Development of a predicitive type-2 neurofuzzy controller

Mose' Galluzzo, Bartolomeo Cosenza

Risultato della ricerca: Otherpeer review

3 Citazioni (Scopus)

Abstract

A controller that combines the main characteristics and advantages of three different control methodologies is proposed for the control of systems with nonlinearities and uncertainties. A neural network predictive control approach is implemented modifying the output of a controller with a fuzzy logic structure that uses type-2 fuzzy sets. Neural networks are also used to optimize the membership function parameters. The proposed controller is tested by simulation for the control of a bioreactor characterized by bifurcation and parameter uncertainty.
Lingua originaleEnglish
Pagine1203-1208
Numero di pagine6
Stato di pubblicazionePublished - 2009

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)

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