Reduced Order Modeling Support Package (Beta)

Version 3.1 (139 Mo) par Alec Stothert
Create reduced order models of Simulink models or subsystems, including subsystems that integrate high-fidelity 3rd party tools.
5.0
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Mise à jour 21 mars 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.

Citation pour cette source

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

Compatibilité avec les versions de MATLAB
Créé avec R2023b
Compatible avec les versions R2023b et ultérieures
Plateformes compatibles
Windows macOS Linux
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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

Version Publié le Notes de version
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