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Prof. Dr. Steffi Knorn


Technische Universität Berlin
Faculty III - School of Process Sciences and Engineering
Department of Process Engineering
Chair of Measurement and Control

Secr. ER 2-1
Hardenbergstr. 36a
10623 Berlin

office    ER 107
phon    ++49-30-314-23110
fax       ++49-30-314-21129
e-mail  knorn(at)TU-Berlin.DE

Curriculum vitae

Steffi Knorn is professor for control at TU Berlin since February 2021. She studied Systems technology and technical cybernetics (Systemtechnik und technische Kybernetik) in Magdeburg from 2003 to 2008. Following her times as a PhD student at the Hamilton Institute in Maynooth, Ireland, under the supervision of Prof. Richard H. Middleton between 2008 and 2012 she spent two years as a post doctoral researcher at the University of Newcastle in Australia. In 2014 she joined the Signals and Systems group at Uppsala University, Sweden, first as a postdoctoral researcher but was later appointed associate professor. In 2019 she was appointed Juniorprofessor at Otto-von-Guericke University Magdeburg, Germany.

Research Interests

Prof. Knorn’s research deals with various topics and questions from the field of control  as well as from related areas such as signal processing, communication technology and medical technology.

Industry 4.0 and cyber-physical systems

  • In the course of the fourth industrial revolution, the methods and approaches in industry will change fundamentally. The connection of physical systems such as production plants in process engineering and cyber systems such as communication networks for the exchange of information form cyber-physical systems. For example, more and more information is being transmitted wirelessly, which makes it necessary to adapt and expand existing automation systems. At the same time, through the use of additional sensors and the networking of systems, a wealth of data is available that can be used to improve the safety and effectiveness of the systems.

Scalability of multi-agent systems

  • Multi-agent systems can be found in many areas and forms in a variety of technical applications and will become even more important in the future. They often arise from the networking of different technical systems. It is important that the resulting multi-agent system is scalable. This means that it fulfills the required tasks and important minimum requirements, although the size and / or the structure of the system change fundamentally in some cases. An important problem with multi-agent systems is that disruptions or errors that occur in one part of the system must not spread. The effects on other system parts must be kept as small as possible. In our work, we investigate the question of what consequences local errors have on the entire system and whether disturbances spread through the system. This problem is well known in some networks such as vehicle platoons where it is referred to as string stability. In our work, we deal in the broadest sense with the expansion of this concept to general networks and multi-agent systems. 

Medical engineering

  • Concepts from the areas of automation, control engineering and system identification can not only be used to describe and control technical systems, but are also often useful in various areas such as economics, biology and medicine. In our work we develop models to describe and simulate effects observed in medical contexts mathematically by deriving quantitative and dynamical model. This includes understanding and describing physiological as well as psychological data such as emotions and perceptions of pain.


Prof Knorn is currently teaching two courses during the summer semester:

  • Multiagentensysteme (multi-agent systems)
  • Signale und Systeme für Prozesswissenschaften (Signals and Systems for process engineering)

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