Short CV

Research interests:
- Sample-based optimal control of nonlinear systems
- Modeling and parameter identification of robotic applications

Background:
In September 2017, Hannes Homburger received his bachelor's degree in electrical engineering from DHBW Stuttgart. Subsequently, he gained experience working for 2.5 years as a control specialist for machine tool drives at Siemens AG Stuttgart. In September 2021, he graduated with a master's degree in electrical engineering from HTWG Konstanz, where he is now a research assistant at the Institute of System Dynamics. In recent years, Hannes Homburger received several teaching assignments in the field of control engineering at the DHBW Stuttgart and HTWG Konstanz.

Teaching

• 2019 winter semester lecture Control Systems at DHBW Stuttgart
• 2019 winter semester lecture Actuators and Drive Systems at DHBW Stuttgart
• 2021 winter semester lecture Control Systems at DHBW Stuttgart
• 2022 summer semester lecture Control Systems at DHBW Stuttgart
• 2022 winter semester lecture Control Systems at DHBW Stuttgart
• 2023 summer semester lecture Optimal Control with Applications in Robotics at HTWG Konstanz
• 2023 winter semester lecture Control Systems at DHBW Stuttgart
• 2023 winter semester lecture Nonlinear Systems at HTWG Konstanz
• 2024 summer semester lecture Optimal Control with Applications in Robotics at HTWG Konstanz
• 2024 summer semester lecture Control Systems at DHBW Stuttgart

Publications

2024

• Hannes Homburger, Stefan Wirtensohn, Moritz Diehl and Johannes Reuter, "Energy-Optimal Planning and Shrinking Horizon MPC for Vessel Docking in River Current Fields“, accepted to the 22nd European Control Conference (ECC), Stockholm, Sweden, 2024.

2023

• Hannes Homburger, Stefan Wirtensohn and Johannes Reuter, "MPPI Control of a Self-Balancing Vehicle Employing Subordinated Control Loops", in Proceedings of the 21st European Control Conference (ECC), Bucharest, Romania, 2023, [Link].
• Hannes Homburger, Stefan Wirtensohn, Moritz Diehl and Johannes Reuter, "Comparison of Data-Driven Modeling and Identification Approaches for a Self-Balancing Vehicle“, in Proceedings of the 22nd World Congress of the International Federation of Automatic Control, Yokohama, Japan, 2023, [DOI].
• Hannes Homburger, Stefan Wirtensohn and Johannes Reuter, "Efficient Nonlinear Model Predictive Path Integral Control for Stochastic Systems considering Input Constraints", in Proceedings of the 21st European Control Conference (ECC), Bucharest, Romania, 2023, [Link].

2022

• Hannes Homburger, Stefan Wirtensohn and Johannes Reuter, "Docking Control of a Fully-Actuated Autonomous Vessel using Model Predictive Path Integral Control", in Proceedings of the 20th European Control Conference (ECC), London, United Kingdom, 2022, [Link].
• Hannes Homburger, Stefan Wirtensohn and Johannes Reuter, "Swinging Up and Stabilization Control of the Furuta Pendulum using Model Predictive Path Integral Control", in Proceedings of the 30th Mediterranean Conference on Control and Automation (MED), Athens, Greece, 2022, [Link].
• Hannes Homburger, Stefan Wirtensohn, Moritz Diehl and Johannes Reuter, "Feature-Based Proposal Density Optimization for Nonlinear Model Predictive Path Integral Control", in Proceedings of the 6th IEEE Conference on Control Technology and Applications (CCTA), Trieste, Italy, 2022, [Link].
• Hannes Homburger, Stefan Wirtensohn, Moritz Diehl and Johannes Reuter, "Comparison of Advanced Modeling Approaches for Autonomous Docking of Fully Actuated Vessel", in Proceedings of the 14th IFAC Conference on Control Applications in Marine Systems, Robotics and Vehicles (CAMS), Kongens Lyngby, Denmark, 2022, [Link].
• Hannes Homburger, Stefan Wirtensohn, Moritz Diehl and Johannes Reuter, "Feature-Based MPPI Control with Applications to Maritime Systems". Machines 2022, 10, 900. [doi].

2021

• Stefan Wirtensohn, Oliver Hamburger, Hannes Homburger, Leticia Mayumi Kinjo, Johannes Reuter. Comparison of Advanced Control Strategies for Automated Docking. 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (IFAC CAMS 2021), Oldenburg, Germany, 2021.