Curriculum Vitae

Born in 1988 in Heidelberg. In 2008, start of studies of electrical engineering and information technology at Karlsruhe Institute of Technology (KIT). In 2012, bachelor’s thesis at the Institute of Biomedical Engineering (IBT) on the heart rate’s influence to the repolarization of the human heart. Conferral of the Research Student Award for the bachelor’s thesis. Then, master’s studies of electrical engineering and information technology at KIT with a specialization in systems theory, control technology, and signal processing. Research into the analysis of time series using methods of financial mathematics. Supervision of various courses. Practical activities at the ABB Corporate Research Center in Ladenburg. In 2014, master’s thesis at the Institute of Control Systems (IRS) on guaranteed state estimation of non-linear systems. Receipt of the Graduate Award of the SEW-EURODRIVE Foundation.

Since January 2015, member of the scientific staff of IRS.

Private interests: Music, sports, good food and drink.

Research

State estimation for multi-carrier energy distribution systems

Modern energy distribution systems consist of coupled physical domains, such as electricity, gas, and heat. To operate the entire system with a maximum proportion of renewable energies the state of the system (e.g. voltages/currents or pressures/volume flows) have to be known for safe grid operation. For economic reasons, however, it is impossible to equip all substations with sensors to the complete extent.

This research project is aimed at developing methods to estimate the network state based on existing measurement information. For this purpose, the complete system is understood to be a set of dynamic subsystems that interact with generalized potentials e_i and flows f_ij via a graph structure. This system class has a number of interesting properties and has hardly been studied so far. Work focuses on:

Dynamic modeling of renewable energy systems.
Modeling by port-Hamiltonian systems.
Observability of energy distribution systems.
Design of estimation methods for port-Hamiltonian systems.

Teaching

Open Theses
Title	Type

Current Theses
Title	Type	Person in Charge

Publications

2020

Explicit port-Hamiltonian formulation of bond graphs with dependent storages.
Pfeifer, M.; Caspart, S.; Muller, C.; Pfeiffer, S.; Krebs, S.; Hohmann, S.
2020. Proceedings of the 21st IFAC World Congress, International Federation of Automatic Control (IFAC)
Explicit port-Hamiltonian formulation of multi-bond graphs for an automated model generation.
Pfeifer, M.; Caspart, S.; Hampel, S.; Muller, C.; Krebs, S.; Hohmann, S.
2020. Automatica, 120, Art. Nr.: 109121. doi:10.1016/j.automatica.2020.109121
A scalable port-hamiltonian approach to plug-and-play voltage stabilization in DC microgrids.
Strehle, F.; Pfeifer, M.; Malan, A. J.; Krebs, S.; Hohmann, S.
2020
A scalable port-hamiltonian approach to plug-and-play voltage stabilization in DC microgrids.
Strehle, F.; Pfeifer, M.; Malan, A. J.; Krebs, S.; Hohmann, S.
2020. 2020 IEEE Conference on Control Technology and Applications (CCTA), 24-26 August 2020, online, 787–794, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCTA41146.2020.9206323
Bias-free Parameter Identification for Non-Commensurable Fractional Systems.
Stark, O.; Pfeifer, M.; Krebs, S.; Hohmann, S.
2020. 18th European Control Conference, ECC 2020, Saint Petersburg, Russian Federation, 12 - 15 May 2020, 1422–1429, EUCA
Interval Input-State-Output Estimation for Linear Port-Hamiltonian Systems with Application to Power Distribution Systems.
Pfeifer, M.; Krebs, S.; Hofmann, F.; Kupper, M.; Hohmann, S.
2020. 58th IEEE Conference on Decision and Control (CDC), Nice, F, December 11-13, 2019, 3176–3183, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC40024.2019.9029590

