Control of a nonsquare drug infusion system: A simulation study.
A model predictive control strategy was developed and tested on a nonlinear canine circulatory model for the regulation of hemodynamic variables under critical care conditions. Different patient conditions such as congestive heart failure, post-operative hypertension, and sepsis shock were studied in closed-loop simulations. The model predictive controller, which uses a different linear model depending on the patient condition, allowed constraints to be explicitly enforced. The controller was initially tuned on the basis of a linear plant model, then tested on the nonlinear physiological model; the simulations demonstrated the ability to handle constraints, such as drug dosage specifications, commonly desired by critical care physicians.
Rao
R R
RR
Department of Anesthesiology, Albany Medical Center, Albany, New York 12208, USA.
Huang
J W
JW
Bequette
B W
BW
Kaufman
H
H
Roy
R J
RJ
D000818:Animals; D001709:Biotechnology; D001794:Blood Pressure; D002302:Cardiac Output; D003422:Critical Care; D004285:Dogs; D016503:Drug Delivery Systems; D006801:Humans; D007263:Infusions, Parenteral; D008954:Models, Biological; D008955:Models, Cardiovascular; D009200:Myocardial Contraction