Files available | DOI | Download (ext.)
 
[5]
2017 | Journal Article | LibreCat-ID: 8756
Peitz, Sebastian, et al. “A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles.” Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC), vol. 50, no. 1, 2017, pp. 8674–79, doi:10.1016/j.ifacol.2017.08.1526.
LibreCat | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 8759
Peitz, Sebastian, et al. “Multiobjective Model Predictive Control of an Industrial Laundry.” Procedia Technology, 2016, pp. 483–90, doi:10.1016/j.protcy.2016.08.061.
LibreCat | DOI
 
[3]
2016 | Conference Paper | LibreCat-ID: 8758
Eckstein, Julian, et al. “A Comparison of Two Predictive Approaches to Control the Longitudinal Dynamics of Electric Vehicles.” Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, vol. 26, 2016, pp. 465–72, doi:10.1016/j.protcy.2016.08.059.
LibreCat | DOI
 
[2]
2016 | Conference Paper | LibreCat-ID: 29433
Peitz, Sebastian, et al. “Reduced Order Model Based Multiobjective Optimal Control of Fluids.” 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.” PAMM, 2015, pp. 613–14, doi:10.1002/pamm.201510296.
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[90]
2026 | Journal Article | LibreCat-ID: 51160 | OA
Philipp, Friedrich M., et al. “Variance Representations and Convergence Rates for Data-Driven Approximations of Koopman Operators.” Physica D: Nonlinear Phenomena, vol. 492, 135223, 2026, doi:10.1016/j.physd.2026.135223.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[89]
2026 | Journal Article | LibreCat-ID: 53858 | OA
Akhter, Junaid, et al. “Common Pitfalls to Avoid While Using Multiobjective Optimization in Machine Learning.” SIAM Review, vol. 68, no. 3, SIAM, 2026, pp. 656–83, doi:10.1137/24M1658875.
LibreCat | DOI | Download (ext.)
 
[88]
2026 | Conference Paper | LibreCat-ID: 67308
Amakor, Augustina Chidinma, et al. “Surrogate-Assisted Multi-Objective Design of Complex Multibody Systems.” Artificial Neural Networks and Machine Learning – ICANN 2025, edited by Walter Senn et al., Springer Nature Switzerland, 2026, pp. 251–262, doi: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.” 14th International Conference on Learning Representations (ICLR), 2026, doi:10.48550/arXiv.2509.21058.
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[86]
2026 | Preprint | LibreCat-ID: 67306 | OA
Stenner, Jan, et al. “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, et al. “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.” Artificial Neural Networks and Machine Learning – ICANN 2025, edited by Walter Senn et al., Springer Nature Switzerland, 2026, pp. 442–454, doi:10.1007/978-3-032-04558-4_35.
LibreCat | DOI
 
[83]
2026 | Journal Article | LibreCat-ID: 67302
Markmann, Thorben, et al. “Fourier Neural Operators as Data-Driven Surrogates for Two- and Three-Dimensional Rayleigh–Bénard Convection.” Neurocomputing, vol. 679, 2026, p. 133201, doi:10.1016/j.neucom.2026.133201.
LibreCat | DOI
 
[82]
2026 | Conference Paper | LibreCat-ID: 67299 | OA
Harder, Hans, et al. “Efficient Probabilistic Surrogate Modeling Techniques for Partially-Observed Large-Scale Dynamical Systems.” Proceedings of The 8th Annual Learning for Dynamics and Control Conference, edited by Gaurav Sukhatme et al., vol. 331, PMLR, 2026, pp. 1601–1619, doi:10.48550/arXiv.2511.04641.
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[81]
2026 | Conference Paper | LibreCat-ID: 67303 | OA
Amakor, Augustina Chidinma, et al. “Interactive Pareto Navigation for Deep Multi-Task Learning.” European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026, pp. 652–68, doi:10.1007/978-3-032-37667-1_37.
LibreCat | DOI | Download (ext.)
 
