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Research Group Computational Methods in Systems and Control Theory

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Research Group Computational Methods in Systems and Control Theory
(Prof. Dr. Peter Benner)

News

New appointments: Jens Saak selected for the editorial board of MCA


August 03, 2021
MCA LogoCSC Team Leader Dr. Jens Saak has been appointed member of the editorial board of the Journal "Mathematical and Computational Applications".

New appointments: Prof. Peter Benner becomes new member of the CDS Board of Directors


July 22, 2021
Prof. Dr. Peter Benner will join the CDS Board of Directors on August 1, 2021. He replaces Prof. Dr. Rolf Findeisen as a member of the Board of Directors.

Paper: Model Order Reduction for Gas and Energy Networks


July 18, 2021
model reduction error plotIn this work C. Himpe, S. Grundel and P. Benner develop a transient gas network simulation model, test multiple adapted system-theoretic as well as data-driven model reduction algorithms, and compare model-solver-reductor ensembles.

Paper: Structure-preserving interpolation for model reduction of parametric bilinear systems


July 10, 2021
Parametric bilinear interpolationThis paper by P. Benner (CSC), S. Gugercin (VT) and S. W. R. Werner (CSC) extends the framework for structure-preserving interpolation of regular subsystem transfer functions of structured bilinear control systems to the parametric system case. It got published in Automatica, a Journal of IFAC.

Paper: MODEL ORDER REDUCTION METHODS FOR COUPLED MACHINE TOOL MODELS


July 06, 2021
Demonstrator MAXThermal effects are the most dominant source for displacements in machine tools and thus work-piece inaccuracies during the manufacturing process. A promising strategy to meet the ever-increasing accuracy requirements is the use of predictive models for, e.g., parameter and design optimizations or online correction of the thermally induced error at the tool center point (TCP) in the production process. However, these techniques require fast but precise simulations. The need for high model accuracy is in direct contrast to the desired real-time capabilities. Model order reduction (MOR) is an attractive tool to overcome this problem. A modeling toolchain, which is tailored for the effective construction of fast and accurate models is proposed and demonstrated, emphasizing the involved MOR step.

Upcoming seminar talks

Date Speaker(s) Title
24.08.21 Kirandeep Kour TBA
14.12.21 Alexandre Mauroy (University of Namur) Data-driven stability analysis with the Koopman operator


Date Speaker(s) Title
29.09.21 Team (tba) (tba)
20.10.21 Team (tba) (tba)

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Jens Saak, saak@mpi-magdeburg.mpg.de