Internal model sliding mode control approach for glucose regulation in type 1 diabetes

Abu-Rmileh, Amjad; Garcia-Gabin, Winston; Zambrano, Darine

doi:10.1016/j.bspc.2009.12.003

Cited by 40 publications

(13 citation statements)

References 40 publications

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“…In a previous study [2], a first-order IMC-SMC was designed and tested with the diabetic patient model developed by Dalla Man et al [9,10]. In this study, the Hovorka model, which shows a higher non-linearity, is used to describe the diabetic patient.…”

Section: Discussionmentioning

confidence: 99%

“…In the BG control problem, the meal intakemainly CHO-can be viewed as a known source of disturbance, and feedforward control-also known as meal announcement-can be used. The role of meal announcement in improving the postprandial performance has been verified in different clinical [35] and simulation studies [1,2,22]. To design a feedforward controller, the effect of the meal on BG level should be known or approximated.…”

Section: Static Feedforward Controlmentioning

confidence: 99%

“…The use of IMC-SMC combination for BG control in T1DM was introduced in [2], where the performance of a first-order IMC-SMC was tested in different simulation scenarios. In this study, a higher-order SMC with a higher-order internal model is developed to achieve good glycemic control in the presence of varying insulin sensitivity and measurements errors.…”

Section: Introductionmentioning

confidence: 99%

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A robust sliding mode controller with internal model for closed-loop artificial pancreas

Abu-Rmileh

Garcia-Gabin

Zambrano

2010

Med Biol Eng Comput

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The study presents a robust closed-loop sliding mode controller with internal model for blood glucose control in type-1 diabetes. Type-1 diabetic patients depend on external insulin delivery to keep their blood glucose within near-normal ranges. Closed-loop artificial pancreas is developed to help avoid dangerous, potentially life-threatening hypoglycemia, as well as to prevent complication-inducing hyperglycemia. The proposed controller is designed using a combination of sliding mode and internal model control techniques. To enhance postprandial performance, a feedforward controller is added to inject insulin bolus. Simulation studies have been performed to test the controller, which revealed that the proposed control strategy is able to control the blood glucose well within the safe limits in the presence of meals and measurements errors. The controller shows acceptable robustness against changes in insulin sensitivity, model-patient mismatch, and errors in estimating meal's contents.

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Section: Discussionmentioning

confidence: 99%

Section: Static Feedforward Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A robust sliding mode controller with internal model for closed-loop artificial pancreas

Abu-Rmileh

Garcia-Gabin

Zambrano

2010

Med Biol Eng Comput

Self Cite

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“…It was found that both dynamic and static feedforward improves the meal disturbance rejection, with the latter being superior (Abu-Rmileh et al [2010a]). Thus, the static feedforward is adopted in this work.…”

Section: Sp-smc Controller Designmentioning

confidence: 99%

Smith Predictor Sliding Mode Closed-loop Glucose Controller in Type 1 Diabetes

Abu-Rmileh

Garcia-Gabin

2011

IFAC Proceedings Volumes

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Type 1 diabetic patients depend on external insulin delivery to keep their blood glucose within near-normal ranges. In this work, two robust closed-loop controllers for blood glucose regulation are developed to prevent the life-threatening hypoglycemia, as well as to avoid extended hyperglycemia. The proposed controllers are designed by using the sliding mode control technique in a Smith predictor structure. To improve meal disturbance rejection, a simple feedforward controller is added to inject meal-time insulin bolus. Simulations scenarios were used to test the controllers, and showed the controllers ability to maintain the glucose levels within the safe limits in the presence of errors in measurements, modeling and meal estimation.

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“…The key ingredient of this system, which makes use of small size implantable glucose sensors and programmable insulin pumps to physically close the loop, is the control algorithm aimed at performing real-time computation of the insulin delivering strategy. A remarkable number of approaches for blood glucose control have appeared in the literature in the last decade including classical PID control (Steil et al (2004)), optimal control (Fisher and Teo (1989)), sliding mode control (Abu-Rmileh et al (2010)), robust H ∞ control (Parker et al (2000); RuizVelázquez et al (2004)) and model predictive control (Lee and Bequette (2009);Dua et al (2006); Magni et al (2009)) just to cite a few. An extensive critical review of available blood glucose control algorithms can be found in the paper (Bequette (2005)).…”

Section: Introductionmentioning

confidence: 99%

LPV identification of the glucose-insulin dynamics in Type I diabetes

Cerone

Piga

Regruto

et al. 2012

IFAC Proceedings Volumes

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Abstract:In this paper we address the problem of identifying a linear parameter varying (LPV) model of the glucose-insulin dynamics in Type I diabetic patients. First, the identification problem is formulated in the framework of bounded-error identification, then an algorithm for parameter bounds computation, based on semidefinite programming, is presented. The effectiveness of the proposed approach is tested in simulation by means of the widely adopted nonlinear Sorensen patient model.

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Internal model sliding mode control approach for glucose regulation in type 1 diabetes

Cited by 40 publications

References 40 publications

A robust sliding mode controller with internal model for closed-loop artificial pancreas

A robust sliding mode controller with internal model for closed-loop artificial pancreas

Smith Predictor Sliding Mode Closed-loop Glucose Controller in Type 1 Diabetes

LPV identification of the glucose-insulin dynamics in Type I diabetes

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