Design of Switched Model Predictive Control Algorithms for a Dual-Hormone Artificial Pancreas

Dimitri Boiroux, Vladimír Bátora, Zeinab Mahmoudi, John Bagterp Jørgensen

Research output: Contribution to journalJournal articleResearchpeer-review

97 Downloads (Pure)

Abstract

In this paper, we evaluate the closed-loop performance of two switching strategies for a dual-hormone artificial pancreas (AP). The dual-hormone AP administers insulin and glucagon subcutaneously. Since insulin and glucagon have opposite effects, we want to avoid simultaneous injections of these two hormones. To handle non-simultaneous injections of insulin and glucagon, we compare model predictive control (MPC) algorithms using a hysteresis switch between insulin and glucagon controllers with a multiple-input single-output (MISO) formulation. Although the closed-loop performance of these two control strategies is similar, the hysteresis switch is preferable due to (i) its greater flexibility in control design and tuning and (ii) a more straightforward way to avoid simultaneous injections of insulin and glucagon.

Original languageEnglish
Book seriesI F A C Workshop Series
Volume51
Issue number27
Pages (from-to)174-179
ISSN1474-6670
DOIs
Publication statusPublished - 2018

Keywords

  • Diabetes technology
  • Dual hormone artificial pancreas
  • Model Predictive Control
  • Type 1 Diabetes

Fingerprint Dive into the research topics of 'Design of Switched Model Predictive Control Algorithms for a Dual-Hormone Artificial Pancreas'. Together they form a unique fingerprint.

Cite this