ArticleIET systems biology2019
Adaptive fractional-order blood glucose regulator based on high-order sliding mode observer.
Article in IET systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A sensor-fault resilient artificial pancreas using type-3 fuzzy logic and predictive controls.Scientific reports · 2026Article
- Blood-glucose regulator design for diabetics based on LQIR-driven Sliding-Mode-Controller with self-adaptive reaching law.PloS one · 2024Article
- Article
- ChatteringIET systems biology · 2020Article
- Competitive analysis for stochastic influenza model with constant vaccination strategy.IET systems biology · 2019Article
- Analysis for fractional-order predator-prey model with uncertainty.IET systems biology · 2019Article
- Competitive numerical analysis for stochastic HIV/AIDS epidemic model in a two-sex population.IET systems biology · 2019Article
- Sliding mode controller-observer pair for p53 pathway.IET systems biology · 2019Article
- Optimal control for a fractional tuberculosis infection model including the impact of diabetes and resistant strains.Journal of advanced research · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
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Abstract
Type I diabetes is described by the destruction of the insulin-producing beta-cells in the pancreas. Hence, exogenous insulin administration is necessary for Type I diabetes patients. In this study, to estimate the states that are not directly available from the Bergman minimal model a high-order sliding mode observer is proposed. Then fractional calculus is combined with sliding mode control (SMC) for blood glucose regulation to create more robustness performance and make more degree of freedom and flexibility for the proposed method. Then an adaptive fractional-order SMC is proposed. The adaptive SMC protect controller against disturbance and uncertainties while the fractional calculus provides robust performance. Numerical simulation verifies that the proposed controllers have better performance in the presence of disturbance and uncertainties without chattering.
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