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
Variance representations and convergence rates for data-driven approximations of Koopman operators
F.M. Philipp, M. Schaller, S. Boshoff, S. Peitz, F. Nüske, K. Worthmann, Physica D: Nonlinear Phenomena 492 (2026).
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[89]
2026 | Journal Article | LibreCat-ID: 53858 | OA
Common pitfalls to avoid while using multiobjective optimization in machine learning
J. Akhter, P.D. Fährmann, K. Sonntag, S. Peitz, SIAM Review 68 (2026) 656–683.
LibreCat | DOI | Download (ext.)
 
[88]
2026 | Conference Paper | LibreCat-ID: 67308
Surrogate-Assisted Multi-objective Design of Complex Multibody Systems
A.C. Amakor, M.B. Berkemeier, M.C. Wohlleben, W. Sextro, S. Peitz, in: W. Senn, M. Sanguineti, A. Saudargiene, I.V. Tetko, A.E.P. Villa, V. Jirsa, Y. Bengio (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2025, Springer Nature Switzerland, Cham, 2026, pp. 251–262.
LibreCat | DOI
 
[87]
2026 | Conference Paper | LibreCat-ID: 67307 | OA
SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion
S.S. Hotegni, S. Peitz, in: 14th International Conference on Learning Representations (ICLR), 2026.
LibreCat | DOI | Download (ext.)
 
[86]
2026 | Preprint | LibreCat-ID: 67306 | OA
Sparse Sensor Placement in Multi-Agent Reinforcement Learning Control of Rayleigh-Bénard Convection
J. Stenner, H. Harder, S. Peitz, ArXiv:2606.30238 (2026).
LibreCat | Download (ext.)
 
[85]
2026 | Preprint | LibreCat-ID: 67309
Toward an Energy-Optimized Operation of Data Centers Located in Wind Farms Using Reinforcement Learning
J. Stenner, A. Kilian, S. Peitz, H. de Meer, ArXiv:2606.30316 (2026).
LibreCat
 
[84]
2026 | Conference Paper | LibreCat-ID: 67300
Enhancing Adversarial Robustness Through Multi-objective Representation Learning
S.S. Hotegni, S. Peitz, in: W. Senn, M. Sanguineti, A. Saudargiene, I.V. Tetko, A.E.P. Villa, V. Jirsa, Y. Bengio (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2025, Springer Nature Switzerland, Cham, 2026, pp. 442–454.
LibreCat | DOI
 
[83]
2026 | Journal Article | LibreCat-ID: 67302
Fourier neural operators as data-driven surrogates for two- and three-dimensional Rayleigh–Bénard convection
T. Markmann, M. Straat, S. Peitz, B. Hammer, Neurocomputing 679 (2026) 133201.
LibreCat | DOI
 
[82]
2026 | Conference Paper | LibreCat-ID: 67299 | OA
Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems
H. Harder, A. Vishwasrao, L. Guastoni, R. Vinuesa, S. Peitz, in: G. Sukhatme, L. Lindemann, S. Tu, A. Wierman, N. Atanasov (Eds.), Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR, 2026, pp. 1601–1619.
LibreCat | DOI | Download (ext.)
 
[81]
2026 | Conference Paper | LibreCat-ID: 67303 | OA
Interactive Pareto navigation for deep multi-task learning
A.C. Amakor, K. Sonntag, S. Peitz, in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026, pp. 652–668.
LibreCat | DOI | Download (ext.)
 
[80]
2026 | Conference Paper | LibreCat-ID: 67305 | OA
Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control
J. Becktepe, A. Franz, N. Thuerey, S. Peitz, in: International Conference on Machine Learning (ICML), 2026.
LibreCat | DOI | Download (ext.)
 
[79]
2026 | Journal Article | LibreCat-ID: 67301
Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings
M.C. Wohlleben, J. Schütte, M. Berkemeier, W. Sextro, S. Peitz, Multibody System Dynamics (2026).
LibreCat | DOI
 
[78]
2026 | Preprint | LibreCat-ID: 67298 | OA
Automatic feature identification in least-squares policy iteration using the Koopman operator framework
C. Mugisho Zagabe, S. Peitz, ArXiv:2603.26464 (2026).
LibreCat | Download (ext.)
 
[77]
2026 | Preprint | LibreCat-ID: 67304 | OA
Koopman-based surrogate modeling for reinforcement-learning-control of Rayleigh-Benard convection
T. Plotzki, S. Peitz, ArXiv:2603.28074 (2026).
LibreCat | Download (ext.)
 
[76]
2025 | Journal Article | LibreCat-ID: 51159
A multiobjective continuation method to compute the regularization path of deep neural networks
A.C. Amakor, K. Sonntag, S. Peitz, Machine Learning with Applications 19 (2025).
LibreCat | Files available | DOI
 
[75]
2025 | Journal Article | LibreCat-ID: 46579 | OA
Equivariance and partial observations in Koopman operator theory for partial differential equations
S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, Journal of Computational Dynamics 12 (2025) 305–324.
LibreCat | DOI | Download (ext.) | arXiv
 
[74]
2025 | Conference Paper | LibreCat-ID: 53793 | OA
Solving partial differential equations with equivariant extreme learning machines
H. Harder, S. Peitz, in: J. Berberich, A. Ianelli, F. Allgöwer (Eds.), Systems Theory in Data and Optimization, Springer, Cham, 2025, pp. 153–168.
LibreCat | DOI | Download (ext.)
 
[73]
2025 | Conference Paper | LibreCat-ID: 67313
Effective Backdoor Learning on Open-Set Face Recognition Systems
D. Voth, L. Dane, J. Grebe, S. Peitz, P. Terhörst, in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 1027–1039.
LibreCat | DOI
 
[72]
2025 | Preprint | LibreCat-ID: 67312
Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime
T. Markmann, M. Straat, S. Peitz, B. Hammer, ArXiv:2504.12000 (2025).
LibreCat
 
[71]
2025 | Preprint | LibreCat-ID: 67310
Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces
S. Boshoff, S. Peitz, S. Klus, ArXiv:2509.22482 (2025).
LibreCat
 
[70]
2025 | Journal Article | LibreCat-ID: 57829
The impact of AI on engineering design procedures for dynamical systems
K.M. de Payrebrune, K. Flaßkamp, T. Ströhla, T. Sattel, D. Bestle, B. Röder, P. Eberhard, S. Peitz, M. Stoffel, G. Rutwik, B. Aditya, M.C. Wohlleben, W. Sextro, M. Raff, C.D. Remy, M. Yadav, M. Stender, J. van Delden, T. Lüddecke, S.C. Langer, J. Schultz, C. Blech, Technische Mechanik - European Journal of Engineering Mechanics 45 (2025) 1–23.
LibreCat | DOI
 
[69]
2025 | Journal Article | LibreCat-ID: 51158 | OA
Error analysis of kernel EDMD for prediction and control in the Koopman framework
F. Philipp, M. Schaller, K. Worthmann, S. Peitz, F. Nüske, Ournal of Nonlinear Science 35 (2025).
LibreCat | DOI | Download (ext.) | arXiv
 
