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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Aktualisiert 13. Jan 2026
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.
Kompatibilität der MATLAB-Version
Erstellt mit R2025b
Kompatibel mit R2025b
Plattform-Kompatibilität
Windows macOS (Apple Silicon) macOS (Intel) Linux
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