Reduced Order Modeling Support Package (Beta)

Version 3.1 (139 MB) von Alec Stothert
Create reduced order models of Simulink models or subsystems, including subsystems that integrate high-fidelity 3rd party tools.
5.0
(3)
1,1K Downloads
Aktualisiert 21. Mär 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.

Zitieren als

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

Kompatibilität der MATLAB-Version
Erstellt mit R2023b
Kompatibel mit R2023b und späteren Versionen
Plattform-Kompatibilität
Windows macOS Linux
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doc/examples

doc/examples/customLibrariesBEV/cylPackParChnlsLumped

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doc/examples/customLibrariesBEV/cylPackParChnlsLumped

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Version Veröffentlicht Versionshinweise
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