Publikationen der AG Optimierung und Optimale Steuerung

Zeitschriftenartikel (4)

1. X. Li, S. Patel, C. Büskens.
   Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework.
   , 11th International Conference on Automation, Robotics, and Applications (ICARA) , IEEE, 2025.

   DOI: 10.1109/ICARA64554.2025.10977698

2. B. Greve, N. Ahmed, M. Knauer, C. Wanigasekara, F. Sill Torres.
   Optimal Control of Maritime Container Terminal Operations for Effective Utilization of Resources.
   IEEE Transactions on Intelligent Transportation Systems, :1-16, 2025.

   DOI: 10.1109/TITS.2025.3555812

3. L. Kappertz, C. Büskens.
   Physics-Based Modelling of a Milk Cooling System for Intelligent Energy Management.
   Anwendungen und Konzepte in der Wirtschaftsinformatik (AKWI), 20, Open Source Veröffentlichungssystem, 2025.

   DOI: 10.26034/lu.akwi.2024.6231

4. M. Wiesner, K. Schäfer, P. Shulpyakov, C. Büskens.
   TOPAS Model Fitting: A Tool for Parameter Identification of Dynamical Systems.
   Operations Research Proceedings 2023, Conference paper , pp 201–207, Springer Nature Switzerland, 2025.

   DOI: doi.org/10.1007/978-3-031-58405-3_26

Tagungsbeiträge (1)

1. S. Schettino, L. Liebig, M. Wiesner, S. Patel, C. Büskens.
   Online Parameter Identification for Dynamical Modeling of an Autonomous Catamaran.
   IEEE Xplore, 16.06.-19.06.2025, Brest, Frankreich, .
   OCEANS, IEEE, 2025.

   DOI: 10.1109/OCEANS58557.2025.11104494

Qualifikationsarbeiten (2)

1. C. Meerpohl.
   Autonome robotische Exploration mittels Strategien der nichtlinearen Optimierung.
   Dissertationsschrift, Universität Bremen, 2025.

   DOI: 10.26092/elib/4110

2. E. Dierkes.
   On Learning Hamiltonian Systems using Machine Learning with Focus on System Symmetry Preservation.
   Dissertationsschrift, Universität Bremen, 2025.

   DOI: 10.26092/elib/4539