PID Controller Tuning Using Multi-Objective Ant Colony Optimization for Blood Glucose Level of a Diabetic Patient-Reference-Cited by-同舟云学术

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PID Controller Tuning Using Multi-Objective Ant Colony Optimization for Blood Glucose Level of a Diabetic Patient

Published:2024-02-26 Issue: Volume:13 Page:1-10
ISSN:
Container-title:2024 2nd International Conference on Cyber Resilience (ICCR)
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Author:

Dief Mohanad A.¹,Alomoush Waleed²,Atta Hani³,Khashan Osama A.⁴,Solyman Ahmed⁵,ELGohary Rania¹

Affiliation:

1. College of Information Technology, Misr University for Science & Technology (MUST),Department of Artificial intelligence,6th of October City,Egypt,12566

2. School of Computing, Skyline University College,Sharjah,United Arab Emirates,P.O. Box 1797

3. Zarqa University,Faculty of Engineering,Zarqa,Jordan

4. Research and Innovation Centres, Rabdan Academy,Abu Dhabi,United Arab Emirates,P.O. Box 114646

5. School of Computing, Engineering and Built Environment, Glasgow Caledonian University,Glasgow,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10532252/10532778/10532878.pdf?arnumber=10532878

Reference47 articles.

1. Tuning the fractional-order PID-controller for blood glucose level of diabetic patients;Batiha;Int. J. Advance Soft Compu. Appl,2021

2. Delay-Independent regulation of blood glucose for type-1 diabetes mellitus patients via an observer-based predictor feedback approach by considering quantization constraints

3. Blood Glucose Regulation in Type-1 Diabetic Patients using Sliding Mode Control Based on Nonlinear Transformation

4. Application of model reference adaptive control and modified Smith predictor to control blood glucose in type 1 diabetic patients

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