Design of control systems for regulation of mean arterial blood pressure of hypertension patients

Abstract

It is known that postoperative hypertension is common in cardiac patients and untreated hypertension patients may result in complications. This thesis mainly presents a fuzzy logic multiple-model adaptive control system for postoperative blood pressure management. Multiple-model adaptive control (MMAC) algorithm is used to identify the patient model, and it is a feasible system identification method even in the presence of large noise. A fuzzy control (FC) method is used to design a controller bank.