[68]
2025 | Journal Article | LibreCat-ID: 67319
The impact of AI on engineering design procedures for dynamical systems
K.M. de Payrebrune, K. Flaßkamp, T. Ströhla, T. Sattel, D. Bestle, B. Röder, P. Eberhard, S. Peitz, M. Stoffel, G. Rutwik, B. Aditya, M. Wohlleben, W. Sextro, M. Raff, C.D. Remy, M. Yadav, M. Stender, J. van Delden, T. Lüddecke, S.C. Langer, J. Schultz, C. Blech, Technische Mechanik - European Journal of Engineering Mechanics 45 (2025) 1–23.
LibreCat | DOI
 
[67]
2025 | Journal Article | LibreCat-ID: 67317
Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients
M. Berkemeier, S. Peitz, Open Journal of Mathematical Optimization 6 (2025) 1–36.
LibreCat | DOI
 
[66]
2025 | Journal Article | LibreCat-ID: 67314
Group Convolutional Extended Dynamic Mode Decomposition
H. Harder, S. Peitz, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, Physica D: Nonlinear Phenomena 480 (2025) 134725.
LibreCat | DOI
 
[65]
2025 | Journal Article | LibreCat-ID: 67316
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art
S. Peitz, S.S. Hotegni, Machine Learning with Applications (2025).
LibreCat | DOI
 
[64]
2025 | Preprint | LibreCat-ID: 67315
Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning
M. Straat, T. Markmann, S. Peitz, B. Hammer, ArXiv:2511.00272 (2025).
LibreCat
 
[63]
2025 | Preprint | LibreCat-ID: 67318
Surrogate Modeling of 3D Rayleigh-Bénard Convection with Equivariant Autoencoders
F. Fromme, C. Allen-Blanchette, H. Harder, S. Peitz, ArXiv:2505.13569 (2025).
LibreCat
 
[62]
2024 | Journal Article | LibreCat-ID: 46019 | OA
Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems
K. Sonntag, S. Peitz, Journal of Optimization Theory and Applications (2024).
LibreCat | DOI | Download (ext.)
 
[61]
2024 | Journal Article | LibreCat-ID: 40171 | OA
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning
S. Peitz, J. Stenner, V. Chidananda, O. Wallscheid, S.L. Brunton, K. Taira, Physica D: Nonlinear Phenomena 461 (2024) 134096.
LibreCat | DOI | Download (ext.)
 
[60]
2024 | Journal Article | LibreCat-ID: 33461 | OA
Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories
S.E. Otto, S. Peitz, C.W. Rowley, SIAM Journal on Applied Dynamical Systems 23 (2024) 885–923.
LibreCat | DOI | Download (ext.) | arXiv
 
[59]
2024 | Journal Article | LibreCat-ID: 38031 | OA
Error bounds for kernel-based approximations of the Koopman operator
F. Philipp, M. Schaller, K. Worthmann, S. Peitz, F. Nüske, Applied and Computational Harmonic Analysis 71 (2024).
LibreCat | DOI | Download (ext.) | arXiv
 
[58]
2024 | Journal Article | LibreCat-ID: 32447
Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping
K. Sonntag, S. Peitz, SIAM Journal on Optimization 34 (2024) 2259–2286.
LibreCat | DOI
 
[57]
2024 | Conference Paper | LibreCat-ID: 46649 | OA
Multi-Objective Optimization for Sparse Deep Multi-Task Learning
S.S. Hotegni, M.B. Berkemeier, S. Peitz, in: 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, Yokohama, Japan, 2024, p. 9.
LibreCat | DOI | Download (ext.)
 
[56]
2024 | Journal Article | LibreCat-ID: 51334 | OA
A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces
K. Sonntag, B. Gebken, G. Müller, S. Peitz, S. Volkwein, Journal of Optimization Theory and Applications 203 (2024) 455–487.
LibreCat | DOI | Download (ext.) | arXiv
 
[55]
2024 | Conference Paper | LibreCat-ID: 62913
Accelerating the analysis of optical quantum systems using the Koopman operator
A. Hunstig, S. Peitz, H. Rose, T. Meier, in: IEEE 63rd Conference on Decision and Control (CDC), IEEE, 2024.
LibreCat | DOI
 
[54]
2024 | Conference Paper | LibreCat-ID: 52758
On the continuity and smoothness of the value function in reinforcement learning and optimal control
H. Harder, S. Peitz, in: IEEE 63rd Conference on Decision and Control (CDC), IEEE, 2024, pp. 1935–1940.
LibreCat | DOI
 
[53]
2024 | Book Chapter | LibreCat-ID: 46578 | OA
Multiobjective Optimization of Non-Smooth PDE-Constrained Problems
M. Bernreuther, M. Dellnitz, B. Gebken, G. Müller, S. Peitz, K. Sonntag, S. Volkwein, in: DFG Priority Programme 1962, Birkhäuser, 2024.
LibreCat | Download (ext.) | arXiv
 
[52]
2024 | Conference Paper | LibreCat-ID: 42160 | OA
Numerical evidence for sample efficiency of model-based over model-free reinforcement learning control of partial differential equations
S. Werner, S. Peitz, in: European Control Conference (ECC), IEEE, 2024, pp. 2958–2964.
LibreCat | DOI | Download (ext.) | arXiv
 
[51]
2024 | Conference Paper | LibreCat-ID: 48502 | OA
Accelerating the analysis of optical quantum systems using the Koopman operator
S. Peitz, A. Hunstig, H. Rose, T. Meier, in: IEEE 63rd Conference on Decision and Control (CDC), 2024, pp. 7964–7969.
LibreCat | DOI | Download (ext.)
 
[50]
2024 | Preprint | LibreCat-ID: 67320
New Nonlinear Conjugate Gradient Methods with Guaranteed Descent for Multi-Objective Optimization
M. Berkemeier, K. Sonntag, S. Peitz, Optimizaton Online (2024).
LibreCat
 
[49]
2023 | Journal Article | LibreCat-ID: 21199 | OA
On the Universal Transformation of Data-Driven Models to Control Systems
S. Peitz, K. Bieker, Automatica 149 (2023).
LibreCat | DOI | Download (ext.)
 
[48]
2023 | Conference Paper | LibreCat-ID: 54838
Hybrid control of interconnected power converters using both expert-driven droop and data-driven reinforcement learning approaches
S. Boshoff, J. Stenner, D. Weber, M. Meyer, V. Chidananda, S. Peitz, O. Wallscheid, in: IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 124–129.
LibreCat | Download (ext.)
 
[47]
2023 | Conference Paper | LibreCat-ID: 54839
ElectricGrid.jl – Automated modeling of decentralized electrical energy grids
M. Meyer, D. Weber, V. Chidananda, O. Schweins, J. Stenner, S. Boshoff, S. Peitz, O. Wallscheid, in: IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 112–117.
LibreCat | Download (ext.)
 
[46]
2023 | Journal Article | LibreCat-ID: 27426 | OA
On the structure of regularization paths for piecewise differentiable regularization terms
B. Gebken, K. Bieker, S. Peitz, Journal of Global Optimization 85 (2023) 709–741.
LibreCat | DOI | Download (ext.)
 
[45]
2023 | Conference Paper | LibreCat-ID: 30125 | OA
Towards reliable data-based optimal and predictive control using extended DMD
M. Schaller, K. Worthmann, F. Philipp, S. Peitz, F. Nüske, in: IFAC-PapersOnLine, 2023, pp. 169–174.
LibreCat | DOI | Download (ext.) | arXiv
 
[44]
2023 | Journal Article | LibreCat-ID: 23428 | OA
Finite-data error bounds for Koopman-based prediction and control
F. Nüske, S. Peitz, F. Philipp, M. Schaller, K. Worthmann, Journal of Nonlinear Science 33 (2023).
LibreCat | DOI | Download (ext.)
 
