Abstract
In this research, a nonlinear suboptimal controller was provided for type 1 diabetes patients' blood glucose level regulation based on a Proportional-Integral-Derivative (PID) controller with Ant Colony Optimization (ACO). The ACO approach is used to determine the ideal PID controller gain settings within a stability area. This study simulates three cases of a physiological model of glucose regulation in people with type 1 diabetes (No insulin treatment, fixed insulin injection, and Controlled blood glucose concentration using a PID controller) by using the Bergman Model in the context of meal-induced disturbances. In terms of dynamic performance, such as a reduction in maximum overshoot, settling time, and rising time, simulation findings suggest that the proposed technique for PID tuning using the ACO algorithm is more adaptable and cost-effective.
Original language | English |
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Title of host publication | 2024 2nd International Conference on Cyber Resilience (ICCR) |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Number of pages | 10 |
ISBN (Electronic) | 9798350394962 |
ISBN (Print) | 9798350394979 |
DOIs | |
Publication status | Published - 22 May 2024 |
Event | 2nd International Conference on Cyber Resilience - Dubai, United Arab Emirates Duration: 26 Feb 2024 → 28 Feb 2024 https://iccr2.gaftim.com (Link to Conference website) |
Publication series
Name | International Conference on Cyber Resilience |
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ISSN (Print) | None |
Conference
Conference | 2nd International Conference on Cyber Resilience |
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Abbreviated title | ICCR 2024 |
Country/Territory | United Arab Emirates |
City | Dubai |
Period | 26/02/24 → 28/02/24 |
Internet address |
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Keywords
- PID
- ACO
- Bergman Model, type 1 diabetic patient
- blood Glucose Concentrations
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Safety, Risk, Reliability and Quality
- Social Sciences (miscellaneous)
- Education
- Information Systems and Management