Expert-system-based fuzzy control of arterial pressure by drug infusion

This paper proposes a new type of fuzzy controller which is based on the general-purpose Fuzzy LOgic Production System shell FLOPS [1, 2, 7, 12, 13]. Human mean arterial pressure was controlled by the proposed fuzzy controller, in digital computer stimulation, by regulating the infusion rate of the drug, sodium nitroprusside. Under nonstationary arterial background pressure noise, mean arterial pressures of different patients with different sensitivities to sodium nitroprusside were controlled satisfactorily. Furthermore, the effects of changing the adjustable parameters of the proposed fuzzy controller on the control results were studied. Finally, the performance of the proposed fuzzy controller was compared to that of a fine-tuned Proportional-Integral (PI) controller by using a first-order linear model.