[43]
2023 | Journal Article | LibreCat-ID: 21600
Efficient time stepping for numerical integration using reinforcement learning
M. Dellnitz, E. Hüllermeier, M. Lücke, S. Ober-Blöbaum, C. Offen, S. Peitz, K. Pfannschmidt, SIAM Journal on Scientific Computing 45 (2023) A579–A595.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[42]
2023 | Journal Article | LibreCat-ID: 46784 | OA
ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids
O. Wallscheid, S. Peitz, J. Stenner, D. Weber, S. Boshoff, M. Meyer, V. Chidananda, O. Schweins, Journal of Open Source Software 8 (2023).
LibreCat | DOI | Download (ext.)
 
[41]
2023 | Conference Paper | LibreCat-ID: 46813 | OA
Transferability of a discrepancy model for the dynamics of electromagnetic oscillating circuits
M.C. Wohlleben, L. Muth, S. Peitz, W. Sextro, in: Proceedings in Applied Mathematics and Mechanics, Wiley, 2023.
LibreCat | DOI | Download (ext.)
 
[40]
2022 | Book Chapter | LibreCat-ID: 16296 | OA
ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation
S. Banholzer, B. Gebken, M. Dellnitz, S. Peitz, S. Volkwein, in: H. Michael, H. Roland, K. Christian, U. Michael, U. Stefan (Eds.), Non-Smooth and Complementarity-Based Distributed Parameter Systems, Springer, Cham, 2022, pp. 43–76.
LibreCat | DOI | Download (ext.)
 
[39]
2022 | Book Chapter | LibreCat-ID: 30294
Efficient Virtual Design and Testing of Autonomous Vehicles
S. Peitz, M. Dellnitz, S. Bannenberg, in: H.G. Bock, K.-H. Küfer, P. Maas, A. Milde, V. Schulz (Eds.), German Success Stories in Industrial Mathematics, Springer International Publishing, Cham, 2022.
LibreCat | DOI
 
[38]
2022 | Journal Article | LibreCat-ID: 29673 | OA
Koopman analysis of quantum systems
S. Klus, F. Nüske, S. Peitz, Journal of Physics A: Mathematical and Theoretical 55 (2022) 314002.
LibreCat | DOI | Download (ext.) | arXiv
 
[37]
2022 | Preprint | LibreCat-ID: 33150 | OA
Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients
M.B. Berkemeier, S. Peitz, ArXiv:2208.12094 (2022).
LibreCat | Download (ext.) | arXiv
 
[36]
2022 | Journal Article | LibreCat-ID: 20731 | OA
On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation
K. Bieker, B. Gebken, S. Peitz, IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (2022) 7797–7808.
LibreCat | Files available | DOI | Download (ext.)
 
[35]
2022 | Book Chapter | LibreCat-ID: 29727
Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction
M.C. Wohlleben, A. Bender, S. Peitz, W. Sextro, in: Machine Learning, Optimization, and Data Science, Springer International Publishing, Cham, 2022.
LibreCat | DOI | Download (ext.)
 
[34]
2021 | Journal Article | LibreCat-ID: 21337 | OA
Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models
M.B. Berkemeier, S. Peitz, Mathematical and Computational Applications 26 (2021).
LibreCat | DOI | Download (ext.)
 
[33]
2021 | Journal Article | LibreCat-ID: 16867 | OA
An efficient descent method for locally Lipschitz multiobjective optimization problems
B. Gebken, S. Peitz, Journal of Optimization Theory and Applications 188 (2021) 696–723.
LibreCat | DOI | Download (ext.)
 
[32]
2021 | Journal Article | LibreCat-ID: 16295 | OA
Inverse multiobjective optimization: Inferring decision criteria from data
B. Gebken, S. Peitz, Journal of Global Optimization 80 (2021) 3–29.
LibreCat | DOI | Download (ext.)
 
[31]
2021 | Journal Article | LibreCat-ID: 16294 | OA
Explicit multiobjective model predictive control for nonlinear systems with symmetries
S. Ober-Blöbaum, S. Peitz, International Journal of Robust and Nonlinear Control 31(2) (2021) 380–403.
LibreCat | DOI | Download (ext.)
 
[30]
2020 | Book Chapter | LibreCat-ID: 17411
Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach
K. Flaßkamp, S. Ober-Blöbaum, S. Peitz, in: O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, K. Padberg-Gehle (Eds.), Advances in Dynamics, Optimization and Computation, Springer, Cham, 2020.
LibreCat | DOI
 
[29]
2020 | Journal Article | LibreCat-ID: 10596
Pareto Explorer: a global/local exploration tool for many-objective optimization problems
O. Schütze, O. Cuate, A. Martín, S. Peitz, M. Dellnitz, Engineering Optimization 52 (2020) 832–855.
LibreCat | DOI
 
[28]
2020 | Journal Article | LibreCat-ID: 16288
Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
S. Klus, F. Nüske, S. Peitz, J.-H. Niemann, C. Clementi, C. Schütte, Physica D: Nonlinear Phenomena 406 (2020).
LibreCat | DOI
 
[27]
2020 | Book Chapter | LibreCat-ID: 16289
Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator
S. Peitz, S. Klus, in: Lecture Notes in Control and Information Sciences, Springer, Cham, 2020, pp. 257–282.
LibreCat | DOI
 
[26]
2020 | Journal Article | LibreCat-ID: 16290 | OA
Deep model predictive flow control with limited sensor data and online learning
K. Bieker, S. Peitz, S.L. Brunton, J.N. Kutz, M. Dellnitz, Theoretical and Computational Fluid Dynamics 34 (2020) 577–591.
LibreCat | DOI | Download (ext.)
 
[25]
2020 | Journal Article | LibreCat-ID: 16309
Data-Driven Model Predictive Control using Interpolated Koopman Generators
S. Peitz, S.E. Otto, C.W. Rowley, SIAM Journal on Applied Dynamical Systems 19 (2020) 2162–2193.
LibreCat | DOI | Download (ext.)
 
[24]
2020 | Journal Article | LibreCat-ID: 16297
Explicit Multi-objective Model Predictive Control for Nonlinear Systems Under Uncertainty
C.I. Hernández Castellanos, S. Ober-Blöbaum, S. Peitz, International Journal of Robust and Nonlinear Control 30(17) (2020) 7593–7618.
LibreCat | DOI
 
[23]
2019 | Journal Article | LibreCat-ID: 10593
Koopman operator-based model reduction for switched-system control of PDEs
S. Peitz, S. Klus, Automatica 106 (2019) 184–191.
LibreCat | DOI
 
[22]
2019 | Journal Article | LibreCat-ID: 10595
On the hierarchical structure of Pareto critical sets
B. Gebken, S. Peitz, M. Dellnitz, Journal of Global Optimization 73 (2019) 891–913.
LibreCat | DOI
 
[21]
2019 | Conference Paper | LibreCat-ID: 10597
Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification
S. Hanke, S. Peitz, O. Wallscheid, J. Böcker, M. Dellnitz, in: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2019.
LibreCat | DOI
 
[20]
2019 | Conference Paper | LibreCat-ID: 29636
Finite-control-set model predictive control for a permanent magnet synchronous motor application with online least squares system identification
S. Hanke, S. Peitz, O. Wallscheid, J. Böcker, M. Dellnitz, in: 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
Koopman Operator-Based Finite-Control-Set Model Predictive Control for Electrical Drives
S. Hanke, S. Peitz, O. Wallscheid, S. Klus, J. Böcker, M. Dellnitz, ArXiv:1804.00854 (2018).
LibreCat | Download (ext.)
 
