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Design and implementation of fuzzy controllers for complex systems - case study: a water desalination plant

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3 Author(s)
Jamshidi, M. ; University of New Mexico ; Akbarzadeh, M.-R. ; Kumbla, K.

Two soft computing paradigms for automated learning control of complex systems are briefly de scribed. To illustrate the utility of the paradigms, they are applied to a desalination process and sim ulations are performed. The first paradigm in corporates Genetic Algorithms (GA) in a learn ing scheme to adapt parameters of the fuzzy controller to changing environmental conditions. The second paradigm concentrates on a methodology which uses a Neural Network (NN) to adapt a fuzzy logic controller. Simulation results of fuzzy controllers learned with the aid of these soft computing paradigms are presented.

Published in:

ISAI/IFIS 1996. Mexico-USA Collaboration in Intelligent Systems Technologies. Proceedings

Date of Conference:

15-15 Nov. 1996