Model Free Control for Type-1 Diabetes: A Fasting-Phase Study∗∗It is an e_ective pedagogical treatment where multiple daily insulin doses are injected or subcutaneously infused following frequent blood glucose measurements. Howorka (2006); Sachon (2003).

Ridha, Taghreed M. Mohammad; Moog, Claude H.

doi:10.1016/j.ifacol.2015.10.118

Cited by 14 publications

(5 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This illustrates that the dynamics ̇ and ̇ in the state-space representation (6) equals the Laplacian transfer function (5). Finally, it is shown in [39], [40] that ( ) is proportional to the body-weight. However, here two structures for (1) ( ) are considered.…”

Section: B Updating the Insulin Infusion Ratementioning

confidence: 76%

See 1 more Smart Citation

Robust Polytopic-LPV Body-Weight-Dependent Control of Blood Glucose in Type-1 Diabetes

et al. 2021

View full text Add to dashboard Cite

This paper presents a robust ∞ polytopic Linear Parameter Varying (LPV) controller to regulate the blood glucose level in type-1 diabetes patients. The suggested approach utilizes an observer-based controller and polytopic inexact gain-scheduling scheme to construct the stabilizing injecting insulin resilient against the external meal and snack disturbance in Silico. To assure the closed-loop stability and prescribed ∞ performance, a Quadratic Lyapunov Function (QLF) is used and the stabilization conditions are derived in terms of Linear Matrix Inequalities (LMIs). The conventional minimal Bergman model is improved by considering the effect of body-weight on the glucose-insulin phenomenon and the new body-weight functions are identified based on real data. Then, for the body-weight-dependent Bergman model, a polytopic-LPV model is obtained. Simulations show the advantages of the developed glucose-insulin model and the robustness of the suggested controller in dealing with the effects of a meal for patients with different weights and avoiding hypoglycemia and hyperglycemia disorders.INDEX TERMS Bergman model, Body-weight effect, Dynamic output controller, Glucose-insulin system, Linear parameter varying (LPV) model.

show abstract

Section: B Updating the Insulin Infusion Ratementioning

confidence: 76%

“…However, here two structures for (1) ( ) are considered. To train the parameters of (1) ( ), the experimental data of [39], [40] is considered. Applying the least square on the data presented in Table I, the following structures are obtained (See Appendix A):…”

Section: B Updating the Insulin Infusion Ratementioning

confidence: 99%

Robust Polytopic-LPV Body-Weight-Dependent Control of Blood Glucose in Type-1 Diabetes

et al. 2021

View full text Add to dashboard Cite

show abstract

“…The gains of the MFC controller can be tuned through the estimations of the uncertainties, which bring out better performance compared with the classical controller. Many scholars have successfully applied the MFC scheme to deal with uncertainties and external disturbances in many areas, essentially attitude control of a quadrotor [20], a two-wheeled inverted pendulum [21], lapping-wing lying robot [22], robotic exoskeleton [23], experimental green-houses [24], glycemia regulation of type-1 diabetes [25], thermal processes [26], wheeled autonomous vehicles [27], twin-rotor aerodynamic system [28] and more. To the best of our knowledge, there is no literature on the model-free control for teleoperation systems.…”

Section: Introductionmentioning

confidence: 99%

Model-Free Sliding Mode Control for a Nonlinear Teleoperation System with Actuator Dynamics

Abdelwaheb,

Abderrahmane,

AEK

2023

JAMRIS

View full text Add to dashboard Cite

Teleoperation robotic systems control, which enables humans to perform activities in remote situations, has become an extremely challenging field in recent decades. In this paper, a Model Free Proportional-Derivative Sliding Mode Controller (MFPDSMC) is devoted to the synchronization problem of teleoperation systems subject to actuator dynamics, time-varying delay, model uncertainty, and input interaction forces. For the first time, the teleoperation model used in this study combines actuator dynamics and manipulator models into a single equation, which improves model accuracy and brings it closer to the actual system than in prior studies. Further, the proposed control approach, called Free, involves the simple measurement of inputs and outputs to enhance the system's performance without relying on any knowledge from the mathematical model. In addition, our strategy includes a Sliding Mode term with the MFPD term to increase system stability and attain excellent performance against external disturbances. Finally, using the Lyapunov function under specified conditions, asymptotic stability is established, and simulation results are compared and provided to demonstrate the efficacy of the proposed strategy.

show abstract

“…This method rests on an instantaneous identification, such that the mathematical model describing the dynamics of the system in a large operating range is replaced by a local model, valid on a very short time and updated step by step. The i-PID controllers have been successfully applied to various processes, such as shape memory alloys actuator [3], experimental greenhouses [4], glycemia of type-1 diabetes [5], quadrotor UAV [6], Servo Systems [7], autonomous vehicles [8] acute inflammation [9]. In the literature, model free control approaches are developed based on fuzzy logic such as in [7,10] and other approaches are developed based on neural networks [11,12].…”

Section: Introductionmentioning

confidence: 99%

Archives of Control Sciences

Boubakir¹,

Labiod²,

Boudjema³

2019

View full text Add to dashboard Cite

This paper presents a robust model free controller (RMFC) for a class of uncertain continuous-time single-input single-output (SISO) minimum-phase nonaffine-in-control systems. Firstly, the existence of an unknown dynamic inversion controller that can achieve control objectives is demonstrated. Afterwards, a fast approximator is designed to estimate as best as possible this dynamic inversion controller. The proposed robust model free controller is an equivalent realization of the designed fast approximator. The perturbation theory and Tikhonov's theorem are used to analyze the stability of the overall closed-loop system. The performance of the developped controller are verified experimentally in the position control of a pneumatic actuator system.

show abstract

Model Free Control for Type-1 Diabetes: A Fasting-Phase Study∗∗It is an e_ective pedagogical treatment where multiple daily insulin doses are injected or subcutaneously infused following frequent blood glucose measurements. Howorka (2006); Sachon (2003).

Cited by 14 publications

References 18 publications

Robust Polytopic-LPV Body-Weight-Dependent Control of Blood Glucose in Type-1 Diabetes

Robust Polytopic-LPV Body-Weight-Dependent Control of Blood Glucose in Type-1 Diabetes

Model-Free Sliding Mode Control for a Nonlinear Teleoperation System with Actuator Dynamics

Archives of Control Sciences

Contact Info

Product

Resources

About