[80]
2026 | Conference Paper | LibreCat-ID: 67305 | OA
Becktepe, Jannis, et al. “Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control.” International Conference on Machine Learning (ICML), 2026, doi:10.48550/arXiv.2601.15015.
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[79]
2026 | Journal Article | LibreCat-ID: 67301
Wohlleben, Meike Claudia, et al. “Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings.” Multibody System Dynamics, 2026, doi: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, et al. “A Multiobjective Continuation Method to Compute the Regularization Path of Deep Neural Networks.” Machine Learning with Applications, vol. 19, 100625, Elsevier, 2025, doi:10.1016/j.mlwa.2025.100625.
LibreCat | Files available | DOI
 
[75]
2025 | Journal Article | LibreCat-ID: 46579 | OA
Peitz, Sebastian, et al. “Equivariance and Partial Observations in Koopman Operator Theory for Partial Differential Equations.” Journal of Computational Dynamics, vol. 12, 2025, pp. 305–24, doi: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.” Systems Theory in Data and Optimization, edited by J. Berberich et al., Springer, 2025, pp. 153–68, doi:10.1007/978-3-031-83191-1_10.
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[73]
2025 | Conference Paper | LibreCat-ID: 67313
Voth, Diana, et al. “Effective Backdoor Learning on Open-Set Face Recognition Systems.” 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 1027–39, doi:10.1109/WACV61041.2025.00109.
LibreCat | DOI
 
[72]
2025 | Preprint | LibreCat-ID: 67312
Markmann, Thorben, et al. “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, et al. “Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces.” ArXiv:2509.22482, 2025.
LibreCat
 
[70]
2025 | Journal Article | LibreCat-ID: 57829
de Payrebrune, Kristin M., et al. “The Impact of AI on Engineering Design Procedures for Dynamical Systems.” Technische Mechanik - European Journal of Engineering Mechanics, vol. 45, no. 1, 2025, pp. 1–23, doi:10.24352/UB.OVGU-2025-037.
LibreCat | DOI
 
[69]
2025 | Journal Article | LibreCat-ID: 51158 | OA
Philipp, Friedrich, et al. “Error Analysis of Kernel EDMD for Prediction and Control in the Koopman  Framework.” Ournal of Nonlinear Science, vol. 35, 92, 2025, doi:10.1007/s00332-025-10182-3.
LibreCat | DOI | Download (ext.) | arXiv
 
[68]
2025 | Journal Article | LibreCat-ID: 67319
de Payrebrune, K. M., et al. “The Impact of AI on Engineering Design Procedures for Dynamical Systems.” Technische Mechanik - European Journal of Engineering Mechanics, vol. 45, no. 1, 2025, pp. 1–23, doi: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, vol. 6, Université de Montpellier, 2025, pp. 1–36, doi:10.5802/ojmo.47.
LibreCat | DOI
 
[66]
2025 | Journal Article | LibreCat-ID: 67314
Harder, Hans, et al. “Group Convolutional Extended Dynamic Mode Decomposition.” Physica D: Nonlinear Phenomena, vol. 480, 2025, p. 134725, doi: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, doi:10.1016/j.mlwa.2025.100700.
LibreCat | DOI
 
[64]
2025 | Preprint | LibreCat-ID: 67315
Straat, Michiel, et al. “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, et al. “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, Springer, 2024, doi:10.1007/s10957-024-02389-3.
LibreCat | DOI | Download (ext.)
 
[61]
2024 | Journal Article | LibreCat-ID: 40171 | OA
Peitz, Sebastian, et al. “Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning.” Physica D: Nonlinear Phenomena, vol. 461, Elsevier, 2024, p. 134096, doi:10.1016/j.physd.2024.134096.
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[60]
2024 | Journal Article | LibreCat-ID: 33461 | OA
Otto, Samuel E., et al. “Learning Bilinear Models of Actuated Koopman Generators from  Partially-Observed Trajectories.” SIAM Journal on Applied Dynamical Systems, vol. 23, no. 1, SIAM, 2024, pp. 885–923, doi:10.1137/22M1523601.
LibreCat | DOI | Download (ext.) | arXiv
 
[59]
2024 | Journal Article | LibreCat-ID: 38031 | OA
Philipp, Friedrich, et al. “Error Bounds for Kernel-Based Approximations of the Koopman Operator.” Applied and Computational Harmonic Analysis , vol. 71, 101657, Springer , 2024, doi: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, vol. 34, no. 3, Society for Industrial and Applied Mathematics, 2024, pp. 2259–86, doi:10.1137/23M1588512.
LibreCat | DOI
 