[18]
2018 | Book Chapter | LibreCat-ID: 22796
Eingesetzte wissenschaftliche Methoden
F. Kummert, A. Albers, C. Bremer, S. Büttner, M. Dellnitz, R. Dumitrescu, M. Gräler, V. Just, H. Mucha, S. Peitz, C. Röcker, A. Trächtler, C. Tschirner, S. Wang, J. Wittrowski, in: A. Trächtler (Ed.), Ressourceneffiziente Selbstoptimierende Wäscherei – Ergebnisse des ReSerW-Projekts, Springer, Paderborn, 2018.
LibreCat
 
[17]
2018 | Conference Paper | LibreCat-ID: 8750
A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems
B. Gebken, S. Peitz, M. Dellnitz, in: Numerical and Evolutionary Optimization – NEO 2017, Cham, 2018.
LibreCat | DOI
 
[16]
2018 | Journal Article | LibreCat-ID: 8751 | OA
A Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction
S. Peitz, M. Dellnitz, Mathematical and Computational Applications 23 (2018).
LibreCat | DOI | Download (ext.)
 
[15]
2018 | Book Chapter | LibreCat-ID: 8754
Set-Oriented Multiobjective Optimal Control of PDEs Using Proper Orthogonal Decomposition
D. Beermann, M. Dellnitz, S. Peitz, S. Volkwein, in: Reduced-Order Modeling (ROM) for Simulation and Optimization, Cham, 2018, pp. 47–72.
LibreCat | DOI
 
[14]
2018 | Journal Article | LibreCat-ID: 8755
Tensor-based dynamic mode decomposition
S. Klus, P. Gelß, S. Peitz, C. Schütte, Nonlinearity 31 (2018) 3359–3380.
LibreCat | DOI
 
[13]
2018 | Conference Paper | LibreCat-ID: 8757
POD-based multiobjective optimal control of PDEs with non-smooth objectives
D. Beermann, M. Dellnitz, S. Peitz, S. Volkwein, in: PAMM, 2018, pp. 51–54.
LibreCat | DOI
 
[12]
2018 | Preprint | LibreCat-ID: 16292 | OA
Controlling nonlinear PDEs using low-dimensional bilinear approximations obtained from data
S. Peitz, ArXiv:1801.06419 (2018).
LibreCat | Download (ext.)
 
[11]
2018 | Preprint | LibreCat-ID: 16293 | OA
Analyzing high-dimensional time-series data using kernel transfer operator eigenfunctions
S. Klus, S. Peitz, I. Schuster, ArXiv:1805.10118 (2018).
LibreCat | Download (ext.)
 
[10]
2018 | Journal Article | LibreCat-ID: 29624
Koopman Operator-Based Finite-Control-Set Model Predictive Control for Electrical Drives
S. Hanke, S. Peitz, O. Wallscheid, S. Klus, J. Böcker, M. Dellnitz, ArXiv Preprint ArXiv:1804.00854 (2018).
LibreCat
 
[9]
2018 | Journal Article | LibreCat-ID: 8753
Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling
S. Peitz, S. Ober-Blöbaum, M. Dellnitz, Acta Applicandae Mathematicae 161 (2018) 171–199.
LibreCat | DOI
 
[8]
2017 | Conference Paper | LibreCat-ID: 5914
Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control
M. Dellnitz, J. Eckstein, K. Flaßkamp, P. Friedel, C. Horenkamp, U. Köhler, S. Ober-Blöbaum, S. Peitz, S. Tiemeyer, in: Progress in Industrial Mathematics at ECMI 2014 , Springer International Publishing, Cham, 2017, pp. 633–641.
LibreCat | DOI
 
[7]
2017 | Conference Paper | LibreCat-ID: 8752
Gradient-Based Multiobjective Optimization with Uncertainties
S. Peitz, M. Dellnitz, in: NEO 2016, Cham, 2017, pp. 159–182.
LibreCat | DOI
 
[6]
2017 | Dissertation | LibreCat-ID: 10594 | OA
Exploiting structure in multiobjective optimization and optimal control
S. Peitz,   Exploiting Structure in Multiobjective Optimization and Optimal Control, 2017.
LibreCat | Files available | DOI | Download (ext.)
 
[5]
2017 | Journal Article | LibreCat-ID: 8756
A multiobjective MPC approach for autonomously driven electric vehicles
S. Peitz, K. Schäfer, S. Ober-Blöbaum, J. Eckstein, U. Köhler, M. Dellnitz, Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC) 50 (2017) 8674–8679.
LibreCat | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 8759
Multiobjective Model Predictive Control of an Industrial Laundry
S. Peitz, M. Gräler, C. Henke, M.H. Molo, M. Dellnitz, A. Trächtler, in: Procedia Technology, 2016, pp. 483–490.
LibreCat | DOI
 
[3]
2016 | Conference Paper | LibreCat-ID: 8758
A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles
J. Eckstein, S. Peitz, K. Schäfer, P. Friedel, U. Köhler, M. Hessel von Molo, S. Ober-Blöbaum, M. Dellnitz, in: Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, 2016, pp. 465–472.
LibreCat | DOI
 
[2]
2016 | Conference Paper | LibreCat-ID: 29433
Reduced order model based multiobjective optimal control of fluids
S. Peitz, S. Ober-Blöbaum, M. Dellnitz, in: Proceedings of International Congress of Theoretical and Applied Mechanics, 2016.
LibreCat
 
[1]
2015 | Conference Paper | LibreCat-ID: 8760
Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction
S. Peitz, M. Dellnitz, in: PAMM, 2015, pp. 613–614.
LibreCat | DOI
 
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[90]
2026 | Journal Article | LibreCat-ID: 51160 | OA
Variance representations and convergence rates for data-driven approximations of Koopman operators
F.M. Philipp, M. Schaller, S. Boshoff, S. Peitz, F. Nüske, K. Worthmann, Physica D: Nonlinear Phenomena 492 (2026).
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[89]
2026 | Journal Article | LibreCat-ID: 53858 | OA
Common pitfalls to avoid while using multiobjective optimization in machine learning
J. Akhter, P.D. Fährmann, K. Sonntag, S. Peitz, SIAM Review 68 (2026) 656–683.
LibreCat | DOI | Download (ext.)
 
[88]
2026 | Conference Paper | LibreCat-ID: 67308
Surrogate-Assisted Multi-objective Design of Complex Multibody Systems
A.C. Amakor, M.B. Berkemeier, M.C. Wohlleben, W. Sextro, S. Peitz, in: W. Senn, M. Sanguineti, A. Saudargiene, I.V. Tetko, A.E.P. Villa, V. Jirsa, Y. Bengio (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2025, Springer Nature Switzerland, Cham, 2026, pp. 251–262.
LibreCat | DOI
 
[87]
2026 | Conference Paper | LibreCat-ID: 67307 | OA
SPREAD: Sampling-based Pareto front Refinement via Efficient Adaptive Diffusion
S.S. Hotegni, S. Peitz, in: 14th International Conference on Learning Representations (ICLR), 2026.
LibreCat | DOI | Download (ext.)
 
