International Journal For Multidisciplinary Research

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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An Adaptive Fuzzy Logic Controller that Learns by Developing Its Knowledge Base

Author(s) Dr. Rekha
Country India
Abstract Fuzzy logic control (FLC) is the most active research area in the application of fuzzy set theory, fuzzy reasoning, and fuzzy logic. The application of FLC extends from industrial process control to biomedical instrumentation and securities. Compared to conventional control techniques, FLC has been best utilized in complex ill-defined problems, which can be controlled by an efficient human operator without knowledge of their underlying dynamics.
Keywords fuzzy logic control genetic fuzzy systems genetic algorithms learning
Field Engineering
Published In Volume 4, Issue 5, September-October 2022
Published On 2022-09-15
Cite This An Adaptive Fuzzy Logic Controller that Learns by Developing Its Knowledge Base - Dr. Rekha - IJFMR Volume 4, Issue 5, September-October 2022.

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