Institute of Control Systems (IRS)

M. Sc. Martin Pfeifer

  • Karlsruher Institut für Technologie (KIT)
    Campus Süd
    Institut für Regelungs- und Steuerungssysteme
    Geb. 11.20 (Engler-Villa)
    Kaiserstr. 12
    D-76131 Karlsruhe

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.


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.


Open Theses
Title Type