TY - JOUR ID - TI - OPTIMAL MODEL REFERENCE CONTROLLER BASED ON TWO OPTIMIZATION ALGORITHMS FOR MEAN ARTERIAL PRESSURE AU - Ekhlass H. Karam AU - Rawaa H. Abed PY - VL - IS - Conference proceedings 2020 SP - 116 EP - 125 JO - Journal of Engineering and Sustainable Development (JEASD) مجلة الهندسة والتنمية المستدامة SN - 25200917 25200925 AB - This paper Presents optimal Model Reference Controller (OMRC) to regulate the high blood pressure. It is based on slate model which was adopted by many researchers. In this work Squirrel Search Algorithm (SSA) and Grey Wolf Optimizer (GWO) algorithms are considered to optimize the controller parameters and compare between its results. 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 5 mmHg) with low amount of error.

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