Artificial Pancreas Using Fuzzy Logic Controller

Version 1.2 (718 KB) by Rajib Huq
Design and optimization of a fuzzy system to control an artificial pancreas.
126 Downloads
Updated 10 Nov 2022

Artificial Pancreas Using Fuzzy Logic Controller

This example shows how to design and optimize a fuzzy inference system (FIS) tree to control an artificial pancreas. The artificial pancreas regulates the blood glucose level of an individual with type 1 diabetes using subcutaneous infusion of insulin. Type 1 diabetes is a widespread health problem that occurs when the pancreas fails to produce enough insulin to regulate blood glucose levels. To regulate the blood glucose levels, the fuzzy system uses a FIS tree, which is a distributed, connected representation of multiple FISs, each with a small rule base. A FIS tree provides easier understanding of the inference process and allows faster performance optimization with a small number of tunable parameters.

Image

Setup

  1. Clone project repository: git clone https://github.com/mathworks/Artificial-Pancreas-Using-Fuzzy-Logic-Controller.git
  2. Run example: Open and run artificialPancreasWithFISTreeControl.slx in Simulink®

MathWorks Products (https://www.mathworks.com/)

Requires MATLAB release R2022 or newer

Getting Started

License

The license is available in the License file within this repository.

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Copyright 2022-2023 The MathWorks, Inc.

Cite As

Rajib Huq (2024). Artificial Pancreas Using Fuzzy Logic Controller (https://github.com/mathworks/Artificial-Pancreas-Using-Fuzzy-Logic-Controller/releases/tag/v1.2), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2022b
Compatible with R2019a and later releases
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.2

See release notes for this release on GitHub: https://github.com/mathworks/Artificial-Pancreas-Using-Fuzzy-Logic-Controller/releases/tag/v1.2

1.1

See release notes for this release on GitHub: https://github.com/mathworks/Artificial-Pancreas-Using-Fuzzy-Logic-Controller/releases/tag/v1.1

1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.