Key result
A Modified Model Reference Adaptive Controller optimized by SSA and GWO algorithms stabilized mean arterial pressure with a settling time below 400s and overshoot below 1 mmHg.
A modified model reference adaptive controller optimized by SSA and GWO algorithms effectively stabilizes mean arterial pressure in a mathematical model of vasoactive drug injection.
Suggests feasibility of optimized adaptive controllers for mean arterial pressure; leaves open clinical efficacy and safety testing.
This paper Presents Modified Model Reference Adaptive Controller (MRAC) to regulate the hight blood pressure. It is based on slate model that repre-sent the mathematical equation that clarifies relationship between blood pressure and vasoactive drug injection. In this work Squirrel Search Algo-rithm (SSA) and Grey Wolf Optimizer (GWO) algorithms are considered to optimize the controller parameters. the results showed that the suggested controller has good performance and stabilize the mean arterial pressure with small settling time (below than 400s) and small overshoot (below than 1 mmHg) with low amount of error.
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HAAMED et al. (2020) studied High blood pressure. Modified Model Reference Adaptive Controller (MRAC) optimized by SSA and GWO was evaluated on Mean arterial pressure stabilization (settling time and overshoot). A Modified Model Reference Adaptive Controller optimized by SSA and GWO algorithms stabilized mean arterial pressure with a settling time below 400s and overshoot below 1 mmHg.
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