2019

Unknown Input Kalman Filtering for Linear Discrete-Time Fractional Order Systems With Direct Feedthrough [in press].
Kupper, M.; Pfeifer, M.; Krebs, S.; Hohmann, S.
2019. European Control Conference (ECC), Naples, Italy, 25–28 June 2019, Institute of Electrical and Electronics Engineers (IEEE)
Automated Generation of Explicit Port-Hamiltonian Models from Multi-Bond Graphs.
Pfeifer, M.; Caspart, S.; Pfeiffer, S.; Muller, C.; Krebs, S.; Hohmann, S.
2019. doi:10.5445/IR/1000104388
AMOTO: Automatic MOdeling TOol for the Port-Hamiltonian Formulation of Bond Graphs.
Pfeiffer, S.; Muller, C.; Pfeifer, M.; Caspart, S.; Krebs, S.; Hohmann, S.
2019. VDI/VDE GMA-Fachausschuss 1.30 „Modellbildung, Identifikation und Simulation in der Automatisierungstechnik“. Tagung (2019), Anif, Austria, September 25–27, 2019
Explicit Port-Hamiltonian Formulation of Bond Graphs.
Pfeifer, M.; Pfeiffer, S.; Caspart, S.; Muller, C.; Krebs, S.; Hohmann, S.
2019. GMA-Fachausschuss 1.30 „Modellbildung, Identifikation und Simulation in der Automatisierungstechnik“, Anif, A, 25.-27. September 2019, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik
Unknown input kalman filtering for linear discrete-time fractional order systems with direct feedthrough.
Kupper, M.; Pfeifer, M.; Krebs, S.; Hohmann, S.
2019. 2019 18th European Control Conference (ECC), Napoli, Italy, June 25-28, 2019, 1848–1853, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/ECC.2019.8795817
A Scalable Port-Hamiltonian Approach to Plug-and-Play Voltage Stabilization in DC Microgrids [submitted].
Strehle, F.; Pfeifer, M.; Krebs, S.; Hohmann, S.
2019. IFAC-PapersOnLine [submitted]

2018

Weighted Least Squares State Estimation for Coupled Power and Gas Distribution Networks.
Pfeifer, M.; Zimmerlin, M.; Schwarzendorfer, M.; Sauter, P.; Krebs, S.; Leibfried, T.; Hohmann, S.
2018. 53rd International Universities Power Engineering Conference, Glasgow, Scotland, 4th-7th September 2018, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/UPEC.2018.8542013
Full- and Reduced-Order State-Space Modeling of Wind Turbine Systems with Permanent Magnet Synchronous Generator.
Hackl, C.; Jané-Soneira, P.; Pfeifer, M.; Schechner, K.; Hohmann, S.
2018. Energies, 11 (7), 1809. doi:10.3390/en11071809
Towards Port-Hamiltonian Modeling of Multi-Carrier Energy Systems: A Case Study for a Coupled Electricity and Gas Distribution System.
Strehle, F.; Pfeifer, M.; Kölsch, L.; Degünther, C.; Ruf, J.; Andresen, L.; Hohmann, S.
2018. IFAC-PapersOnLine, 51 (2), 463–468. doi:10.1016/j.ifacol.2018.03.078

2017

Graph-theoretic Model for Observability in Multi-carrier Energy Distribution Networks (MEDNs).
Hohmann, S.; Maaß, H.; Mieth, C.; Pfeifer, M.; Wagner, D.; Wegner, F.
2017, September 11. 3rd Scientific Storage and Cross-linked Infrastructures - Meeting (SCI 2017), Karlsruhe, Germany, September 11–12, 2017
Neural Network-based Load Forecasting in Distribution Grids for Predictive Energy Management Systems.
Sauter, P.; Karg, P.; Pfeifer, M.; Kluwe, M.; Zimmerlin, M.; Leibfried, T.; Hohmann, S.
2017. Die Energiewende : Blueprints for the New Energy Age, Proceedings of the International ETG Congress 2017, World Conference Center, Bonn, 28th - 29th November 2017, 13–18, VDE Verlag
Poster abstract: graph-theoretic model for observability in multi-carrier energy distribution networks.
Hohmann, S.; Maaß, H.; Mieth, C.; Pfeifer, M.; Wagner, D.; Wegner, F.
2017. Computer science - research and development, 33 (1-2), 237–239. doi:10.1007/s00450-017-0366-3

2016

Interval Observer for LPV Systems Based on Time-Variant Transformations.
Krebs, S.; Pfeifer, M.; Fugel, S.; Weigold, J.; Hohmann, S.
2016. 55th IEEE Conference on Decision and Control (CDC), December 12-14, 2016, Las Vegas, NV, USA, 4090–4096, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CDC.2016.7798889
Reduced-order hybrid interval observer for verified state estimation of an induction machine.
Krebs, S.; Schnurr, C.; Pfeifer, M.; Weigold, J.; Hohmann, S.
2016. Control engineering practice, 57, 157–168. doi:10.1016/j.conengprac.2016.09.004

2015

Rule-based PI controller autotuning for drive systems.
Pfeifer, M.; Weickert, T.; Klose, S.
2015. 2015 European Control Conference (ECC 2015) : Linz, Austria, 15 - 17 July 2015, 672–677, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ECC.2015.7330619

2013

A general approach for dynamic modeling of physiological time series.
Pfeifer, M.; Lenis, G.; Dössel, O.
2013. Biomedizinische Technik. Biomedical Engineering, 58 (Suppl. 1). doi:10.1515/bmt-2013-4169