MIMO Adaptive Control System for Human Arterial Blood Pressure by Drug

摘要

This paper presents modeling and simulation of a multi-input multi-output (MIMO) adaptive control system (ACS) for human arterial blood pressure (HABP) by multiple drug inputs -infusion speed (IS) control of inotropic agent (IA) and vasoactive agent (VA). The MIMO ACS is able to choose the most appropriate IS of IA and VA at good IS in order to maintain the aortic pressure (AOP) and central vain pressure (CAP) at desired levels, and at the same time to increase the cardiac output (CO).This ACS simulation consists of 3 parts: the system model (SM), the identifier (ID), and the explicit multivariable self-turning controller (MSC). The SM is a 2-input 2-output bilinear model with nonwhite system noise. The variable ID is capable of estimating the variable onset delay model (BNVD). The ID is capable of estimating the variable onset delay online by compressing the value in gaining the unbiased parameter estimation with an improved generalized least-squares (LS) algorithm. The MSC employs the minimum variance one-step-ahead control law. These three parts make a closed-loop control system successfully for heart disease patients during and after the operation.