Contributions to Control Systems in the winter semester 2016/2017


In order to support the professional exchange in control and automation technology far beyond the borders of our university, some years ago a colloquium series with the name “Contributions to Control Systems” was brought into being at the Institute of Automatic Control. Speakers from industry and research talk about their work in relevant developments and applications in the field of automatic control.



+49 241 80 27500



All parties interested are very welcome.

We would be happy to add you to our corresponding email list. Please contact our office to be added.


Conference room of the IRT, Steinbachstr. 54, 52074 Aachen, Room 54A/202


Monday, January 16, 2017, 4:00pm


Innovations for the next Modelica Generation: modelling, simulation, regulation and optimization based on Julia

Professor Martin Otter

German Centre for Aviation and Space Travel
Institute for System Dynamics und Automatic Control


Friday, February 03, 2017, 10:00am


Operation and Maintenance Lessons Learned from a Parabolic Trough Concentrated Solar Power Plant

Dr. Astrid Hublitz

System AG
91058 Erlangen, Germany



In Concentrated Solar Power Plants, solar radiation is concentrated to a receiver where heat is generated. This heat subsequently generates steam to drive a conventional thermal power plant cycle, generating electricity.

This presentation explains shortly concentrated solar power generation with parabolic trough collectors and focuses on the lessons learned from the operation of a 50 MWel CSP Parabolic Trough Plant in Spain.


Friday, February 10, 2017, 2:00pm


Herausforderungen des Betriebs von Windenergieanlagen

wind turbines Copyright: © RWTH

Dr.-Ing. Kirsten Theobald

innogy SE
Renewable Energies
Research & Development
Essen, Germany


Monday, March 20, 2017, 2:00pm


A Factor Graph Approach to Parameter Identification for Affine LPV Systems

Professor Philipp Rostalski

University of Lübeck
Institute for Electrical Engineering in Medicine
Lübeck, Germany



Factor graphs are a versatile graphical representation of factorizable functions. As a probabilistic graphical

model, they allow to visualize structured conditional independence, which can be exploited for solving inference problems by means of message passing along the nodes of the graph. In this article we present a novel factor graph formulation of the expectation maximization, called EM-based estimation technique for affine linear parameter-varying system identification. By extending the factor graph representation of the Kalman Filter/Smoother and the EM algorithm to parameter-varying matrices, a flexible tool for nonlinear system identification in the so-called linear parameter-varying, named LPV representation is obtained. Furthermore, a recursive reformulation of the algorithm suitable for tracking time-varying changes both accounted and

unaccounted for by a pre-defined LPV system description is immediate from its factor graph-based formulation.