Reduced Order Modeler for MATLAB

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

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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.

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Compatibilité avec les versions de MATLAB

  • Compatible avec les versions R2025b à R2026a

Plateformes compatibles

  • Windows
  • macOS (Apple Silicon)
  • macOS (Intel)
  • Linux