Reduced Order Modeling Support Package (Beta)

Create reduced order models of Simulink models or subsystems, including subsystems that integrate high-fidelity 3rd party tools.

バージョン 3.1.3 (139 MB)
ダウンロード: 2.6K 件
(4)
2026/1/15

現在この提出コンテンツをフォロー中です。

Note that from MATLAB release R2025b Update 3 onward this support package has been replaced by Reduced Order Modeler for MATLAB, use that link to download the most up-to-date and maintained version.
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.

引用

Alec Stothert (2026). Reduced Order Modeling Support Package (Beta) (https://jp.mathworks.com/matlabcentral/fileexchange/156364-reduced-order-modeling-support-package-beta), MATLAB Central File Exchange. に取得済み.

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一般的な情報

MATLAB リリースの互換性

  • R2023b 以降のリリースと互換性あり

プラットフォームの互換性

  • Windows
  • macOS
  • Linux
バージョン 公開済み リリース ノート
3.1.3

Fixed corrupted mltbx file.
3.1.2

Set Compatible with end version to R2025b
3.1.1

Added note that Reduced Order Modeler For MATLAB should be used from R2025b Update 3 onward.
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