Fuzzy Control with Genetic Algorithm
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Graphical Abstract
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Abstract
This paper proposes an auto-adaptive fuzzy control algorithm that integrates the traditional fuzzy control methods with genetic algorithm optimizing the parameter-codes of fuzzy membership functions. The alforithm implements online adjustment of fuzzy control rules. The efficiency and flexibility of the algorithm have been shown by physical experiments.
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