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 3 publications

(1 citation statement)

References 16 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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A Better Stability Control of Inverted Pendulum System Using FMINCON Based FOPID Controller Over Fractional Order Based MRAC Controller

Mukherjee

Kundu

Ghosh

2019

International Journal of Natural Computing Research

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In this article, a stability analysis on an inverted pendulum system has been approached using a fractional order PID controller and a fractional order-based model reference adaptive controller. A modified MIT rule provides an extra degree of freedom, unlike an MIT rule of MRAC controllers to stablize the pendulum angle of the inverted pendulum system which is highly unstable in nature. Here, to analyze better stability performance of the inverted pendulum over the fractional order MIT rule of MRAC controller optimal fractional order, a PID controller has been approached and FMINCON numerical optimization algorithm has been chosen to optimize the fractional order PID controller using ITSE as a scaler objective function. Next, the behaviourial characteristics of the pendulum have been compared between the FMINCON-based FOPID controllers and the fractional order MIT rule of the MRAC controller to show robust performance using an optimal FOPID controller with respect to performance indices increases time, settling time, followed by errors ISE, IAE, ITSE.

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

Cited by 3 publications

References 16 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

A Better Stability Control of Inverted Pendulum System Using FMINCON Based FOPID Controller Over Fractional Order Based MRAC Controller

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