An adaptive fuzzy controller for blood pressure regulation

Abstract

An improved adaptive mechanism suitable for a fuzzy controller is presented. The approach is based on an expert rule base, and the resulting adaptive controller is a knowledge-based object-evaluation fuzzy controller. This control strategy was applied to blood pressure regulation and provided satisfactory performance in simulations. The use of a memory bank for past control history in the adaptive mechanism appears to be an effective way to give the controller benefit from its past experience, providing a rudimentary form of humanlike experience.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>