Reduced Order Modeling Support Package (Beta)

Versión 3.1 (139 MB) por Alec Stothert
Create reduced order models of Simulink models or subsystems, including subsystems that integrate high-fidelity 3rd party tools.
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Actualizado 21 mar 2025

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Create reduced order models of Simulink models or subsystems, including subsystems that integrate high-fidelity 3rd party tools. Design experiments to simulate a Simulink model and collect data to train a reduced order model. You can also create ROMs using existing time-domain data. Train nonlinear ARX, neural state-space, LSTM, Multi-Layer Perceptron, and Interpolation models.

Citar como

Alec Stothert (2025). Reduced Order Modeling Support Package (Beta) (https://la.mathworks.com/matlabcentral/fileexchange/156364-reduced-order-modeling-support-package-beta), MATLAB Central File Exchange. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2023b
Compatible con cualquier versión desde R2023b
Compatibilidad con las plataformas
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doc/examples

doc/examples/customLibrariesBEV/cylPackParChnlsLumped

doc/src

doc/examples

doc/examples/customLibrariesBEV/cylPackParChnlsLumped

+romapp/+internal/+resources/+html

doc

doc/examples

doc/src

Versión Publicado Notas de la versión
3.1

Added support for importing cell arrays of data after the initial data import and IO definition.
3.0

Add support for importing data and creating ROMs from existing time-domain data.
2.0

- Adds support for creation of time independent reduced order models. Multi-layer perceptron and interpolation models are supported.
- Adds chirp, Sobol sequence, and custom signal options for design of experiments.
- Bug fixes
1.0.03

Name change
1.0.02

Minor example fixes
1.0.01

Minor changes to examples.
1.0