Prof. Dr. Christof Büskens
Leader of WG Optimization and Optimal ControlMember of the high-profile areas Minds, Media, Machines and MAPEX
Room: NEOS 3050
Email: bueskens@math.uni-bremen.de
Phone: (0421) 218-63861
ORCID iD: 0000-0001-7385-4670
Email: bueskens@math.uni-bremen.de
Phone: (0421) 218-63861
ORCID iD: 0000-0001-7385-4670
Research Areas
- Optimization
- Optimal control
- Feedback Control
- Identification of Parameters
- Dynamic Systems
- Real-Time Systems
- Industrial Mathematics
- Scientific Computing
Leader of Projects
- Safety Control Center: Safety Control Center for a Galileo-based traffic scenario for autonomous shuttle buses (02.01.2023 - 30.04.2025)
- iMarEx: Intelligente Maritime Exploration (01.09.2022 - 31.08.2025)
- MUTIG-VORAN - Multiple transport processes in Galileo-based traffic scenarios using optimisation methods for real applications (01.01.2022 - 31.12.2024)
- 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 - 31.10.2024)
- StartNOW- AI algorithms for autonomous lawn movers (01.08.2021 - 31.05.2022)
- SmartFarm2 (01.02.2021 - 31.08.2024)
- NeXaTauto - Holistic conception, field-based practical testing and validation of autonomous work processes in crop production (01.09.2020 - 31.12.2024)
- DiSCO2-Bremen: Data-based and intelligent simulation of traffic for CO2 reduction in Bremen (01.07.2020 - 31.12.2022)
- 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)
- Int2Grids - Integration of intelligent neighbourhood networks into integrated networks (01.05.2020 - 31.12.2023)
Courses (Selection)
- Numerik 1 (Wintersemester 2024/2025)
- Reading Course Numerical Analysis (Wintersemester 2024/2025)
- Reading Course Numerical Analysis (Sommersemester 2024)
- Digital Optimal Control and Optimal Feedback Control (Sommersemester 2024)
- Introduction to Nonlinear Optimization, Optimal Control and Optimal Feedback Control (Wintersemester 2023/2024)
betreute/begutachtete Dissertationen (Selection)
- Online Parameter Identification for Optimal Feedback Control of Nonlinear Dynamical Systems (Margareta Runge)
- Decomposition Methods for Parameter Identification and Bilevel Programming (Kai Schäfer)
- Adaptive Bewegungsplanung für taktische Entscheidungen autonomer Fahrzeuge im urbanen Umfeld: Der generische Hybrid A* (Andreas Folkers)
- Optimization-Based Reachability Analysis for Landing Scenarios (Kai Wah Chan)
- Use of Parametric Sensitivities for Multi-Objective Optimisation (Arne Berger)
Theses (Selection)
- Optimale Steuerung eines vierrädrig gelenkten Fahrzeugs (Carl Wölper)
- Bayessche Optimierung (Marian Iske)
- Berechnung von Anhaltetrajektorien für das autonome Fahren (Johannes Langhorst)
- Identikation von Kraftwerkszuständen mittels Optimierung von Modellparametern eines realistischen Simulationsmodells (Michael Hohenäcker)
- Modellierung der Leistung einer Windkraftanlage und Optimierung ihrer Dimensionierung (Schoami Bieser)
Publications (Selection)
- 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
- 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, .
- 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
- R. Simonelli, M. Höffmann, S. Patel, C. Büskens.
Optimal Path Tracking: Benchmarking an NMPC for a Wide-Span Autonomous Agricultural Machine.
European Control Conference (ECC) 2023, Bucharest, Romania.
- 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