Creative Unit

PhD-Projekte

• Parameter and Structure Identification for Complex Dynamical Systems* (Eva Dierkes)
• Deep Learning based Lane Segmentation and Model Predictive Lane Following* (Lennart Evers)
• Modeling of Renewable Energy Systems (Malin Lachmann)
• Evaluation of quality of local solutions of nonlinear programs based on parametric sensitivity analysis* (Ivan Mykhailiuk)
• Online Optimal Parameter Identification in Dynamic Controlled Environments* (Dr. Margareta Runge)
• Decomposition Methods for Parameter Identification and Bilevel Programming* (Dr. Kai Schäfer)
• Applications of Parametric Sensitivity Analysis in Parameter Identification Problems (Marek Wiesner)

* Dies ist ein Projekt innerhalb des Graduiertenkollegs π³. Eine Projektbeschreibung finden Sie hier.

Veröffentlichungen

1. M. Wiesner, K. Schäfer, W. Bergmann, A. Berger, P. Shulpyakov, C. Dittert, C. Büskens.
   Analyzing the Influence of Measurements in Dynamical Parameter Identification Using Parametric Sensitivities.
   Third IFAC Conference on Modelling, Identification and Control of Nonlinear Systems, 15.09-17.09.2021.
   

   DOI: 10.1016/j.ifacol.2021.10.320

2. E. Dierkes, K. Flaßkamp.
   Learning Mechanical Systems by Hamiltonian Neural Networks.
   GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
   Proceedings in Applied Mathematics & Mechanics, 21(1), WILEY-VCH, 2021.

   DOI: 10.1002/pamm.202100116

3. E. Dierkes, K. Flaßkamp.
   Learning Hamiltonian Systems considering System Symmetries in Neural Networks.
   The 7th IFAC Workshop on Lagrangian and Hamiltonian Methods for Nonlinear Control, 11.10-13.10.2021, Berlin, Deutschland.
   

   DOI: 10.1016/j.ifacol.2021.11.080

4. E. Dierkes, C. Meerpohl, K. Flaßkamp, C. Büskens.
   Estimation and Mapping of System-Surface Interaction by Combining Nonlinear Optimization and Machine Learning.
   Third IFAC Conference on Modelling, Identification and Control of Nonlinear Systems, 15.09-17.09.2021.
   

   DOI: 10.1016/j.ifacol.2021.10.342

5. E. Dierkes, F. Jung, C. Büskens.
   Data-based models of drive technology for automation in automotive production.
   GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
   Proceedings in Applied Mathematics & Mechanics, 20(1), WILEY-VCH, 2021.

   DOI: 10.1002/pamm.202000286

6. L. Evers.
   Benchmarking pre-trained Encoders for real-time Semantic Road Scene Segmentation.
   GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
   Proceedings in Applied Mathematics & Mechanics, 20(1), WILEY-VCH, 2020.

   DOI: 10.1002/pamm.202000275

7. I. Mykhailiuk, K. Flaßkamp, C. Büskens, K. Schäfer.
   On the Computation of Convergence Regions for Sequential Nonlinear Programming Problems.
   GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
   Proceedings in Applied Mathematics & Mechanics, 20(1), WILEY-VCH, 2021.

   DOI: 10.1002/pamm.202000281

8. M. Runge, K. Flaßkamp, C. Büskens.
   Real-time parameter estimation for sensitivity-based LQ regulator adaptation .
   GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
   Proceedings in Applied Mathematics & Mechanics, 20(1), WILEY-VCH, 2021.

   DOI: 10.1002/pamm.202000292

9. K. Schäfer, J. Fliege, K. Flaßkamp, C. Büskens.
   Reformulating Bilevel Problems by SQP Embedding.
   GAMM 91st Annual Meeting of the international Association of Applied Mathematics and Mechanics, online, 15.03.2021 - 19.03.2021.
   Proceedings in Applied Mathematics & Mechanics, WILEY-VCH, 2021.

   DOI: 10.1002/pamm.202000302

10. M. Lachmann, J. Maldonado, W. Bergmann, F. Jung, M. Weber, C. Büskens.
    Self-Learning Data-Based Models as Basis of a Universally Applicable Energy Management System.
    Energies, 13(8), 2084, 2020.

    DOI: 10.3390/en13082084

11. M. Lachmann, F. Jung, C. Büskens.
    Computationally efficient identification of databased models applied to a milk cooling system.
    Conference of Computational Interdisciplinary Science, CCIS, 19.03.-22.03.2019, Atlanta, USA.
    Campinas: Galoa, 2020.

    online unter: https://proceedings.science/ccis-2019/papers/computationally-efficient-identification-of-databased-models-applied-to-a-milk-cooling-system

12. M. Runge, K. Flaßkamp, C. Büskens.
    Model Predictive Control with Online Nonlinear Parameter Identification for a Robotic System.
    International Conference on Control, Decision and Information Technologies (CoDIT), 29.06.-02.07.2020, Prag, Tschechien.
    Proceedings of CoDIT, 1:312-318, 2020.

    DOI: 10.1109/CoDIT49905.2020.9263886

13. K. Schäfer, K. Flaßkamp, J. Fliege, C. Büskens.
    A Combined Homotopy-Optimization Approach to Parameter Identification for Dynamical Systems.
    GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics, 18.02-22.02.2019, Wien, Österreich.
    90, Proc. Appl. Math. Mech., 19, Wiley, 2019.

    DOI: 10.1002/pamm.201900266

14. M. Runge, K. Flaßkamp, C. Büskens.
    Sequential Solution of Parameter Identification and Optimal Control Problems for Robotic Systems.
    89th GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics (GAMM), 19.03.-23.03.2018, München, Deutschland.
    Proc. Appl. Math. Mech., 2018.

    DOI: 10.1002/pamm.201800099

15. K. Flaßkamp, K. Schäfer, C. Büskens.
    Variational Integrators for Parameter Identification of Mechanical Systems.
    GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics, 19.03.-23.03.2018, München, Deutschland.
    89, Proc. Appl. Math. Mech., 18, Wiley, 2018.

    DOI: 10.1002/pamm.201800284

16. K. Schäfer, M. Runge, K. Flaßkamp, C. Büskens.
    Parameter Identification for Dynamical Systems Using Optimal Control Techniques.
    European Control Conference (ECC) 2018, 12.06.-15.06.2018, Limassol, Zypern.
    

    DOI: 10.23919/ECC.2018.8550045

17. K. Schäfer, K. Flaßkamp, C. Büskens.
    A Numerical Study of the Robustness of Transcription Methods for Parameter Identification Problems.
    GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics, 19.03.-23.03.2018, München, Deutschland.
    89, Proc. Appl. Math. Mech., 18, Wiley, 2018.

    DOI: 10.1002/pamm.201800101

18. F. Jung, M. Lachmann, C. Büskens.
    SmartFarm - Data based optimization for optimal energy management.
    88th GAMM Annual Meeting of the international Association of Applied Mathematics and Mechanics (GAMM).
    Proc. Appl. Math. Mech., 17(1):741-742, 2017.

    DOI: 10.1002/pamm.201710338