Academic Career and Research Areas
Prof. Holzapfel’s (b. 1974) research field is flight system dynamics. His key interests are flight control, trajectory optimization, sensor technology, data fusion and navigation, modeling, simulation and parameter estimation, avionics and safety critical systems. Prof. Holzapfel takes a holistic approach to teaching and fosters close cooperation with a number of small and medium-sized aerospace companies, mainly in Bavaria.
After studying aerospace engineering at TUM and working in flight control, Prof. Holzapfel returned to the Chair of Aeronautical Engineering and Control at TUM to complete his doctorate under Prof. Gottfried Sachs (2004). After that, he spent several years working in the industry (IABG, Ottobrunn) before accepting an invitation from TUM in 2007. Prof. Holzapfel is Associate Fellow of the AIAA and a member of the DGLR.
- AIAA Modeling and Simulation Technologies Conference 2004 - Best Paper Award (2005)
- Willy Messerschmitt Prize of the Messerschmitt Foundation (2004)
- Admission to the Maximilianeum Foundation (1993)
S. A. Raab, J. Zhang, P. Bhardwaj, F. Holzapfel: „Proposal of a unified control strategy for vertical take-off and landing transition aircraft configurations”. Applied Aerodynamics Conference. AIAA-2018-3478. Atlanta Georgia USA.Abstract
R. Tekin, K.S. Erer, F. Holzapfel: „Adaptive impact time control via look-angle shaping under varying velocity”. Journal of Guidance, Control and Dynamics. 2017; Band 40 (12), Seite 3247 - Seite 3255.Abstract
G. Chowdhary, M. Mühlegg, J.P. How, F. Holzapfel: “Concurrent learning adaptive model predictive control”. Advances in Aerospace Guidance, Navigation and Control: Selected Papers of …,2013; Seite 29 – Seite 47.Abstract
F. Peter, M. Leitão, F. Holzapfel: „Adaptive augmentation of a new baseline control architecture for tail-controlled missiles using a nonlinear reference model”. AIAA Guidance, Navigation, and Control Conference. 2012.Abstract
M. Achtelik, T. Bierling, J. Wang, L. Höcht, F. Holzapfel: „Adaptive control of a quadcopter in the presence of large/complete parameter uncertainties”. Infotech@ Aerospace 2011, 1485, AIAA-2011-1485, 2011.Abstract