Prof. Dr. Christof Büskens

Research Areas

• Optimization
• Optimal control
• Feedback Control
• Identification of Parameters
• Dynamic Systems
• Real-Time Systems
• Industrial Mathematics
• Scientific Computing

Leader of Projects

1. BESTVILLE (01.04.2024 - 31.03.2025)
2. Safety Control Center: Safety Control Center for a Galileo-based traffic scenario for autonomous shuttle buses (02.01.2023 - 30.06.2025)
3. iMarEx: Intelligente Maritime Exploration (01.09.2022 - 31.08.2025)
4. MUTIG-VORAN - Multiple transport processes in Galileo-based traffic scenarios using optimisation methods for real applications (01.01.2022 - 30.06.2025)
5. FAST-CAST 2 - AI-based evaluation of earth observation data and weather model forecasts to generate optimal ship routes in polar waters (01.11.2021 - 30.04.2025)
6. StartNOW- AI algorithms for autonomous lawn movers (01.08.2021 - 31.05.2022)
7. SmartFarm2 (01.02.2021 - 31.08.2024)
8. NeXaTauto - Holistic conception, field-based practical testing and validation of autonomous work processes in crop production (01.09.2020 - 31.12.2024)
9. HVDC-MMC_with_MPC: A new method for reducing the power dissipation of MMC high-voltage converters using MPC (01.07.2020 - 30.06.2023)
10. DiSCO₂-Bremen: Data-based and intelligent simulation of traffic for CO₂ reduction in Bremen (01.07.2020 - 31.12.2022)

Courses (Selection)complete list

1. Reading Course Numerical Analysis (Wintersemester 2024/2025)
2. Numerik 1 (Wintersemester 2024/2025)
3. Reading Course Numerical Analysis (Sommersemester 2024)
4. Digital Optimal Control and Optimal Feedback Control (Sommersemester 2024)
5. Introduction to Nonlinear Optimization, Optimal Control and Optimal Feedback Control (Wintersemester 2023/2024)

betreute/begutachtete Dissertationen (Selection)complete list

1. Evolutionary neural architecture search for the task of road traffic prediction (Daniel Klosa)
2. Online Parameter Identification for Optimal Feedback Control of Nonlinear Dynamical Systems (Margareta Runge)
3. Decomposition Methods for Parameter Identification and Bilevel Programming (Kai Schäfer)
4. Adaptive Bewegungsplanung für taktische Entscheidungen autonomer Fahrzeuge im urbanen Umfeld: Der generische Hybrid A* (Andreas Folkers)
5. Optimization-Based Reachability Analysis for Landing Scenarios (Kai Wah Chan)

Theses (Selection)complete list

1. Optimale Trajektorienberechnung für landwirtschaftliche Wendemanöver (Simon von Usslar)
2. Echtzeitbasierte Lokalisierung von Robotern in Innenbereichen unter Verwendung von Lidar-SLAM (Charif Safia)
3. Optimierung der Fahrtrouten und Kühlprozesse von Gas-Tankern unter Berücksichtigung der Meeresströmung (Mariam Al-Osman)
4. Numerische Lösung von Optimalsteuerungsproblemen mit Bereitstellung der Struktur und den Werten der analytischen Hesse-Matrix (Maximilian Zirpel)
5. Optimale Steuerung eines vierrädrig gelenkten Fahrzeugs (Carl Wölper)

Publications (Selection)complete list

1. 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

2. 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

3. 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

4. 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

5. 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