[86]
2026 | Preprint | LibreCat-ID: 67306 | OA
Sparse Sensor Placement in Multi-Agent Reinforcement Learning Control of Rayleigh-Bénard Convection
J. Stenner, H. Harder, S. Peitz, ArXiv:2606.30238 (2026).
LibreCat | Download (ext.)
 
[85]
2026 | Preprint | LibreCat-ID: 67309
Toward an Energy-Optimized Operation of Data Centers Located in Wind Farms Using Reinforcement Learning
J. Stenner, A. Kilian, S. Peitz, H. de Meer, ArXiv:2606.30316 (2026).
LibreCat
 
[84]
2026 | Conference Paper | LibreCat-ID: 67300
Enhancing Adversarial Robustness Through Multi-objective Representation Learning
S.S. Hotegni, S. Peitz, in: W. Senn, M. Sanguineti, A. Saudargiene, I.V. Tetko, A.E.P. Villa, V. Jirsa, Y. Bengio (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2025, Springer Nature Switzerland, Cham, 2026, pp. 442–454.
LibreCat | DOI
 
[83]
2026 | Journal Article | LibreCat-ID: 67302
Fourier neural operators as data-driven surrogates for two- and three-dimensional Rayleigh–Bénard convection
T. Markmann, M. Straat, S. Peitz, B. Hammer, Neurocomputing 679 (2026) 133201.
LibreCat | DOI
 
[82]
2026 | Conference Paper | LibreCat-ID: 67299 | OA
Efficient probabilistic surrogate modeling techniques for partially-observed large-scale dynamical systems
H. Harder, A. Vishwasrao, L. Guastoni, R. Vinuesa, S. Peitz, in: G. Sukhatme, L. Lindemann, S. Tu, A. Wierman, N. Atanasov (Eds.), Proceedings of The 8th Annual Learning for Dynamics and Control Conference, PMLR, 2026, pp. 1601–1619.
LibreCat | DOI | Download (ext.)
 
[81]
2026 | Conference Paper | LibreCat-ID: 67303 | OA
Interactive Pareto navigation for deep multi-task learning
A.C. Amakor, K. Sonntag, S. Peitz, in: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2026, pp. 652–668.
LibreCat | DOI | Download (ext.)
 
[80]
2026 | Conference Paper | LibreCat-ID: 67305 | OA
Plug-and-Play Benchmarking of Reinforcement Learning Algorithms for Large-Scale Flow Control
J. Becktepe, A. Franz, N. Thuerey, S. Peitz, in: International Conference on Machine Learning (ICML), 2026.
LibreCat | DOI | Download (ext.)
 
[79]
2026 | Journal Article | LibreCat-ID: 67301
Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings
M.C. Wohlleben, J. Schütte, M. Berkemeier, W. Sextro, S. Peitz, Multibody System Dynamics (2026).
LibreCat | DOI
 
[78]
2026 | Preprint | LibreCat-ID: 67298 | OA
Automatic feature identification in least-squares policy iteration using the Koopman operator framework
C. Mugisho Zagabe, S. Peitz, ArXiv:2603.26464 (2026).
LibreCat | Download (ext.)
 
[77]
2026 | Preprint | LibreCat-ID: 67304 | OA
Koopman-based surrogate modeling for reinforcement-learning-control of Rayleigh-Benard convection
T. Plotzki, S. Peitz, ArXiv:2603.28074 (2026).
LibreCat | Download (ext.)
 
[76]
2025 | Journal Article | LibreCat-ID: 51159
A multiobjective continuation method to compute the regularization path of deep neural networks
A.C. Amakor, K. Sonntag, S. Peitz, Machine Learning with Applications 19 (2025).
LibreCat | Files available | DOI
 
[75]
2025 | Journal Article | LibreCat-ID: 46579 | OA
Equivariance and partial observations in Koopman operator theory for partial differential equations
S. Peitz, H. Harder, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, Journal of Computational Dynamics 12 (2025) 305–324.
LibreCat | DOI | Download (ext.) | arXiv
 
[74]
2025 | Conference Paper | LibreCat-ID: 53793 | OA
Solving partial differential equations with equivariant extreme learning machines
H. Harder, S. Peitz, in: J. Berberich, A. Ianelli, F. Allgöwer (Eds.), Systems Theory in Data and Optimization, Springer, Cham, 2025, pp. 153–168.
LibreCat | DOI | Download (ext.)
 
[73]
2025 | Conference Paper | LibreCat-ID: 67313
Effective Backdoor Learning on Open-Set Face Recognition Systems
D. Voth, L. Dane, J. Grebe, S. Peitz, P. Terhörst, in: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025, pp. 1027–1039.
LibreCat | DOI
 
[72]
2025 | Preprint | LibreCat-ID: 67312
Control of Rayleigh-Bénard Convection: Effectiveness of Reinforcement Learning in the Turbulent Regime
T. Markmann, M. Straat, S. Peitz, B. Hammer, ArXiv:2504.12000 (2025).
LibreCat
 
[71]
2025 | Preprint | LibreCat-ID: 67310
Bayesian Transfer Operators in Reproducing Kernel Hilbert Spaces
S. Boshoff, S. Peitz, S. Klus, ArXiv:2509.22482 (2025).
LibreCat
 
[70]
2025 | Journal Article | LibreCat-ID: 57829
The impact of AI on engineering design procedures for dynamical systems
K.M. de Payrebrune, K. Flaßkamp, T. Ströhla, T. Sattel, D. Bestle, B. Röder, P. Eberhard, S. Peitz, M. Stoffel, G. Rutwik, B. Aditya, M.C. Wohlleben, W. Sextro, M. Raff, C.D. Remy, M. Yadav, M. Stender, J. van Delden, T. Lüddecke, S.C. Langer, J. Schultz, C. Blech, Technische Mechanik - European Journal of Engineering Mechanics 45 (2025) 1–23.
LibreCat | DOI
 
[69]
2025 | Journal Article | LibreCat-ID: 51158 | OA
Error analysis of kernel EDMD for prediction and control in the Koopman framework
F. Philipp, M. Schaller, K. Worthmann, S. Peitz, F. Nüske, Ournal of Nonlinear Science 35 (2025).
LibreCat | DOI | Download (ext.) | arXiv
 
[68]
2025 | Journal Article | LibreCat-ID: 67319
The impact of AI on engineering design procedures for dynamical systems
K.M. de Payrebrune, K. Flaßkamp, T. Ströhla, T. Sattel, D. Bestle, B. Röder, P. Eberhard, S. Peitz, M. Stoffel, G. Rutwik, B. Aditya, M. Wohlleben, W. Sextro, M. Raff, C.D. Remy, M. Yadav, M. Stender, J. van Delden, T. Lüddecke, S.C. Langer, J. Schultz, C. Blech, Technische Mechanik - European Journal of Engineering Mechanics 45 (2025) 1–23.
LibreCat | DOI
 
[67]
2025 | Journal Article | LibreCat-ID: 67317
Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients
M. Berkemeier, S. Peitz, Open Journal of Mathematical Optimization 6 (2025) 1–36.
LibreCat | DOI
 