[57]
2024 | Conference Paper | LibreCat-ID: 46649 | OA
Hotegni, Sedjro Salomon, et al. “Multi-Objective Optimization for Sparse Deep Multi-Task Learning.” 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, 2024, p. 9, doi:10.1109/IJCNN60899.2024.10650994.
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[56]
2024 | Journal Article | LibreCat-ID: 51334 | OA
Sonntag, Konstantin, et al. “A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces.” Journal of Optimization Theory and Applications, vol. 203, 2024, pp. 455–87, doi:10.1007/s10957-024-02520-4.
LibreCat | DOI | Download (ext.) | arXiv
 
[55]
2024 | Conference Paper | LibreCat-ID: 62913
Hunstig, Anna, et al. “Accelerating the Analysis of Optical Quantum Systems Using the Koopman Operator.” IEEE 63rd Conference on Decision and Control (CDC), IEEE, 2024, doi: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.” IEEE 63rd Conference on Decision and Control (CDC), IEEE, 2024, pp. 1935–40, doi:10.1109/CDC56724.2024.10886529.
LibreCat | DOI
 
[53]
2024 | Book Chapter | LibreCat-ID: 46578 | OA
Bernreuther, Marco, et al. “Multiobjective Optimization of Non-Smooth PDE-Constrained Problems.” 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.” European Control Conference (ECC), IEEE, 2024, pp. 2958–64, doi:10.23919/ECC64448.2024.10590945.
LibreCat | DOI | Download (ext.) | arXiv
 
[51]
2024 | Conference Paper | LibreCat-ID: 48502 | OA
Peitz, Sebastian, et al. “Accelerating the Analysis of Optical Quantum Systems Using the Koopman Operator.” IEEE 63rd Conference on Decision and Control (CDC), 2024, pp. 7964–69, doi:10.1109/CDC56724.2024.10886589.
LibreCat | DOI | Download (ext.)
 
[50]
2024 | Preprint | LibreCat-ID: 67320
Berkemeier, Manuel, et al. “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, vol. 149, 110840, Elsevier, 2023, doi:10.1016/j.automatica.2022.110840.
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[48]
2023 | Conference Paper | LibreCat-ID: 54838
Boshoff, Septimus, et al. “Hybrid Control of Interconnected Power Converters Using Both Expert-Driven Droop and Data-Driven Reinforcement Learning Approaches.” IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 124–29.
LibreCat | Download (ext.)
 
[47]
2023 | Conference Paper | LibreCat-ID: 54839
Meyer, Marvin, et al. “ElectricGrid.Jl – Automated Modeling of Decentralized Electrical Energy Grids.” IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 112–17.
LibreCat | Download (ext.)
 
[46]
2023 | Journal Article | LibreCat-ID: 27426 | OA
Gebken, Bennet, et al. “On the Structure of Regularization Paths for Piecewise Differentiable Regularization Terms.” Journal of Global Optimization, vol. 85, no. 3, 2023, pp. 709–41, doi:10.1007/s10898-022-01223-2.
LibreCat | DOI | Download (ext.)
 
[45]
2023 | Conference Paper | LibreCat-ID: 30125 | OA
Schaller, Manuel, et al. “Towards Reliable Data-Based Optimal and Predictive Control Using Extended DMD.” IFAC-PapersOnLine, vol. 56, no. 1, 2023, pp. 169–74, doi:10.1016/j.ifacol.2023.02.029.
LibreCat | DOI | Download (ext.) | arXiv
 
[44]
2023 | Journal Article | LibreCat-ID: 23428 | OA
Nüske, Feliks, et al. “Finite-Data Error Bounds for Koopman-Based Prediction and Control.” Journal of Nonlinear Science, vol. 33, 14, 2023, doi:10.1007/s00332-022-09862-1.
LibreCat | DOI | Download (ext.)
 
[43]
2023 | Journal Article | LibreCat-ID: 21600
Dellnitz, Michael, et al. “Efficient Time Stepping for Numerical Integration Using Reinforcement  Learning.” SIAM Journal on Scientific Computing, vol. 45, no. 2, 2023, pp. A579–95, doi:10.1137/21M1412682.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[42]
2023 | Journal Article | LibreCat-ID: 46784 | OA
Wallscheid, Oliver, et al. “ElectricGrid.Jl - A Julia-Based Modeling and Simulationtool for Power Electronics-Driven Electric Energy Grids.” Journal of Open Source Software, vol. 8, no. 89, 5616, The Open Journal, 2023, doi:10.21105/joss.05616.
LibreCat | DOI | Download (ext.)
 
