Reduced Order Modeling Support Package (Beta)

Versione 3.1 (139 MB) da Alec Stothert
Create reduced order models of Simulink models or subsystems, including subsystems that integrate high-fidelity 3rd party tools.
5.0
(4)
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Aggiornato 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.

Cita come

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

Compatibilità della release di MATLAB
Creato con R2023b
Compatibile con R2023b e release successive
Compatibilità della piattaforma
Windows macOS Linux
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doc/examples/customLibrariesBEV/cylPackParChnlsLumped

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doc/examples

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Versione Pubblicato Note della release
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