Control of dynamic systems using fuzzy logic and neural networks
International Journal of Intelligent SystemsPublished 1 January 1993
Ajay M. Patrikar, John D. Provence
Citations17
SJR quartileQ1
SJR score1.14
SNIP1.40
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TL;DR
The use of artificial neural network is proposed for high‐speed processing of rules in fuzzy logic controller (FLC).
Abstract
The use of artificial neural network is proposed for high-speed processing of rules in fuzzy logic controller (FLC). the logic element of an FLC is replaced by a single hidden layer feedforward network. the input and output fuzzy subsets are expressed it of numerical patterns. the network is trained using the back-propagation algori to establish fuzzy associations between the input and output fuzzy subsets. the inference mechanism of the network is compared with that of compositional law of inference. In the proposed implementation of FLC, all the rules are processed in paralle. This implementation has potential for high-speed processing of rules if the network is realized in hardware. the use of neural networks in fuzzy logic self-organizing is also ivestigated. © 1993 John Wiley & Sons, Inc.
Keywords
Computer ScienceEngineering
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