Presentation of the model and optimal control of non-linear fractional-order chaotic system of glucose–insulin

Shaban Mohammadi and S. Reza Hejazi

Computer Methods in Biomechanics and Biomedical Engineering, 2024, vol. 27, issue 7, 836-848

Abstract: Recent advances in optimal diabetes control have made it possible for diabetic patients to live longer, healthier, and happier lives. In this research, particle swarm optimization and genetic algorithm are applied in order to control the non-linear fractional order chaotic system of glucose–insulin optimally. A fractional system of differential equations discussed the chaotic behavior of the growth of the blood glucose system. Particle swarm optimization and genetic algorithm were used to solve the presented optimal control problem. The results showed that when the controller is applied from the beginning, the results of the genetic algorithm method are excellent. All the results obtained for the particle swarm optimization method show that this method is also very successful and the results are very close to the genetic algorithm method.

Date: 2024
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DOI: 10.1080/10255842.2023.2205979

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