Model Order Reduction

Model Order Reduction

In order to get a deep insight into the underlying process, dynamics, structure or devices, modeling and simulation are unavoidable in many research and application fields. The resulting mathematical models are usually in the form of partial differential equations. To simulate such models, spatial (-time) discretization is necessary, which results in large-scale, complex systems with enormous number of equations. The simulation becomes time-consuming because of the large scale and complexity of the systems.

Developed from well-established mathematical theories and robust numerical algorithms, model order reduction (MOR) has been recognized as an efficient tool for fast simulation.


Model Order Reduction for Battery Models

Model Order Reduction for Battery Models

Funded by: MPI
Funding period: since 12.2019
Contact: Karim Cherifi, Lihong Feng
Adaptive Model Order Reduction for Parametric Nonlinear Systems
Partners: OvGU, Technische Hochschule Bingen
Funded by: MPI
Funding period: since 04.2017
Contact: Sridhar Chellappa, Lihong Feng

<p>Damping Optimization of Mechanical Systems using the Reduced Basis Method</p>
Funded by: MPI
Funding period: since 11.2019
Contact: Jennifer Przybilla, Peter Benner

<span>P2Chem: New mixed-integer optimization methods for efficient synthesis and flexible management from power-to-chemicals processes</span>
Partners: Prof. Dr. Peter Benner (MPI Magdeburg, OVGU), Prof. Dr. Sebastian Sager (OVGU), Prof. Dr. Kai Sundermacher MPI Magdeburg, OVGU)Prof. Dr. Martin Stoll (TU Chemnitz)
Industrial partners:  AVACON und BASF
Funded by: BMBF
Contact: Peter Benner, Lihong Feng, Shaima Monem
Adaptive and data informed model order reduction for optimal control of complex systems
Funded by: MPI
Funding period: since 07/2019

Contact: Carmen Gräßle, Peter Benner 


Concluded Projects

Modellreduktion in der Prozesstechnik, Molekulardynamik-Simulationen
Partners: OvGU, Technische Hochschule Bingen, MPI Leipzig
Funded by:
Funding period:
Cleophas Kweyu

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