Automatic control of the crossflow microfiltration process using fuzzy logic
References (18)
- et al.
Dynamic modeling of crossflow microfiltration using neural networks
J. Membrane Sci.
(1995) - et al.
Computer control of a crossflow microfiltration pilot plant
- et al.
Influence of start-up procedure on crossflow microfiltration of raw cane sugar
J. Food Eng.
(1995) - et al.
An experiment in linguistic synthesis with a fuzzy controller
Int. J. Man-Machine Studies
(1975) Industrial utilization of membranes and membranes processes
Membrane technology in food and bioprocessing
L'utilisation de la microfiltration tangentielle dans le traitement des liquides alimentaires
Process
(1990)Aspects Fénéraux de la Commande Floue — Typologie des Contrôleurs Flous
There are more references available in the full text version of this article.
Cited by (4)
Advanced control of membrane fouling in filtration systems using artificial intelligence and machine learning techniques: A critical review
2019, Process Safety and Environmental ProtectionCitation Excerpt :Defuzzification is the last step of the fuzzy system to obtain a final crisp output and is performed according to the MFs of the output variable. FL has been applied in several studies to model membrane fouling and also to develop automated systems for the better control and management of membrane fouling (Perrot et al., 1996; Sargolzaei et al., 2008). Table 2 represents a summary of studies that applied various inference systems and architectures to better control and monitor membrane fouling in different filtration processes.
Influence of operating parameters on separation of green syrup colored matter from sugar beet by ultra-and nanofiltration
2005, Journal of Food Engineering
Copyright © 1996 Published by Elsevier B.V.