[66]
2025 | Journal Article | LibreCat-ID: 67314
Group Convolutional Extended Dynamic Mode Decomposition
H. Harder, S. Peitz, F. Nüske, F. Philipp, M. Schaller, K. Worthmann, Physica D: Nonlinear Phenomena 480 (2025) 134725.
LibreCat | DOI
 
[65]
2025 | Journal Article | LibreCat-ID: 67316
Multi-objective Deep Learning: Taxonomy and Survey of the State of the Art
S. Peitz, S.S. Hotegni, Machine Learning with Applications (2025).
LibreCat | DOI
 
[64]
2025 | Preprint | LibreCat-ID: 67315
Improving the Robustness of Control of Chaotic Convective Flows with Domain-Informed Reinforcement Learning
M. Straat, T. Markmann, S. Peitz, B. Hammer, ArXiv:2511.00272 (2025).
LibreCat
 
[63]
2025 | Preprint | LibreCat-ID: 67318
Surrogate Modeling of 3D Rayleigh-Bénard Convection with Equivariant Autoencoders
F. Fromme, C. Allen-Blanchette, H. Harder, S. Peitz, ArXiv:2505.13569 (2025).
LibreCat
 
[62]
2024 | Journal Article | LibreCat-ID: 46019 | OA
Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems
K. Sonntag, S. Peitz, Journal of Optimization Theory and Applications (2024).
LibreCat | DOI | Download (ext.)
 
[61]
2024 | Journal Article | LibreCat-ID: 40171 | OA
Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning
S. Peitz, J. Stenner, V. Chidananda, O. Wallscheid, S.L. Brunton, K. Taira, Physica D: Nonlinear Phenomena 461 (2024) 134096.
LibreCat | DOI | Download (ext.)
 
[60]
2024 | Journal Article | LibreCat-ID: 33461 | OA
Learning Bilinear Models of Actuated Koopman Generators from Partially-Observed Trajectories
S.E. Otto, S. Peitz, C.W. Rowley, SIAM Journal on Applied Dynamical Systems 23 (2024) 885–923.
LibreCat | DOI | Download (ext.) | arXiv
 
[59]
2024 | Journal Article | LibreCat-ID: 38031 | OA
Error bounds for kernel-based approximations of the Koopman operator
F. Philipp, M. Schaller, K. Worthmann, S. Peitz, F. Nüske, Applied and Computational Harmonic Analysis 71 (2024).
LibreCat | DOI | Download (ext.) | arXiv
 
[58]
2024 | Journal Article | LibreCat-ID: 32447
Fast Convergence of Inertial Multiobjective Gradient-Like Systems with Asymptotic Vanishing Damping
K. Sonntag, S. Peitz, SIAM Journal on Optimization 34 (2024) 2259–2286.
LibreCat | DOI
 
[57]
2024 | Conference Paper | LibreCat-ID: 46649 | OA
Multi-Objective Optimization for Sparse Deep Multi-Task Learning
S.S. Hotegni, M.B. Berkemeier, S. Peitz, in: 2024 International Joint Conference on Neural Networks (IJCNN), IEEE, Yokohama, Japan, 2024, p. 9.
LibreCat | DOI | Download (ext.)
 
[56]
2024 | Journal Article | LibreCat-ID: 51334 | OA
A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces
K. Sonntag, B. Gebken, G. Müller, S. Peitz, S. Volkwein, Journal of Optimization Theory and Applications 203 (2024) 455–487.
LibreCat | DOI | Download (ext.) | arXiv
 
[55]
2024 | Conference Paper | LibreCat-ID: 62913
Accelerating the analysis of optical quantum systems using the Koopman operator
A. Hunstig, S. Peitz, H. Rose, T. Meier, in: IEEE 63rd Conference on Decision and Control (CDC), IEEE, 2024.
LibreCat | DOI
 
[54]
2024 | Conference Paper | LibreCat-ID: 52758
On the continuity and smoothness of the value function in reinforcement learning and optimal control
H. Harder, S. Peitz, in: IEEE 63rd Conference on Decision and Control (CDC), IEEE, 2024, pp. 1935–1940.
LibreCat | DOI
 
[53]
2024 | Book Chapter | LibreCat-ID: 46578 | OA
Multiobjective Optimization of Non-Smooth PDE-Constrained Problems
M. Bernreuther, M. Dellnitz, B. Gebken, G. Müller, S. Peitz, K. Sonntag, S. Volkwein, in: DFG Priority Programme 1962, Birkhäuser, 2024.
LibreCat | Download (ext.) | arXiv
 
[52]
2024 | Conference Paper | LibreCat-ID: 42160 | OA
Numerical evidence for sample efficiency of model-based over model-free reinforcement learning control of partial differential equations
S. Werner, S. Peitz, in: European Control Conference (ECC), IEEE, 2024, pp. 2958–2964.
LibreCat | DOI | Download (ext.) | arXiv
 
[51]
2024 | Conference Paper | LibreCat-ID: 48502 | OA
Accelerating the analysis of optical quantum systems using the Koopman operator
S. Peitz, A. Hunstig, H. Rose, T. Meier, in: IEEE 63rd Conference on Decision and Control (CDC), 2024, pp. 7964–7969.
LibreCat | DOI | Download (ext.)
 
[50]
2024 | Preprint | LibreCat-ID: 67320
New Nonlinear Conjugate Gradient Methods with Guaranteed Descent for Multi-Objective Optimization
M. Berkemeier, K. Sonntag, S. Peitz, Optimizaton Online (2024).
LibreCat
 
[49]
2023 | Journal Article | LibreCat-ID: 21199 | OA
On the Universal Transformation of Data-Driven Models to Control Systems
S. Peitz, K. Bieker, Automatica 149 (2023).
LibreCat | DOI | Download (ext.)
 
[48]
2023 | Conference Paper | LibreCat-ID: 54838
Hybrid control of interconnected power converters using both expert-driven droop and data-driven reinforcement learning approaches
S. Boshoff, J. Stenner, D. Weber, M. Meyer, V. Chidananda, S. Peitz, O. Wallscheid, in: IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 124–129.
LibreCat | Download (ext.)
 
[47]
2023 | Conference Paper | LibreCat-ID: 54839
ElectricGrid.jl – Automated modeling of decentralized electrical energy grids
M. Meyer, D. Weber, V. Chidananda, O. Schweins, J. Stenner, S. Boshoff, S. Peitz, O. Wallscheid, in: IEEE Power and Energy Student Summit (PESS), VDE, 2023, pp. 112–117.
LibreCat | Download (ext.)
 
[46]
2023 | Journal Article | LibreCat-ID: 27426 | OA
On the structure of regularization paths for piecewise differentiable regularization terms
B. Gebken, K. Bieker, S. Peitz, Journal of Global Optimization 85 (2023) 709–741.
LibreCat | DOI | Download (ext.)
 
[45]
2023 | Conference Paper | LibreCat-ID: 30125 | OA
Towards reliable data-based optimal and predictive control using extended DMD
M. Schaller, K. Worthmann, F. Philipp, S. Peitz, F. Nüske, in: IFAC-PapersOnLine, 2023, pp. 169–174.
LibreCat | DOI | Download (ext.) | arXiv
 
[44]
2023 | Journal Article | LibreCat-ID: 23428 | OA
Finite-data error bounds for Koopman-based prediction and control
F. Nüske, S. Peitz, F. Philipp, M. Schaller, K. Worthmann, Journal of Nonlinear Science 33 (2023).
LibreCat | DOI | Download (ext.)
 
