Self-learning fuzzy controller with a fuzzy supervisor

Through the observation of the learning process of humans, we find punishments and rewards playing a somewhat important role. The judgment of whether the action should be punished or rewarded and the decision of the degree of punishments or rewards are two major problems in such a scheme. We propose a fuzzy rulebase to provide the guiding criterion for the self-learning fuzzy controller to construct its fuzzy control rulebase.

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