no code implementations • 12 May 2024 • Petar Bevanda, Bas Driessen, Lucian Cristian Iacob, Roland Toth, Stefan Sosnowski, Sandra Hirche
Linearity of Koopman operators and simplicity of their estimators coupled with model-reduction capabilities has lead to their great popularity in applications for learning dynamical systems.
2 code implementations • 14 Dec 2020 • Gerben Izaak Beintema, Roland Toth, Maarten Schoukens
An encoder function, represented by a neural network, is introduced to learn a reconstructability map to estimate the model states from past inputs and outputs.
1 code implementation • 14 Dec 2020 • Gerben Beintema, Roland Toth, Maarten Schoukens
This paper introduces a method that approximates the simulation loss by splitting the data set into multiple independent sections similar to the multiple shooting method.