Minerva Logo of the MPG

Computational Methods in Systems and Control Theory


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


CSC News: AI-Extension for Mechthild

May 25, 2021
Mechthild, the HPC system of the institute, was extended, to fulfill the requirements of upcoming AI applications, this May. Five new compute nodes equipped with AMD EPYC 7452 CPUs and NVidia Tesla A100 accelerators were installed. Together with the existing GPU nodes, we now provide up to 22 accelerator devices for all kinds of applications ranging from numerical linear algebra and molecular dynamics to the latest AI toolkits. Alongside increasing the computational power of the system, the central storage was doubled to cope with the increased data demands.

Paper: Structure-preserving interpolation of bilinear control systems

May 11, 2021
Structured bilinear interpolationThis paper by P. Benner (CSC), S. Gugercin (VT) and S. W. R. Werner (CSC) provides a framework for structure-preserving interpolation of regular subsystem transfer functions of structured bilinear control systems. It got published in Advances in Computational Mathematics.

Preprint: Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression Approach

May 11, 2021
This work by Pawan Goyal (CSC) and Peter Benner (CSC) combines machine learning (dictionary-based) with a numerical integration scheme, namely a Runge-Kutta scheme to discover governing equations using corrupted and sparsely-sampled data. The method does not require the computation of derivative information to discover governing equations. Hence, it holds a key advantage when data are corrupted and sparsely sampled.

Paper: Learning Reduced order Dynamics for Parametrized Shallow Water Equations from Data

May 10, 2021
This paper by Süleyman Yildiz (METU Ankara), Pawan Goyal (CSC), Peter Benner (CSC), and Bülent Karasözen (METU Ankara) discusses learning reduced models for parameterized shallow water equations using only data. The article is published in International Journal for Numerical Methods in Fluids.

Paper: Frequency- and time-limited balanced truncation for large-scale second-order systems

May 07, 2021
Second-order limited MORThis paper by P. Benner (CSC) and S. W. R. Werner (CSC) extends the frequency- and time-limited balanced truncation methods to second-order systems and describes numerical tools for their application to large-scale sparse systems. It got published in Linear Algebra and its Applications.
more ...

Upcoming seminar talks

Date Speaker(s) Title
15.06.21 Alessandro Alla (PUC-Rio) Recent advances in suboptimal feedback control for PDEs
13.07.21 Michele Martone (LRZ) TBA

Date Speaker(s) Title
14.07.21 Team (MOR) A comprehensive deep learning-based approach to reduced order modeling of nonlinear time-dependent parametrized PDEs (Sridhar)
Deep convolutional recurrent autoencoders for learning low-dimensional feature dynamics of fluid systems (Harshit)
29.09.21 Team (tba) (tba)

©2021, Max Planck Society, Munich
Jens Saak, saak@mpi-magdeburg.mpg.de
10 Juni 2021