Fuzzy-Tuned System Ident. & Control with Gradient Descent
Versión 1.1.0 (106 KB) por
Farrukh Nagi
Sugeno fuzzy-tuned system Identification and control with gradient descent method without Matlab fuzzy toolbox commands.
Sugeno fuzzy-tuned system Identification and control with the gradient descent method [ H. Nomura,etal, 1991] is demonstrated in the examples. Stochastic and Batch gradient descent methods are used in the code. Gaussian function MFs are used with 25 and 49 rules. No matlab fuzzy toolbox commands are used to make the code convenient for conversion to other languages.
Note: If new system is to be identified or control the Gradient parameters are to be redefined.
Report any error or omission.
Citar como
Farrukh Nagi (2024). Fuzzy-Tuned System Ident. & Control with Gradient Descent (https://www.mathworks.com/matlabcentral/fileexchange/157391-fuzzy-tuned-system-ident-control-with-gradient-descent), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Se creó con
R2021a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS LinuxEtiquetas
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.