Publications of WG Optimization and Optimal Control

Articles (4)

1. J. Langhorst, K. W. Chan, C. Meerpohl, C. Büskens.
   Computing Safe Stop Trajectories for Autonomous Driving Utilizing Clustering and Parametric Optimization.
   MDPI Open Access Journals Vehicles, 6(2):590-610, 2024.

   online at: https://www.mdpi.com/2624-8921/6/2/27

2. B. Schmitz, C. Eis, H. J. Bünger, C. Büskens.
   Estimation of travel time reduction for ice-breaking ships when considering ice information data.
   Annals of Glaciology, First View :pp. 1 - 11, Cambridge University Press, 2024.

   DOI: 10.1017/aog.2024.28

3. A. Hackenberg, L. Kappertz, S. Rapol, V. Solovievskyi, C. Büskens.
   Optimal dimensioning of renewable energy generation and storage systems.
   Energy Conversion and Management: X, Open access 24, Elsevier, 2024.

   DOI: 10.1016/j.ecmx.2024.100773

4. M. Höffmann, S. Patel, C. Büskens.
   Optimal guidance track generation for precision agriculture: A review of coverage path planning techniques.
   Journal of Field Robotics, Wiley Online Library, , Wiley, 2024.

   DOI: 10.1002/rob.22286

Proceedings (2)

1. E. Dierkes, L. Kappertz, V. Solovievskyi, A. Hackenberg, C. Büskens.
   Optimized Self-Consumption of Renewable Energies With Forecast-Based Energy Management for Agricultural Farms.
   GAMM 94th Annual Meeting of the International Association of Applied Mathematics and Mechanics, 01.12.2024, Magdeburg, Germany.
   

   DOI: 10.1002/pamm.202400068

2. M. Höffmann, S. Roy, C. Wanigasekara, C. Büskens.
   Sensitivity Analysis of Wind Affected Maneuverability of Tugboat-Controlled Ships.
   2024 IEEE SICE International Symposium on Control Systems (SICE ISCS), 18-20 March 2024 , Higashi-Hiroshima, .
   

   DOI: 10.23919/SICEISCS60954.2024.10505760

PhD/Habilitation Thesis (2)

1. D. Klosa.
   Evolutionary neural architecture search for the task of road traffic prediction.
   Dissertationsschrift, Universität Bremen, 2024.

   DOI: 10.26092/elib/3184

2. M. Runge.
   Online parameter identification for optimal feedback control of nonlinear dynamical systems.
   Dissertationsschrift, Universität Bremen, 2024.

   DOI: 10.26092/elib/2743

Preprints (1)

1. X. Li, S. Patel, C. Büskens.
   Let Hybrid A* Path Planner Obey Traffic Rules: A Deep Reinforcement Learning-Based Planning Framework.
   Zur Veröffentlichung eingereicht.

   DOI: 10.48550/arXiv.2407.01216