[41]
2023 | Conference Paper | LibreCat-ID: 46813 | OA
Wohlleben, Meike Claudia, et al. “Transferability of a Discrepancy Model for the Dynamics of Electromagnetic Oscillating Circuits.” Proceedings in Applied Mathematics and Mechanics, Wiley, 2023, doi:10.1002/pamm.202300039.
LibreCat | DOI | Download (ext.)
 
[40]
2022 | Book Chapter | LibreCat-ID: 16296 | OA
Banholzer, Stefan, et al. “ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation.” Non-Smooth and Complementarity-Based Distributed Parameter Systems, edited by Hintermüller Michael et al., Springer, 2022, pp. 43–76, doi:10.1007/978-3-030-79393-7_3.
LibreCat | DOI | Download (ext.)
 
[39]
2022 | Book Chapter | LibreCat-ID: 30294
Peitz, Sebastian, et al. “Efficient Virtual Design and Testing of Autonomous Vehicles.” German Success Stories in Industrial Mathematics, edited by H. G. Bock et al., vol. 35, Springer International Publishing, 2022, doi:10.1007/978-3-030-81455-7_23.
LibreCat | DOI
 
[38]
2022 | Journal Article | LibreCat-ID: 29673 | OA
Klus, Stefan, et al. “Koopman Analysis of Quantum Systems.” Journal of Physics A: Mathematical and Theoretical, vol. 55, no. 31, IOP Publishing Ltd., 2022, p. 314002, doi: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, et al. “On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 11, IEEE, 2022, pp. 7797–808, doi:10.1109/TPAMI.2021.3114962.
LibreCat | Files available | DOI | Download (ext.)
 
[35]
2022 | Book Chapter | LibreCat-ID: 29727
Wohlleben, Meike Claudia, et al. “Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction.” Machine Learning, Optimization, and Data Science, Springer International Publishing, 2022, doi: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, vol. 26, no. 2, 31, 2021, doi: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, vol. 188, 2021, pp. 696–723, doi: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, vol. 80, Springer, 2021, pp. 3–29, doi: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, vol. 31(2), 2021, pp. 380–403, doi:10.1002/rnc.5281.
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[30]
2020 | Book Chapter | LibreCat-ID: 17411
Flaßkamp, Kathrin, et al. “Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach.” Advances in Dynamics, Optimization and Computation, edited by Oliver Junge et al., Springer, 2020, doi:10.1007/978-3-030-51264-4_9.
LibreCat | DOI
 
[29]
2020 | Journal Article | LibreCat-ID: 10596
Schütze, Oliver, et al. “Pareto Explorer: A Global/Local Exploration Tool for Many-Objective Optimization Problems.” Engineering Optimization, vol. 52, no. 5, 2020, pp. 832–55, doi:10.1080/0305215x.2019.1617286.
LibreCat | DOI
 
[28]
2020 | Journal Article | LibreCat-ID: 16288
Klus, Stefan, et al. “Data-Driven Approximation of the Koopman Generator: Model Reduction, System Identification, and Control.” Physica D: Nonlinear Phenomena, vol. 406, 132416, 2020, doi: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.” Lecture Notes in Control and Information Sciences, vol. 484, Springer, 2020, pp. 257–82, doi:10.1007/978-3-030-35713-9_10.
LibreCat | DOI
 
[26]
2020 | Journal Article | LibreCat-ID: 16290 | OA
Bieker, Katharina, et al. “Deep Model Predictive Flow Control with Limited Sensor Data and Online Learning.” Theoretical and Computational Fluid Dynamics, vol. 34, 2020, pp. 577–591, doi:10.1007/s00162-020-00520-4.
LibreCat | DOI | Download (ext.)
 
[25]
2020 | Journal Article | LibreCat-ID: 16309
Peitz, Sebastian, et al. “Data-Driven Model Predictive Control Using Interpolated Koopman  Generators.” SIAM Journal on Applied Dynamical Systems, vol. 19, no. 3, 2020, pp. 2162–93, doi:10.1137/20M1325678.
LibreCat | DOI | Download (ext.)
 
