English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In this paper, an adaptive fuzzy controller is presented to regulate the glucose level in type-1 diabetic patients. The dynamics of the glucose-insulin are estimated by the type-2 fuzzy systems. The parameters of the type-2 fuzzy systems are adjusted based on the adaptation laws that are obtained from the Lyapunov stability analysis. In order to evaluate the proposed controller’s performance, the modified Bergman model is considered for a number of diabetic patients under various conditions. Also, the parameters of the modified Bergman model are considered as time-varying and it is shown that the proposed control scheme results in good performance. Finally, the performance of the proposed method is compared with some other techniques.

Adaptive Type-2 Fuzzy Control for Regulation of Glucose Level in Type 1 Diabetes