Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Glucose Homeostasis: Regulation of Blood Glucose01:02

Glucose Homeostasis: Regulation of Blood Glucose

Carbohydrates consumed through foods are converted into glucose, a crucial energy source for the body. In the prandial state, high blood glucose levels stimulate the secretion of insulin from the pancreas. Insulin inhibits hepatic glucose production and stimulates glucose uptake and metabolism by muscle and adipose tissue. The excess glucose is converted into glycogen and stored in the liver and muscles.
During fasting, when blood glucose levels are low, the pancreas secretes glucagon. it...
Hypoglycemia and Glucagon01:15

Hypoglycemia and Glucagon

Without prolonged fasting, healthy individuals maintain blood glucose levels above 3.5 mM due to a well-adapted neuroendocrine counterregulatory system that effectively prevents acute hypoglycemia, a potentially life-threatening condition. The primary clinical scenarios for hypoglycemia encompass diabetes treatment, inappropriate production of endogenous insulin or insulin-like substances by tumors, and the use of glucose-lowering agents in non-diabetic individuals. Notably, hypoglycemia in the...
PD Controller: Design01:26

PD Controller: Design

In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
Open and closed-loop control systems01:17

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...
Hormones Regulating Blood Glucose01:16

Hormones Regulating Blood Glucose

Insulin is released by beta cells of the pancreas when blood glucose levels are high. It facilitates glucose absorption and utilization in insulin-dependent cells with insulin receptors on their plasma membranes. Insulin promotes glucose uptake by increasing the number of glucose transport proteins in the cell membrane, allowing glucose to enter the cell. As a result, glucose utilization and ATP production are enhanced.
In addition to accelerating glucose uptake and utilization, insulin has...
PI Controller: Design01:24

PI Controller: Design

Proportional Integral (PI) controllers are a fundamental component in modern control systems, widely used to enhance performance and mitigate steady-state errors. They are particularly effective in applications such as automatic brightness adjustment on smartphones, where they excel at mitigating steady-state errors for step-function inputs. Unlike PD controllers, which require time-varying errors to function optimally, PI controllers leverage their integral component to address residual...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

High order sliding mode control for restoration of a population of predators in a Lotka-Volterra system.

Journal of biological physics·2023
Same author

Minimally-Invasive and Efficient Method to Accurately Fit the Bergman Minimal Model to Diabetes Type 2.

Cellular and molecular bioengineering·2022
Same author

Accurate diagnosis of sepsis using a neural network: Pilot study using routine clinical variables.

Computer methods and programs in biomedicine·2021
Same author

Rapid automatic identification of parameters of the Bergman Minimal Model in Sprague-Dawley rats with experimental diabetes for adaptive insulin delivery.

Computers in biology and medicine·2019
Same author

A model based analysis of optimality of sit-to-stand transition.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2017
Same author

High-order sliding-mode control for anesthesia.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2013

Related Experiment Video

Updated: May 14, 2026

Quantitative and Temporal Control of Oxygen Microenvironment at the Single Islet Level
11:49

Quantitative and Temporal Control of Oxygen Microenvironment at the Single Islet Level

Published on: November 17, 2013

Experimental glucose regulation with a high-order sliding-mode controller.

Ana Gallardo Hernández1, Cristina Revilla Monsalve, Leonid Fridman

  • 1Unidad de Investigación en Enfermedades Metabólicas, Centro Médico Nacional Siglo XXI (IMSS), México. anagabygh@gmail.com

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|February 1, 2013
PubMed
Summary

High-Order Sliding-Mode Controllers offer robust glucose regulation, proving effective in diabetic rats. This advanced control strategy minimizes disruptions from system uncertainties and external disturbances.

More Related Videos

Hyperglycemic Clamp and Hypoglycemic Clamp in Conscious Mice
07:35

Hyperglycemic Clamp and Hypoglycemic Clamp in Conscious Mice

Published on: January 26, 2024

Simple Continuous Glucose Monitoring in Freely Moving Mice
03:25

Simple Continuous Glucose Monitoring in Freely Moving Mice

Published on: February 24, 2023

Related Experiment Videos

Last Updated: May 14, 2026

Quantitative and Temporal Control of Oxygen Microenvironment at the Single Islet Level
11:49

Quantitative and Temporal Control of Oxygen Microenvironment at the Single Islet Level

Published on: November 17, 2013

Hyperglycemic Clamp and Hypoglycemic Clamp in Conscious Mice
07:35

Hyperglycemic Clamp and Hypoglycemic Clamp in Conscious Mice

Published on: January 26, 2024

Simple Continuous Glucose Monitoring in Freely Moving Mice
03:25

Simple Continuous Glucose Monitoring in Freely Moving Mice

Published on: February 24, 2023

Area of Science:

  • Biomedical Engineering
  • Control Systems
  • Endocrinology

Background:

  • Diabetes mellitus poses significant challenges for maintaining stable blood glucose levels.
  • Accurate glucose regulation is crucial for preventing acute and chronic complications.
  • Existing control systems may struggle with parameter uncertainties and unmodeled dynamics.

Purpose of the Study:

  • To implement and evaluate a High-Order Sliding-Mode Controller (HOSMC) for closed-loop glucose regulation.
  • To assess the controller's robustness against parameter uncertainties and unknown system dynamics.
  • To validate the controller's efficacy in a preclinical model of diabetes.

Main Methods:

  • Theoretical design of an HOSMC based on the concept of practical relative degree.
  • Implementation of the HOSMC for automated glucose control.
  • In vivo testing of the controller in Sprague-Dawley rats with streptozotocin-induced diabetes.

Main Results:

  • The HOSMC demonstrated robust performance in closed-loop glucose regulation.
  • The controller exhibited insensitivity to parameter uncertainties inherent in biological systems.
  • Effective glucose control was achieved in diabetic rats, indicating high efficacy.

Conclusions:

  • High-Order Sliding-Mode Controllers are theoretically and practically suitable for closed-loop glucose regulation.
  • The implemented HOSMC shows significant robustness and efficacy in a preclinical diabetes model.
  • This control strategy holds promise for advanced diabetes management systems.