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Institute of Engineering and Computational Mechanics

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Dominik Hose, M.Sc.

Address Dominik Hose
Institute of Engineering and Computational Mechanics
University of Stuttgart
Pfaffenwaldring 9
70569 Stuttgart, Germany
Office Pfaffenwaldring 9, 4th Floor
Room 4.157
Phone
Fax
+49 711 685-68242
+49 711 685-66400
Email dominik.hose@itm.uni-stuttgart.de (Public PGP-Key)


Field of Research

Publications

published, accepted for publication, submitted for publication
  • Hose, D.; Hanss, M.: On Inverse Fuzzy Arithmetical Problems in Uncertainty Analysis. Proceedings of the 7th International Conference on Uncertainties in Structural Dynamics USD2018, KU Leuven (Belgium), September 2018.

  • Hose, D.; Hanss, M.: Possibilistic Identification of Reliable Finite Impulse Response Models. Proceedings of the 8th International Workshop on Reliable Engineering Computing REC, University of Liverpool (England), July 2018.

  • Hose, D.; Hamann, D.; Hanss, M.; Eberhard, P.: A Data-Driven Possibilistic Approach to the Identification of Uncertain Stability Lobe Diagrams. Proceedings in Applied Mathematics and Mechanics, 2018.

  • Hose, D.; Hanss, M.: Fuzzy Linear Least Squares for the Identification of Possibilistic Regression Models. Fuzzy Sets and Systems, November 2017.

  • de Prada, C.; Hose, D.; Gutierrez, G.; Pitarch J. L.: Developing Grey-Box Dynamic Process Models. Mathmod 2018, 9th Vienna International Conference on Mathematical Modelling (Austria), February 21-23 2018.

  • Hose, D.; Mäck, M.; Hanss, M.: A Possibilistic Approach to the Optimization of Uncertain Systems. Proceedings of the 3rd International Conference on Vulnerability and Risk Analysis and Management, ICVRAM 2018, and the 7th International Symposium on Uncertainty Modeling and Analysis, ISUMA 2018. Florianopolis (Brazil), April 8-11 2018.

  • Mäck, M.; Hose, D.; Hanss, M.: On Using Fuzzy Arithmetic in Optimization Problems with Uncertain Constraints. Proceedings in Applied Mathematics and Mechanics, 31 May 2017.

  • Hose, D.: Investigations on the Optimization of Multibody Systems in the Presence of Uncertainty, Masterarbeit MSC-250. Institut für Technische und Numerische Mechanik, Universität Stuttgart, 2017. (Supervisors: Hanss, M.; Mäck, M.)

  • Hose, D.; de Prada, C.; Gonzalez, G.: Modeling and Identification of ABE Fermentation Processes, Proceedings of XXXVII Jornadas de Automática. Universidad Complutense de Madrid 2016 (Spain). Link (Paper 45)
A Data-Driven Possibilistic Approach to the Identification of Uncertain Stability Lobe Diagrams

Posters

  • Hamann, D.; Hose, D.; Eberhard, P.: Parameter Identification Based on Stability Lobe Diagrams of Machining Processes. SimTech Statusseminar, Bad Boll 2017.

Supervised Student Theses

  • Henrik Schühle: Possibilistic Stability Analysis and Controller Synthesis of a Dynamical System, Master thesis.
    Institute of Engineering and Computational Mechanics , University of Stuttgart, 2017.
    In co-supervision with Andreas Hofmann, M.Sc.

Teaching

Additional Services at the Institute