Maximilian Schäfer



Organisationseinheit


Technische Fakultät
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


Publikationen (Download BibTeX)

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Schäfer, M., Wicke, W., Rabenstein, R., & Schober, R. (2019). Analytical Models for Particle Diffusion and Flow in a Horizontal Cylinder with a Vertical Force. In Proceedings of the IEEE International Conference on Communications (ICC 2019). Shanghai, CN.
Schäfer, M., & Rabenstein, R. (2019). An Analytical Model of Diffusion in a Sphere with Semi-Permeable Boundary. Paper presentation at 4th Workshop on Molecular Communications, Linz, AT.
Schäfer, M., Ruderer, A., & Rabenstein, R. (2019). An Eigenfunction Approach to Parameter Estimation for 1D Diffusion Problems. In Proceedings of the European Control Conference (ECC 19). Neapel, IT.
Schäfer, M., Wicke, W., Grebenstein, L., Strobl, C., Stavracakis Peixoto, R., Kirchner, J.,... Schober, R. (2019). Modeling an Experimental Biological Modulator for Molecular Communications by Electrical Circuits. Paper presentation at 4th Workshop on Molecular Communications, Linz, AT.
Schäfer, M., Werner, M., & Rabenstein, R. (2019). Physical Modeling in Sound Synthesis: Vibrating Plates. In Proceedings of the 26th International Congress on Sound and Vibration (ICSV26). Montreal, CA.
Schäfer, M., Werner, M., & Rabenstein, R. (2019). Physikalische Modellierung schwingender Platten. In Proceedings of the Jahrestagung für Akustik (DAGA). Rostock, DE.
Strobl, C., Schäfer, M., & Rabenstein, R. (2019). System Identification Methods for Refined Fault Detection in LVDC-Microgrids. In Proceedings of the International Conference on DC Microgrids (ICDCM). Matsue, JP.
Schäfer, M., Wicke, W., Rabenstein, R., & Schober, R. (2018). An nD Model for a Cylindrical Diffusion-Advection Problem with an Orthogonal Force Component. Shanghai, CN.
Kram, S., Schäfer, M., & Rabenstein, R. (2018). Approximation of enzyme kinetics for high enzyme concentration by a first order perturbation approach. Journal of Mathematical Chemistry, 56(4), 1153-1183. https://dx.doi.org/10.1007/s10910-017-0848-3
Rabenstein, R., Schäfer, M., Bauer, J., & Strobl, C. (2018). A Wave Digital Kalman Filter Approach for Fault Detection in DC Grids: A Case Study. Florence, IT.

Zuletzt aktualisiert 2017-13-06 um 12:22