Autors: Kralev, J. K., Markovski, A. G., Slavov, T. N., Georgieva P.
Title: Robust Strategies for Enhanced Glycemic Control in Type i Diabetes
Keywords: glycemic regulation, PID tuning, robust control, type 1 Diabetes, μ-synthesis

Abstract: This paper presents a robust control framework for blood glucose regulation in Type 1 Diabetes (T1D), addressing challenges posed by patient variability, meal disturbances, and sensor noise. By translating glycemic control requirements into frequency-domain specifications, we design two-degree-of-freedom (2-DoF) μ-controllers and fixed-order μ-PID controllers using structured singular value synthesis. The uncertain physiological dynamics are modeled as a third-order transfer function with multiplicative uncertainty, validated via system identification.

References

  1. Mosquera-Lopez, C.; Wilson, L.M.; El Youssef, J. et al. Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence. Digit. Med. 2023 6(39) https://doi.org/10.1038/s41746-023-00783-1
  2. Nath, A.; Dey, R. Robust observer based control for plasma glucose regulation in type 1 diabetes patient using attractive ellipsoid method. IET Syst Biol. 2019, 13(2), p. 84-91. https://doi.org/10.1049/iet-syb.2018.5054
  3. P. Apkarian and D. Noll. Nonsmooth H∞ Synthesis IEEE Transactions on Automatic Control 2006 51(1), p. 71-86 https://doi.org/10.1109/TAC. 2005.860290.
  4. Huyett, L.M.; Dassau, E.; Zisser, H.C.; Doyle, F.J. 3rd. Design and Evaluation of a Robust PID Controller for a Fully Implantable Artificial Pancreas. Ind Eng Chem Res. 2015 54(42), p. 10311-10321. https://doi.org/10.1021/acs.iecr.5b01237

Issue

2025 14th Mediterranean Conference on Embedded Computing, MECO 2025 - Proceedings, 2025, Albania, https://doi.org/10.1109/MECO66322.2025.11049298

Вид: публикация в международен форум, публикация в реферирано издание, индексирана в Scopus и Web of Science