Simplified architecture of a neurofuzzy controller applied on industrial systems for fluid flow control
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Data
2000-01-01
Autores
Bordon, M. E.
Da Silva, I. N.
De Souza, A. N.
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Editor
Institute of Electrical and Electronics Engineers (IEEE)
Resumo
This work presents a simplified architecture of a neurofuzzy controller for general purpose applications that tries to minimize the processing used in the several stages of hazy modeling of systems. The basic procedures of fuzzification and defuzzification are simplified to the maximum while the inference procedures are computed in a private way. The simplified architecture allows a fast and easy configuration of the neurofuzzy controller and the structuring rules that define the control actions is automatic. Th controller's Limits and performance are standardized and the control actions are previously calculated. For application, the industrial systems of fluid flow control will be considered.
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Palavras-chave
fuzzy logic, fuzzy controller, neurofuzzy system, fluid flow control
Como citar
Proceedings of the 2000 IEEE International Symposium on Intelligent Control. New York: IEEE, p. 61-66, 2000.