System Identification using GA with a GUI interface
This code identifies an ARX model of a system using Genetic Algorithms method in a GUI interfcae and compares the identified model with the model generated using the Least Error method.
The real system O/P, GA model generated O/p and Least Error model O/P are all compared in a single plot, while the Sum of Absolute Error is calculated and displayed for both models for comparison.
GA parameters are initialized with default parameters, but could easily be modified from the GUI interface.
The GUI is initialized with a ready I/P and O/P data and ARX orders as well, so you can hit "Estimate Model" to test the code without having to generate I/O data. (you can replace this data with your own)
Citation pour cette source
Sam Elshamy (2026). System Identification using GA with a GUI interface (https://fr.mathworks.com/matlabcentral/fileexchange/11577-system-identification-using-ga-with-a-gui-interface), MATLAB Central File Exchange. Extrait(e) le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- Verification, Validation, and Test >
- Control Systems > System Identification Toolbox > Linear Model Identification >
- Mathematics and Optimization > Global Optimization Toolbox > Genetic Algorithm >
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| Version | Publié le | Notes de version | |
|---|---|---|---|
| 1.2 | Now available in Toolbox format. |
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| 1.0.0.0 | Missing file added |
