6533b829fe1ef96bd128a830

RESEARCH PRODUCT

Development of a predicitive type-2 neurofuzzy controller

Bartolomeo CosenzaMose' Galluzzo

subject

Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciPredictive control Type-2 fuzzy logic systems Neurofuzzy control

description

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.

10.3303/cet0917201http://hdl.handle.net/10447/57359