Reduced Order Modeling Support Package (Beta)

Version 3.0 (139 MB) by 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
Updated 7 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.

Cite As

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. Retrieved .

MATLAB Release Compatibility
Created with R2023b
Compatible with R2023b and later releases
Platform Compatibility
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 Published Release Notes
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