[24]
2020 | Journal Article | LibreCat-ID: 16297
Hernández Castellanos, Carlos Ignacio, et al. “Explicit Multi-Objective Model Predictive Control for Nonlinear Systems  Under Uncertainty.” International Journal of Robust and Nonlinear Control, vol. 30(17), 2020, pp. 7593–618, doi: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, vol. 106, 2019, pp. 184–91, doi:10.1016/j.automatica.2019.05.016.
LibreCat | DOI
 
[22]
2019 | Journal Article | LibreCat-ID: 10595
Gebken, Bennet, et al. “On the Hierarchical Structure of Pareto Critical Sets.” Journal of Global Optimization, vol. 73, no. 4, 2019, pp. 891–913, doi:10.1007/s10898-019-00737-6.
LibreCat | DOI
 
[21]
2019 | Conference Paper | LibreCat-ID: 10597
Hanke, Soren, et al. “Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification.” 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2019, doi:10.1109/precede.2019.8753313.
LibreCat | DOI
 
[20]
2019 | Conference Paper | LibreCat-ID: 29636
Hanke, Sören, et al. “Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification.” 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2019, pp. 1–6.
LibreCat
 
[19]
2018 | Preprint | LibreCat-ID: 21634 | OA
Hanke, Sören, et al. “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, et al. “Eingesetzte wissenschaftliche Methoden.” Ressourceneffiziente Selbstoptimierende Wäscherei – Ergebnisse des ReSerW-Projekts, edited by Ansgar Trächtler, Springer, 2018.
LibreCat
 
[17]
2018 | Conference Paper | LibreCat-ID: 8750
Gebken, Bennet, et al. “A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems.” Numerical and Evolutionary Optimization – NEO 2017, 2018, doi: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, vol. 23, no. 2, 2018, doi:10.3390/mca23020030.
LibreCat | DOI | Download (ext.)
 
[15]
2018 | Book Chapter | LibreCat-ID: 8754
Beermann, Dennis, et al. “Set-Oriented Multiobjective Optimal Control of PDEs Using Proper Orthogonal Decomposition.” Reduced-Order Modeling (ROM) for Simulation and Optimization, 2018, pp. 47–72, doi:10.1007/978-3-319-75319-5_3.
LibreCat | DOI
 
[14]
2018 | Journal Article | LibreCat-ID: 8755
Klus, Stefan, et al. “Tensor-Based Dynamic Mode Decomposition.” Nonlinearity, vol. 31, no. 7, 2018, pp. 3359–80, doi:10.1088/1361-6544/aabc8f.
LibreCat | DOI
 
[13]
2018 | Conference Paper | LibreCat-ID: 8757
Beermann, Dennis, et al. “POD-Based Multiobjective Optimal Control of PDEs with Non-Smooth Objectives.” PAMM, 2018, pp. 51–54, doi: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, et al. “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, et al. “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, et al. “Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling.” Acta Applicandae Mathematicae, vol. 161, no. 1, 2018, pp. 171–199, doi:10.1007/s10440-018-0209-7.
LibreCat | DOI
 
[8]
2017 | Conference Paper | LibreCat-ID: 5914
Dellnitz, Michael, et al. “Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control.” Progress in Industrial Mathematics at ECMI 2014 , Springer International Publishing, 2017, pp. 633–41, doi: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.” NEO 2016, 2017, pp. 159–82, doi: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, doi:10.17619/UNIPB/1-176.
LibreCat | Files available | DOI | Download (ext.)
 
[5]
2017 | Journal Article | LibreCat-ID: 8756
Peitz, Sebastian, et al. “A Multiobjective MPC Approach for Autonomously Driven Electric Vehicles.” Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC), vol. 50, no. 1, 2017, pp. 8674–79, doi:10.1016/j.ifacol.2017.08.1526.
LibreCat | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 8759
Peitz, Sebastian, et al. “Multiobjective Model Predictive Control of an Industrial Laundry.” Procedia Technology, 2016, pp. 483–90, doi:10.1016/j.protcy.2016.08.061.
LibreCat | DOI
 
[3]
2016 | Conference Paper | LibreCat-ID: 8758
Eckstein, Julian, et al. “A Comparison of Two Predictive Approaches to Control the Longitudinal Dynamics of Electric Vehicles.” Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, vol. 26, 2016, pp. 465–72, doi:10.1016/j.protcy.2016.08.059.
LibreCat | DOI
 
[2]
2016 | Conference Paper | LibreCat-ID: 29433
Peitz, Sebastian, et al. “Reduced Order Model Based Multiobjective Optimal Control of Fluids.” 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.” PAMM, 2015, pp. 613–14, doi:10.1002/pamm.201510296.
LibreCat | DOI
 
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