On the design and performance evaluation of adaptive fuzzy controllers

An automated design technique to optimize membership functions for a fuzzy controller numerically is discussed. The technique is applied to the design of a fuzzy controller for regulating mean aerial blood pressure in a noisy environment (e.g. during surgery or while a patient is being treated in the ICU). The result is extended to construct an adaptive fuzzy controller, and its performance is evaluated through simulation.<<ETX>>

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