Optimal model reference controller based on two optimization algorithms for mean arterial pressure
Joint Authors
Karam, Ikhlas Hamid
Abid, Rawa H.
Source
Journal of Engineering and Sustainable Development
Publisher
al-Mustansyriah University College of Engineering
Publication Date
2020-12-31
Country of Publication
Iraq
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Topics
English Abstract
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.
Data Type
Conference Papers
Record ID
BIM-1263604
American Psychological Association (APA)
Abid, Rawa H.& Karam, Ikhlas Hamid. 2020-12-31. Optimal model reference controller based on two optimization algorithms for mean arterial pressure. . Vol. 24, Special issue (2020), pp.116-125.Baghdad Iraq : al-Mustansyriah University College of Engineering.
https://search.emarefa.net/detail/BIM-1263604
Modern Language Association (MLA)
Abid, Rawa H.& Karam, Ikhlas Hamid. Optimal model reference controller based on two optimization algorithms for mean arterial pressure. . Baghdad Iraq : al-Mustansyriah University College of Engineering. 2020-12-31.
https://search.emarefa.net/detail/BIM-1263604
American Medical Association (AMA)
Abid, Rawa H.& Karam, Ikhlas Hamid. Optimal model reference controller based on two optimization algorithms for mean arterial pressure. .
https://search.emarefa.net/detail/BIM-1263604
