Fractional adaptive control for a fractional - order insuline - glucose dynamic model

Coman, Simona; Boldisor, C.; Floroian, Laura

doi:10.1109/optim.2017.7975082

Cited by 5 publications

(1 citation statement)

References 17 publications

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“…That justifies the need to design a robust glucose-insulin regulatory system controller. Coman et al [15], proposed an adaptive controller fractional in order to control the insulin and glucose systems that regulates its parameters along with a fractional-order model of the insulin and glucose system. In the case study, the amount of glucose meditation became extremely high, especially when taking meal and blood glucose, which had negative and dangerous impacts on patient life.…”

Section: Introductionmentioning

confidence: 99%

H∞ loop Shaping Robust Postprandial Glucose Control for Type 1 Diabetes

Fadhel

Raafat

2021

ETJ

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The Bergman model is one of the most commonly used models applied to the representation of the artificial pancreas (AP). It is important to study the effects of the insulin infusion on blood glucose concentration. This work includes a case study for the design of a robust controller for an AP. Robustness is a structured control that improves a system's ability to keep its stability and performance under various conditions. The proposed H∞ loop shaping HLS method will fulfill the design requirements of robust control and performance. The results of the simulation prove the superiority of the intended approach in terms of simple structure, robust performance, and stability with the least control effort

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Section: Introductionmentioning

confidence: 99%

H∞ loop Shaping Robust Postprandial Glucose Control for Type 1 Diabetes

Fadhel

Raafat

2021

ETJ

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A Stability Analysis of Inverted Pendulum System Using Fractional-Order MIT Rule of MARC Controller

Mukherjee

Kundu

Ghosh

2018

Advances in Intelligent Systems and Computing

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Novel adaptive control approach to fractal fractional order deforestation model and its impact on soil erosion

Priya,

Sabarmathi,

Akgül

et al. 2024

Sci Rep

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Deforestation exerts profound ramifications on soil quality and biodiversity, thereby exerting substantial economic repercussions. The depletion of organic matter and structural integrity of soil following tree removal for agricultural purposes underscores the severity of this issue. In elucidating the soil pollution stemming from deforestation, this research employs a sophisticated fivecompartment SDIFR model integrating fractal dimension and fractional order dynamics. The rigorous analysis, including the application of Picard Lindelof's fixed point theorem, establishes the existence and uniqueness of explicit solutions. Furthermore, the examination of local and global stability sheds light on the system's behavior, delineating between pollution-free equilibrium and pollution-extinct equilibrium states. To regulate system behavior, an adaptive control framework grounded in fractal fractional order is proposed, leveraging the Adams-Bashforth numerical approximation scheme for implementation. Through numerical simulations, the study underscores the pivotal role of parameters, thus substantiating the significance of the proposed model in comprehensively addressing the complexities of soil pollution induced by deforestation.

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Fractional adaptive control for a fractional - order insuline - glucose dynamic model

Cited by 5 publications

References 17 publications

H∞ loop Shaping Robust Postprandial Glucose Control for Type 1 Diabetes

H∞ loop Shaping Robust Postprandial Glucose Control for Type 1 Diabetes

A Stability Analysis of Inverted Pendulum System Using Fractional-Order MIT Rule of MARC Controller

Novel adaptive control approach to fractal fractional order deforestation model and its impact on soil erosion

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