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Bild  Marek Wiesner

Marek Wiesner

Research Assistant WG Optimization and Optimal Control

Room: NEOS 3300
Email: mwiesner@uni-bremen.de
Phone: (0421) 218-64364
ORCID iD:  0000-0002-6230-5622

Presentations

Marek Wiesner, Arne Berger, Wiebke Bergmann, Kai Schäfer, Carla Dittert, Petr Shulpyakov, Christof Büskens: TOPAS Model Fitting: Improving the Modeling Process of Dynamical Systems using Parametric Sensitivities from Nonlinear Optimization, OR 2021 International Conference on Operations Research, Bern, September 2 2021
Marek Wiesner, Kai Schäfer, Wiebke Bergmann, Arne Berger, Petr Shulpyakov, Carla Dittert, Christof Büskens: Analyzing the Influence of Measurements in Dynamical Parameter Identification Using Parametric Sensitivities, MICNON 2021 3rd IFAC Conference on Modelling, Identification and Control of Nonlinear Systems, Tokyo, September 15 2021
Marek Wiesner, Christof Büskens: Benchmarking Methods for Parameter Identification in Dynamical Systems, 93rd Annual Meeting of the International Association of Applied Mathematics and Mechanics, Dresden, May 30 2023
Marek Wiesner, Kai Schäfer, Petr Shulpyakov, Christof Büskens: TOPAS Model Fitting: A Tool for Parameter Identification of Dynamical Systems, OR 2023 International Conference on Operations Research, Hamburg, August 31 2023

Research Areas

Projects

  1. TOPA³S - Transfer center for the optimized, Assisted, highly Automated and Autonomous Systems (01.06.2019 - 30.06.2021)

Courses (Selection)complete list

  1. Mathematisches Computerpraktikum (Blockkurs) (Wintersemester 2023/2024)
  1. Übungen Introduction to Nonlinear Optimization, Optimal Control and Optimal Feedback Control (Wintersemester 2023/2024)
  2. Übungen Digital Optimal Control and Optimal Feedback Control (Sommersemester 2023)
  3. Übungen Mathematik für Maschinenbau und Verfahrenstechnik (Wintersemester 2022/2023)
  4. Übungen Mathematik 1b für Produktionstechniker und Wirtschaftsingenieure (Sommersemester 2022)
  5. Übungen Numerik 1 (Wintersemester 2021/2022)

Theses (Selection)complete list

  1. Dynamische Parameteridentifikation mittels simultaner Datenregression und Gradientenvergleich (Sally Schiewelbein)
  2. Parameteridentifikation dynamischer System mittels eines Single-Shooting-Homotopieansatzes (Petr Shulpyakov)
  3. Analyse des Einflusses von Messdaten auf die Parameter eines Schiffsmodells mittels parametrischer Sensitivitäten (Tim Schnauder)

Publications (Selection)complete list

  1. M. Wiesner, C. Büskens.
    Benchmarking solution methods for parameter identification in dynamical systems.
    PAMM, Proceedings in Applied Mathematics and Mechanics, e202300134 , Wiley, 2023.

    online at: https://doi.org/10.1002/pamm.202300134

  2. 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