Polynomial RST Control for Blood Pressure Regulation

This paper proposes polynomial robust RST control for the regulation of the blood pressure in post cardiac surgery patients. Results using Reinforcement Learning is also presented. Clinical applications require simple and effective controllers. This study´s focus is to show that polynomial robust RST control is suitable for the blood pressure regulation in post cardiac surgery patients. A realistic and detailed model of a hypertensive patient is used, this model offers a drug response (here we use the model of Slate et al. (1980)), a model for an internal reflex of the body (the baroreceptor reflex) and disturbances. We report simulation results obtained by using polynomial robust RST control, because it ensures the tolerance of the system to the structure disturbances of the model, as well as to the inherent approximations. A result obtained with Reinforcement Learning is also presented.