Scherpen, Prof. Jacquelien

Jacquelien Scherpen studied Applied Mathematics at the University of Twente, where she also gained her PhD in 1994 with a thesis entitled Balancing for nonlinear systems. She then went on to work at the TU Delft, after which she became Professor of Discrete Technology and Production Automation at the University of Groningen in 2006. Prof. Scherpen has been Director of the Engineering and Technology Institute Groningen since January 2013.
Her research area covers order reduction methods for nonlinear control systems in order to make control design and implementation feasible for complex nonlinear systems. Furthermore, she studies the design of distributed and often nonlinear controllers for complex applications. Examples of such systems can be found in industry, robotics, micro systems, semi-conductors, energy systems, smart grids and space applications.
Scherpen is currently conducting research on more efficient use and distribution of energy. She recently was awarded two NWO grants for projects looking into sustainable energy systems.
In 2020 Scherpen has been appointed as the Captain of Science in the High-Tech Systems and Materials (HTSM) top sector.
Previously in the news

- Jacquelien Scherpen new ‘Captain of Science’
- Jacquelien Scherpen awarded Royal Decorations
- University of Groningen strengthens technological profile with new centre
- NWO allocates € 1.25 million to sustainable energy projects at University of Groningen
- Virtual spring keeps robots in formation
- Hoe weck je stroom? [How to preserve electricity - article in Dutch]
- Robotic fish, cruise control and Johann Bernoulli
- Success of smart grids depends on connecting domains
2023
2022
Mathematical Theory of Networks and Systems, Bayreuth, Germany.
Mathematical Theory of Networks and Systems, Bayreuth, Germany.
Mathematical Theory of Networks and Systems, Bayreuth, Germany.
Mathematical Theory of Networks and Systems, Bayreuth, Germany.
2021
2020
, Berlin, Germany.
, Berlin, Germany.
2019
2018
Last modified: | 30 January 2023 08.33 a.m. |