Multirate

Highly integrated electric cicuits show a phenomenon called latency. That is, a processed signal causes activity only in a small subset of the whole circuit (imagine a central processing unit), whereas the other part of the system behaves almost constant over some time - is latent. Such an electric system can be described as coupled system, where the waveforms show different time scales, also refered to as multirate.
More generally, any coupled problem formulation due to coupled physical effects, may cause a multirate problem: image the simulation of car driving on the road, there you need a model for the wheel, the chassis, the dampers, the road,... (cf. co-simulation). Again each system is covered by their own time constant, which might vary over several orders of magnitude comparing different subsystems.
Classical methods cannot exploit this multirate potential, but resolve everything on the finest scale. This causes an over sampling of the latent components. In constrast, Co-simulation or especially dedicated multirate methods are designed to use the inherent step size to resolve the time-domain behaviour of each subystem with the required accuracy. This requires a time-stepping for each.
Group members working in that field
- Andreas Bartel
- Michael Günther
Former and ongoing Projects
Cooperations
- Herbert de Gersem, K.U. Leuven, Belgium
- Jan ter Maten, TU Eindhoven and NXP, the Netherlands
Publications
- 2025
5400.
Kiesling, Elisabeth
Unterrichtsmaterial Kreislaufwirtschaft - Den Kreislauf in Schwung bringen: Arbeitsblatt: 2.4 Carbon Capture and Stoage und Experiment: 2.5 Modellversuch zur Speicherung von Kohlenstoffdioxid in Kohleflözen
In Dr. Karl Hübner, Prof. Dr. Bernd Ralle, Editor
Herausgeber: Fonds der Chemischen Industrie im Verband der Chemischen Industrie e. V. (FCI)
April 20255399.
[german] Kiesling, Elisabeth; Bohrmann-Linde, Claudia
Von der Leitlinie BNE zum bilingual-englischen Schülerlabor- Konzeption, Erprobung und Evaluation einer bilingualen Experimentierumgebung im Fach Chemie zum Thema Carbon Capture and Storage
In Andreas Keil, Annika Hanau und Julian Dietze (Hg.): BNE in der Lehrkräftebildung. Erkenntnisse aus Forschung und Praxis., Editor, BNE in der Lehrkräftebildung - Erkenntnisse aus Forschung und Praxis
Seite 327-344
Herausgeber: Waxmann
Mai 2025
327-344ISBN: 978-3-8188-0035-2
5398.
Elghazi, Bouchra; Jacob, Birgit; Zwart, Hans
Well-posedness of a class of infinite-dimensional port-Hamiltonian systems with boundary control and observation
Januar 20255397.
Testa, Filippo
Well-Posedness of the Hodge Wave Equation on a Compact Manifold
20255396.
Acu, A.M.; Heilmann, Margareta; Raşa, I.
Convergence of linking Durrmeyer type modifications of generalized Baskatov operators
Bulleting of the Malaysian Math. Sciences Society5395.
Ehrhardt, Matthias
Ein einfaches Kompartment-Modell zur Beschreibung von Revolutionen am Beispiel des Arabischen Frühlings5394.
Günther, Michael
Einführung in die Finanzmathematik5393.
Al{\i}, G; Bartel, A
Electrical RLC networks and diodes5392.
Gjonaj, Erion; Bahls, Christian Rüdiger; Bandlow, Bastian; Bartel, Andreas; Baumanns, Sascha; Belzen, F; Benderskaya, Galina; Benner, Peter; Beurden, MC; Blaszczyk, Andreas; others
Feldmann, Uwe, 143 Feng, Lihong, 515 De Gersem, Herbert, 341 Gim, Sebasti{\'a}n, 45, 333
MATHEMATICS IN INDUSTRY 14 :5875391.
Ehrhardt, Matthias
für Angewandte Analysis und Stochastik5390.
Ehrhardt, Matthias; Günther, Michael; Striebel, Michael
Geometric Numerical Integration Structure-Preserving Algorithms for Lattice QCD Simulations5389.
High order tensor product interpolation in the Combination Technique
preprint, 14 :255388.
Hendricks, Christian; Ehrhardt, Matthias; Günther, Michael
Hybrid finite difference/pseudospectral methods for stochastic volatility models
19th European Conference on Mathematics for Industry, Seite 3885387.
Ehrhardt, Matthias; Csomós, Petra; Faragó, István; others
Invited Papers5386.
Günther, Michael
Lab Exercises for Numerical Analysis and Simulation I: ODEs5385.
Ehrhardt, Matthias; Günther, Michael
Mathematical Modelling of Dengue Fever Epidemics5384.
Ehrhardt, Matthias
Mathematical Modelling of Monkeypox Epidemics5383.
Ehrhardt, Matthias; Günther, Michael
Mathematical Study of Grossman's model of investment in health capital5382.
Bartel, PD Dr A
Mathematische Modellierung in Anwendungen5381.
Model Order Reduction Techniques for Basket Option Pricing5380.
Ehrhardt, Matthias; Günther, Michael
Modelling Stochastic Correlations in Finance5379.
Ehrhardt, Matthias; Günther, Michael; Jacob, Birgit; Maten, Jan
Modelling, Analysis and Simulation with Port-Hamiltonian Systems5378.
Maten, E Jan W; Ehrhardt, Matthias
MS40: Computational methods for finance and energy markets
19th European Conference on Mathematics for Industry, Seite 3775377.
Putek, Piotr; PAPLICKI, Piotr; Pulch, Roland; Maten, Jan; Günther, Michael; PA{\L}KA, Ryszard
NONLINEAR MULTIOBJECTIVE TOPOLOGY OPTIMIZATION AND MULTIPHYSICS ANALYSIS OF A PERMANENT-MAGNET EXCITED SYNCHRONOUS MACHINE5376.
Günther, Michael; Wandelt, Dipl Math Mich{\`e}le
Numerical Analysis and Simulation I: ODEs