[43]
2023 | Journal Article | LibreCat-ID: 21600
Efficient time stepping for numerical integration using reinforcement learning
M. Dellnitz, E. Hüllermeier, M. Lücke, S. Ober-Blöbaum, C. Offen, S. Peitz, K. Pfannschmidt, SIAM Journal on Scientific Computing 45 (2023) A579–A595.
LibreCat | Files available | DOI | Download (ext.) | arXiv
 
[42]
2023 | Journal Article | LibreCat-ID: 46784 | OA
ElectricGrid.jl - A Julia-based modeling and simulationtool for power electronics-driven electric energy grids
O. Wallscheid, S. Peitz, J. Stenner, D. Weber, S. Boshoff, M. Meyer, V. Chidananda, O. Schweins, Journal of Open Source Software 8 (2023).
LibreCat | DOI | Download (ext.)
 
[41]
2023 | Conference Paper | LibreCat-ID: 46813 | OA
Transferability of a discrepancy model for the dynamics of electromagnetic oscillating circuits
M.C. Wohlleben, L. Muth, S. Peitz, W. Sextro, in: Proceedings in Applied Mathematics and Mechanics, Wiley, 2023.
LibreCat | DOI | Download (ext.)
 
[40]
2022 | Book Chapter | LibreCat-ID: 16296 | OA
ROM-Based Multiobjective Optimization of Elliptic PDEs via Numerical Continuation
S. Banholzer, B. Gebken, M. Dellnitz, S. Peitz, S. Volkwein, in: H. Michael, H. Roland, K. Christian, U. Michael, U. Stefan (Eds.), Non-Smooth and Complementarity-Based Distributed Parameter Systems, Springer, Cham, 2022, pp. 43–76.
LibreCat | DOI | Download (ext.)
 
[39]
2022 | Book Chapter | LibreCat-ID: 30294
Efficient Virtual Design and Testing of Autonomous Vehicles
S. Peitz, M. Dellnitz, S. Bannenberg, in: H.G. Bock, K.-H. Küfer, P. Maas, A. Milde, V. Schulz (Eds.), German Success Stories in Industrial Mathematics, Springer International Publishing, Cham, 2022.
LibreCat | DOI
 
[38]
2022 | Journal Article | LibreCat-ID: 29673 | OA
Koopman analysis of quantum systems
S. Klus, F. Nüske, S. Peitz, Journal of Physics A: Mathematical and Theoretical 55 (2022) 314002.
LibreCat | DOI | Download (ext.) | arXiv
 
[37]
2022 | Preprint | LibreCat-ID: 33150 | OA
Multi-Objective Trust-Region Filter Method for Nonlinear Constraints using Inexact Gradients
M.B. Berkemeier, S. Peitz, ArXiv:2208.12094 (2022).
LibreCat | Download (ext.) | arXiv
 
[36]
2022 | Journal Article | LibreCat-ID: 20731 | OA
On the Treatment of Optimization Problems with L1 Penalty Terms via Multiobjective Continuation
K. Bieker, B. Gebken, S. Peitz, IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (2022) 7797–7808.
LibreCat | Files available | DOI | Download (ext.)
 
[35]
2022 | Book Chapter | LibreCat-ID: 29727
Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction
M.C. Wohlleben, A. Bender, S. Peitz, W. Sextro, in: Machine Learning, Optimization, and Data Science, Springer International Publishing, Cham, 2022.
LibreCat | DOI | Download (ext.)
 
[34]
2021 | Journal Article | LibreCat-ID: 21337 | OA
Derivative-Free Multiobjective Trust Region Descent Method Using Radial Basis Function Surrogate Models
M.B. Berkemeier, S. Peitz, Mathematical and Computational Applications 26 (2021).
LibreCat | DOI | Download (ext.)
 
[33]
2021 | Journal Article | LibreCat-ID: 16867 | OA
An efficient descent method for locally Lipschitz multiobjective optimization problems
B. Gebken, S. Peitz, Journal of Optimization Theory and Applications 188 (2021) 696–723.
LibreCat | DOI | Download (ext.)
 
[32]
2021 | Journal Article | LibreCat-ID: 16295 | OA
Inverse multiobjective optimization: Inferring decision criteria from data
B. Gebken, S. Peitz, Journal of Global Optimization 80 (2021) 3–29.
LibreCat | DOI | Download (ext.)
 
[31]
2021 | Journal Article | LibreCat-ID: 16294 | OA
Explicit multiobjective model predictive control for nonlinear systems with symmetries
S. Ober-Blöbaum, S. Peitz, International Journal of Robust and Nonlinear Control 31(2) (2021) 380–403.
LibreCat | DOI | Download (ext.)
 
[30]
2020 | Book Chapter | LibreCat-ID: 17411
Symmetry in Optimal Control: A Multiobjective Model Predictive Control Approach
K. Flaßkamp, S. Ober-Blöbaum, S. Peitz, in: O. Junge, O. Schütze, G. Froyland, S. Ober-Blöbaum, K. Padberg-Gehle (Eds.), Advances in Dynamics, Optimization and Computation, Springer, Cham, 2020.
LibreCat | DOI
 
[29]
2020 | Journal Article | LibreCat-ID: 10596
Pareto Explorer: a global/local exploration tool for many-objective optimization problems
O. Schütze, O. Cuate, A. Martín, S. Peitz, M. Dellnitz, Engineering Optimization 52 (2020) 832–855.
LibreCat | DOI
 
[28]
2020 | Journal Article | LibreCat-ID: 16288
Data-driven approximation of the Koopman generator: Model reduction, system identification, and control
S. Klus, F. Nüske, S. Peitz, J.-H. Niemann, C. Clementi, C. Schütte, Physica D: Nonlinear Phenomena 406 (2020).
LibreCat | DOI
 
[27]
2020 | Book Chapter | LibreCat-ID: 16289
Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator
S. Peitz, S. Klus, in: Lecture Notes in Control and Information Sciences, Springer, Cham, 2020, pp. 257–282.
LibreCat | DOI
 
[26]
2020 | Journal Article | LibreCat-ID: 16290 | OA
Deep model predictive flow control with limited sensor data and online learning
K. Bieker, S. Peitz, S.L. Brunton, J.N. Kutz, M. Dellnitz, Theoretical and Computational Fluid Dynamics 34 (2020) 577–591.
LibreCat | DOI | Download (ext.)
 
[25]
2020 | Journal Article | LibreCat-ID: 16309
Data-Driven Model Predictive Control using Interpolated Koopman Generators
S. Peitz, S.E. Otto, C.W. Rowley, SIAM Journal on Applied Dynamical Systems 19 (2020) 2162–2193.
LibreCat | DOI | Download (ext.)
 
