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Identificazione e controllo di sistemi non lineari con modelli fuzzy

Identificazione e controllo di sistemi non lineari con modelli fuzzy

Meena Tushir / Sunil Gupta

47,27 €
IVA incluido
Disponible
Editorial:
KS OmniScriptum Publishing
Año de edición:
2024
Materia
Tecnología: cuestiones generales
ISBN:
9786203592412
47,27 €
IVA incluido
Disponible

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Sobre IBD

Questo libro presenta un lavoro di ricerca sull’identificazione e il controllo di sistemi non lineari basato sull’approccio dei modelli fuzzy. Un modello fuzzy TS è stato implementato con successo su un problema noto di identificazione di dati di impianti non lineari. Per la classificazione dei punti dati di ingresso e uscita è stato utilizzato un approccio basato sul clustering FCM. Dopo la clusterizzazione, il metodo di discesa del gradiente è stato utilizzato per l’apprendimento dei parametri. È stato inoltre implementato su un problema di dati reali, ovvero un modello di controllo di un impianto chimico da parte di un operatore, e l’accuratezza è risultata paragonabile ai risultati riportati in letteratura. L’intero sistema è stato modellato utilizzando MATLAB 7.0/Simulink toolbox.

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Otros libros del autor

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