Why the study?
Does a multivariable model reference adaptive control algorithm effectively maintain MAP and CO using sodium nitroprusside and dopamine in a simulated patient model?
Does a multivariable model reference adaptive control algorithm effectively maintain MAP and CO using sodium nitroprusside and dopamine in a simulated patient model?
A multivariable model reference adaptive control algorithm demonstrates robustness in simulating the simultaneous administration of sodium nitroprusside and dopamine to control blood pressure and cardiac output.
Simulation robustness supports preclinical development of adaptive hemodynamic control; leaves open clinical translation and safety.
Using multiple interacting drugs to control both the mean arterial pressure (MAP) and cardiac output (CO) of patients with different sensitivity to drugs is a challenging task which this paper attempts to address. A multivariable model reference adaptive control (MRAC) algorithm is developed using a two-input, two-output patient model. The control objective is to maintain the homodynamic variables MAP and CO at the normal values by simultaneously administering two drugs; sodium nitroprusside (SNP) and dopamine (DPM). Computer simulations were carried out to investigate the performance of this controller. The results show that the proposed adaptive scheme is robust with respect to disturbances and variations in model parameters.
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Enbiya et al. (2011) studied this question.
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