Prof. Dr.-Ing. Daniel Ossmann
Department of Mechanical, Automotive and Aerospace Engineering
Institute for Mobility and Life in Motion – IMM
Munich University of Applied Sciences HM
Lothstrasse 64, 80335 Munich, R2.070
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Full Professor for Control Systems at the Munich University of Applied Sciences HM
Full Professor for Control Systems at the Munich University of Applied Sciences HM
As Full Professor for Control Systems at Munich University of Applied Sciences, my research focuses on robust control and advanced fault detection, combining model-, data-, and AI-based methods with applications ranging from flight to energy systems. My expertise spans LTI, LPV, and LTV systems, including system identification and safety-critical control for emerging technologies like Urban Air Mobility.
Theoretical research interests:
Advanced Fault Detection & Isolation methods, specifically mixing model-based, data-based and knowledge-based (aka AI-based) methods
Robust Control methods for LTI, LPV and LTV systems
System Identification
Applied research interests:
Flight Systems
Fault monitoring and envelope protections
Load reduction and flutter stabilization for modern configurations
Wind estimation and trajectory optimization for UAVs
Firefighting concepts with drones
Safety for modern Urban Air Mobility concepts
System identification of small scale drones
Energy Systems
Structural load reduction for utility-scale wind turbines
Development of small scale-wind turbines
Advanced stability analysis using periodic modelling
LATEST NEWS:
June 2025 (2):
I’m pleased to announce the release of my new MATLAB & Simulink FDI Blockset - a seamless extension to Andreas Varga’s FDI Toolbox for designing FDI filters. This add-on lets you:
Instantly generate Simulink libraries for residual generation, signal evaluation, and decision logic
Use single-line commands to auto-build complete fault detection & isolation (FDI) models
Choose between Narendra-filter and sliding-window evaluation schemes
Apply both strong and weak isolation logic, as well as model-detection workflows
To get started:
Install Andreas Varga’s FDI Toolbox (install FDITOOLS & DSTOOLS Tools).
Download my FDI Blockset (here) and add it to your MATLAB path.
Run the provided Testcases.m script to explore full-workflow examples.
Experience how much faster and more flexible your FDI development becomes when Varga’s synthesis functions are combined with my automated Simulink blockset! In an instant, you can not only implement the generated filters into your simulation models but also automatically enhance them with residual evaluation and decision-making algorithms.
June 2025 (1):
I am happy to announce that two papers of my research group have been presented at this year's European Control Conference in Greece:
B Adolph, P. Seres, D. Ossmann: Topographic Data-Driven GPS Spoofing Detection for Advanced Air Mobility
M Schumann, H. Pfifer, D Ossmann: Nullspace-Based Wind Estimation for Unmanned Aerial Systems
January 2025 (2): Institute for Mobility and Life in Motion goes online: Founded in 2024, the IMM brings together ten professorships from the Faculties of Mechanical, Automotive and Aeronautical Engineering, Electrical Engineering and Information Technology as well as Design. Thanks to this interdisciplinary collaboration, the IMM develop mobility solutions that put people at the centre. With expertise ranging from vehicle dynamics and acoustics to accident research and design, we create pioneering approaches for the mobility of tomorrow - safe, sustainable and progressive.
January 2025 (1): Four AIAA SciTech papers have been successfully presented and published at this year's AIAA SciTech conference in Orlando, Florida:
J Frey, D Noelle, H Pfifer, D Ossmann: In-Situ Calibration of Four-Hole Pressure Probes on a Small UAV for Free Flight Measurement
S Wisbacher, D Ossmann, S Schubert, J Frey, H Pfifer: Wind Tunnel Based System Identification of a Small Unmanned Aircraft System
T Augustin, D Ossmann: Multi-Mode Control enabling optimized Unmanned Aerial Vehicle Firefighting Performance
M Schumann, M Wüstenhagen, M Pusch, D Ossmann: Model Predictive Gust Load Alleviation Control for Flexible Aircraft
January 2024: I am pleased to inform that we are kicking-off three new projects in the area of flight control:
EndeAR - Energy-efficient, data-driven UAS trajectory planning, 200k€ funded by the Federal Ministry of Digital and Transport on estimating wind fileds n busy drones routes together with TU Dresden.
AIDER - Artificial Intelligence in Disaster Relief, 800k€ funded by the Bavarian Ministry of Economic Affairs, Regional Development and Energy on the development on drones for firefighting purposes together with TUM, EDM, Avilus.
AUDEKI: Automated Flight Guidance using AI for Urban air Mobility, 750k€ funded by the Bavarian Ministry of Economic Affairs, Regional Development and Energy together with AutoFlight.
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