Multiple Model Predictive Control of Hemodynamic Variables: An Experimental Study

* Author to whom all correspondence should be addressed. Abstract-A multiple model predictive controller is designed to regulate mean arterial pressure and cardiac output in critical care subjects using inotropic and vasoactive drugs. The algorithm uses a multiple model adaptive approach in a model predictive control framework to account for interand intrapatient variability and explicitly handle drug rate constraints. The controller is experimentally evaluated on canines that are pharmacologically altered to exhibit symptoms of hypertension and depressed cardiac output.