[24]
2020 | Journal Article | LibreCat-ID: 16297
Explicit Multi-objective Model Predictive Control for Nonlinear Systems Under Uncertainty
C.I. Hernández Castellanos, S. Ober-Blöbaum, S. Peitz, International Journal of Robust and Nonlinear Control 30(17) (2020) 7593–7618.
LibreCat | DOI
 
[23]
2019 | Journal Article | LibreCat-ID: 10593
Koopman operator-based model reduction for switched-system control of PDEs
S. Peitz, S. Klus, Automatica 106 (2019) 184–191.
LibreCat | DOI
 
[22]
2019 | Journal Article | LibreCat-ID: 10595
On the hierarchical structure of Pareto critical sets
B. Gebken, S. Peitz, M. Dellnitz, Journal of Global Optimization 73 (2019) 891–913.
LibreCat | DOI
 
[21]
2019 | Conference Paper | LibreCat-ID: 10597
Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification
S. Hanke, S. Peitz, O. Wallscheid, J. Böcker, M. Dellnitz, in: 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE), 2019.
LibreCat | DOI
 
[20]
2019 | Conference Paper | LibreCat-ID: 29636
Finite-control-set model predictive control for a permanent magnet synchronous motor application with online least squares system identification
S. Hanke, S. Peitz, O. Wallscheid, J. Böcker, M. Dellnitz, in: 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
Koopman Operator-Based Finite-Control-Set Model Predictive Control for Electrical Drives
S. Hanke, S. Peitz, O. Wallscheid, S. Klus, J. Böcker, M. Dellnitz, ArXiv:1804.00854 (2018).
LibreCat | Download (ext.)
 
[18]
2018 | Book Chapter | LibreCat-ID: 22796
Eingesetzte wissenschaftliche Methoden
F. Kummert, A. Albers, C. Bremer, S. Büttner, M. Dellnitz, R. Dumitrescu, M. Gräler, V. Just, H. Mucha, S. Peitz, C. Röcker, A. Trächtler, C. Tschirner, S. Wang, J. Wittrowski, in: A. Trächtler (Ed.), Ressourceneffiziente Selbstoptimierende Wäscherei – Ergebnisse des ReSerW-Projekts, Springer, Paderborn, 2018.
LibreCat
 
[17]
2018 | Conference Paper | LibreCat-ID: 8750
A Descent Method for Equality and Inequality Constrained Multiobjective Optimization Problems
B. Gebken, S. Peitz, M. Dellnitz, in: Numerical and Evolutionary Optimization – NEO 2017, Cham, 2018.
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[16]
2018 | Journal Article | LibreCat-ID: 8751 | OA
A Survey of Recent Trends in Multiobjective Optimal Control—Surrogate Models, Feedback Control and Objective Reduction
S. Peitz, M. Dellnitz, Mathematical and Computational Applications 23 (2018).
LibreCat | DOI | Download (ext.)
 
[15]
2018 | Book Chapter | LibreCat-ID: 8754
Set-Oriented Multiobjective Optimal Control of PDEs Using Proper Orthogonal Decomposition
D. Beermann, M. Dellnitz, S. Peitz, S. Volkwein, in: Reduced-Order Modeling (ROM) for Simulation and Optimization, Cham, 2018, pp. 47–72.
LibreCat | DOI
 
[14]
2018 | Journal Article | LibreCat-ID: 8755
Tensor-based dynamic mode decomposition
S. Klus, P. Gelß, S. Peitz, C. Schütte, Nonlinearity 31 (2018) 3359–3380.
LibreCat | DOI
 
[13]
2018 | Conference Paper | LibreCat-ID: 8757
POD-based multiobjective optimal control of PDEs with non-smooth objectives
D. Beermann, M. Dellnitz, S. Peitz, S. Volkwein, in: PAMM, 2018, pp. 51–54.
LibreCat | DOI
 
[12]
2018 | Preprint | LibreCat-ID: 16292 | OA
Controlling nonlinear PDEs using low-dimensional bilinear approximations obtained from data
S. Peitz, ArXiv:1801.06419 (2018).
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[11]
2018 | Preprint | LibreCat-ID: 16293 | OA
Analyzing high-dimensional time-series data using kernel transfer operator eigenfunctions
S. Klus, S. Peitz, I. Schuster, ArXiv:1805.10118 (2018).
LibreCat | Download (ext.)
 
[10]
2018 | Journal Article | LibreCat-ID: 29624
Koopman Operator-Based Finite-Control-Set Model Predictive Control for Electrical Drives
S. Hanke, S. Peitz, O. Wallscheid, S. Klus, J. Böcker, M. Dellnitz, ArXiv Preprint ArXiv:1804.00854 (2018).
LibreCat
 
[9]
2018 | Journal Article | LibreCat-ID: 8753
Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling
S. Peitz, S. Ober-Blöbaum, M. Dellnitz, Acta Applicandae Mathematicae 161 (2018) 171–199.
LibreCat | DOI
 
[8]
2017 | Conference Paper | LibreCat-ID: 5914
Multiobjective Optimal Control Methods for the Development of an Intelligent Cruise Control
M. Dellnitz, J. Eckstein, K. Flaßkamp, P. Friedel, C. Horenkamp, U. Köhler, S. Ober-Blöbaum, S. Peitz, S. Tiemeyer, in: Progress in Industrial Mathematics at ECMI 2014 , Springer International Publishing, Cham, 2017, pp. 633–641.
LibreCat | DOI
 
[7]
2017 | Conference Paper | LibreCat-ID: 8752
Gradient-Based Multiobjective Optimization with Uncertainties
S. Peitz, M. Dellnitz, in: NEO 2016, Cham, 2017, pp. 159–182.
LibreCat | DOI
 
[6]
2017 | Dissertation | LibreCat-ID: 10594 | OA
Exploiting structure in multiobjective optimization and optimal control
S. Peitz,   Exploiting Structure in Multiobjective Optimization and Optimal Control, 2017.
LibreCat | Files available | DOI | Download (ext.)
 
[5]
2017 | Journal Article | LibreCat-ID: 8756
A multiobjective MPC approach for autonomously driven electric vehicles
S. Peitz, K. Schäfer, S. Ober-Blöbaum, J. Eckstein, U. Köhler, M. Dellnitz, Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC) 50 (2017) 8674–8679.
LibreCat | DOI
 
[4]
2016 | Conference Paper | LibreCat-ID: 8759
Multiobjective Model Predictive Control of an Industrial Laundry
S. Peitz, M. Gräler, C. Henke, M.H. Molo, M. Dellnitz, A. Trächtler, in: Procedia Technology, 2016, pp. 483–490.
LibreCat | DOI
 
[3]
2016 | Conference Paper | LibreCat-ID: 8758
A comparison of two predictive approaches to control the longitudinal dynamics of electric vehicles
J. Eckstein, S. Peitz, K. Schäfer, P. Friedel, U. Köhler, M. Hessel von Molo, S. Ober-Blöbaum, M. Dellnitz, in: Procedia Technology, 3rd International Conference on System-Integrated Intelligence: New Challenges for Product and Production Engineering, 2016, pp. 465–472.
LibreCat | DOI
 
[2]
2016 | Conference Paper | LibreCat-ID: 29433
Reduced order model based multiobjective optimal control of fluids
S. Peitz, S. Ober-Blöbaum, M. Dellnitz, in: Proceedings of International Congress of Theoretical and Applied Mechanics, 2016.
LibreCat
 
[1]
2015 | Conference Paper | LibreCat-ID: 8760
Multiobjective Optimization of the Flow Around a Cylinder Using Model Order Reduction
S. Peitz, M. Dellnitz, in: PAMM, 2015, pp. 613–614.
LibreCat | DOI
 
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