6533b829fe1ef96bd128a830
RESEARCH PRODUCT
Development of a predicitive type-2 neurofuzzy controller
Bartolomeo CosenzaMose' Galluzzosubject
Settore ING-IND/26 - Teoria Dello Sviluppo Dei Processi ChimiciPredictive control Type-2 fuzzy logic systems Neurofuzzy controldescription
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.
year | journal | country | edition | language |
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2009-01-01 |