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82 Publications


2020 | Journal Article | LibreCat-ID: 16288
Klus, S., Nüske, F., Peitz, S., Niemann, J.-H., Clementi, C., & Schütte, C. (2020). Data-driven approximation of the Koopman generator: Model reduction, system identification, and control. Physica D: Nonlinear Phenomena, 406. https://doi.org/10.1016/j.physd.2020.132416
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2020 | Journal Article | LibreCat-ID: 16290
Bieker, K., Peitz, S., Brunton, S. L., Kutz, J. N., & Dellnitz, M. (2020). Deep model predictive flow control with limited sensor data and online learning. Theoretical and Computational Fluid Dynamics. https://doi.org/10.1007/s00162-020-00520-4
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2020 | Book Chapter | LibreCat-ID: 16289
Peitz, S., & Klus, S. (2020). Feedback Control of Nonlinear PDEs Using Data-Efficient Reduced Order Models Based on the Koopman Operator. In Lecture Notes in Control and Information Sciences (Vol. 484, pp. 257–282). Cham: Springer. https://doi.org/10.1007/978-3-030-35713-9_10
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2020 | Preprint | LibreCat-ID: 16309
Peitz, S., Otto, S. E., & Rowley, C. W. (2020). Data-Driven Model Predictive Control using Interpolated Koopman  Generators. ArXiv:2003.07094.
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2020 | Journal Article | LibreCat-ID: 10596
Schütze, O., Cuate, O., Martín, A., Peitz, S., & Dellnitz, M. (2020). Pareto Explorer: a global/local exploration tool for many-objective optimization problems. Engineering Optimization, 52(5), 832–855. https://doi.org/10.1080/0305215x.2019.1617286
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2020 | Preprint | LibreCat-ID: 16297
Hernández Castellanos, C. I., Ober-Blöbaum, S., & Peitz, S. (2020). Explicit Multi-objective Model Predictive Control for Nonlinear Systems  Under Uncertainty. ArXiv:2002.06006.
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2019 | Conference Paper | LibreCat-ID: 13107
Schumacher, J., & Rezat, S. (n.d.). A Hypothetical Learning Trajectory for the Learning of the Rules for Manipulating Integers. In U. T. Jankvist, M. Van den Heuvel-Panhuizen, & M. Veldhuis (Eds.), Proceedings of the Eleventh Congress of the European Society for Research in Mathematics Education (CERME11, February 6 – 10, 2019). Utrecht, the Netherlands: Freudenthal Group & Freudenthal Institute, Utrecht University and ERME.
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2019 | Journal Article | LibreCat-ID: 10595
Gebken, B., Peitz, S., & Dellnitz, M. (2019). On the hierarchical structure of Pareto critical sets. Journal of Global Optimization, 73(4), 891–913. https://doi.org/10.1007/s10898-019-00737-6
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2019 | Preprint | LibreCat-ID: 16295
Gebken, B., & Peitz, S. (2019). Inverse multiobjective optimization: Inferring decision criteria from  data. ArXiv:1901.06141.
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2019 | Book Chapter | LibreCat-ID: 13108
Schumacher, J., & Rezat, S. (n.d.). Rekonstruktion diagrammatischen Schließens beim Erlernen der Subtraktion negativer Zahlen. Vergleich zweier methodischer Zugänge. In G. Kadunz (Ed.), Semiotische Perspektiven auf das Lernen von Mathematik II. Springer.
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2019 | Book (Editor) | LibreCat-ID: 13139
Rezat, S., Fan, L., Hattermann, M., Schumacher, J., & Wuschke, H. (Eds.). (2019). Proceedings of the Third International Conference on Mathematics Textbook Research and Development: 16-19 September 2019 Paderborn, Germany. Presented at the Third International Conference on Mathematics Textbook Research and Development, Paderborn: Universitätsbibliothek Paderborn. https://doi.org/10.17619/UNIPB/1-768
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2019 | Preprint | LibreCat-ID: 16296
Banholzer, S., Gebken, B., Dellnitz, M., Peitz, S., & Volkwein, S. (2019). ROM-based multiobjective optimization of elliptic PDEs via numerical  continuation. ArXiv:1906.09075.
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2019 | Conference Paper | LibreCat-ID: 10597
Hanke, S., Peitz, S., Wallscheid, O., Böcker, J., & Dellnitz, M. (2019). Finite-Control-Set Model Predictive Control for a Permanent Magnet Synchronous Motor Application with Online Least Squares System Identification. In 2019 IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE). https://doi.org/10.1109/precede.2019.8753313
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2019 | Journal Article | LibreCat-ID: 8753
Peitz, S., Ober-Blöbaum, S., & Dellnitz, M. (2019). Multiobjective Optimal Control Methods for the Navier-Stokes Equations Using Reduced Order Modeling. Acta Applicandae Mathematicae, 161(1), 171–199. https://doi.org/10.1007/s10440-018-0209-7
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2019 | Journal Article | LibreCat-ID: 10593
Peitz, S., & Klus, S. (2019). Koopman operator-based model reduction for switched-system control of PDEs. Automatica, 106, 184–191. https://doi.org/10.1016/j.automatica.2019.05.016
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2019 | Journal Article | LibreCat-ID: 21
Richters, D., Lass, M., Walther, A., Plessl, C., & Kühne, T. (2019). A General Algorithm to Calculate the Inverse Principal p-th Root of Symmetric Positive Definite Matrices. Communications in Computational Physics, 25(2), 564–585. https://doi.org/10.4208/cicp.OA-2018-0053
LibreCat | DOI | arXiv
 

2019 | Conference Abstract | LibreCat-ID: 8482
Jurgelucks, B., Schulze, V., Feldmann, N., & Claes, L. (2019). Arbitrary sensitivity for inverse problems in piezoelectricity. In GAMM 2019. Wien.
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2019 | Book Chapter | LibreCat-ID: 8577
Kuklinski, C., Leis, E., Liebendörfer, M., & Hochmuth, R. (2019). Erklärung von Mathematikleistung im Ingenieursstudium. In Beiträge zum Mathematikunterricht 2019.
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2019 | Conference Paper | LibreCat-ID: 13106
Schumacher, J. (n.d.). Rekonstruktion diagrammatischen Schließens am Beispiel der Subtraktion negativer Zahlen. In Beiträge zum Mathematikunterricht 2019. Regensburg.
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2018 | Book Chapter | LibreCat-ID: 8573
Liebendörfer, M. (2018). Psychologische Grundbedürfnisse im frühen Mathematikstudium. In F. Didaktik der Mathematik der Universität Paderborn (Ed.), Beiträge zum Mathematikunterricht 2018 (pp. 1171–1174). Münster: WTM-Verlag.
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