Journal ArticleDOI
A new fractional-order general type-2 fuzzy predictive control system and its application for glucose level regulation
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TLDR
The results of the paper clearly show the superiority of the proposed T2 fuzzy logic control system that is employed to regulate the glucose level in type-1 diabetes.About:
This article is published in Applied Soft Computing.The article was published on 2020-06-01. It has received 51 citations till now. The article focuses on the topics: Fuzzy logic & Control theory.read more
Citations
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Journal ArticleDOI
Optimal tuning of interval type-2 fuzzy controllers for nonlinear servo systems using Slime Mould Algorithm
Radu-Emil Precup,Radu-Emil Precup,Radu-Codrut David,Raul-Cristian Roman,Alexandra-Iulia Szedlak-Stinean,Emil M. Petriu +5 more
TL;DR: This paper presents a novel application of the metaheuristic Slime Mould Algorithm (SMA) to the optimal tuning of interval type-2 fuzzy controllers.
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A hybrid Grasshopper Optimization Algorithm and Harris Hawks Optimizer for Combined Heat and Power Economic Dispatch problem
Murugan Ramachandran,Seyedali Mirjalili,Morteza Nazari-Heris,Deiva Sundari Parvathysankar,S. Arunachalam,Christober Asir Rajan Charles Gnanakkan +5 more
TL;DR: In this article , the authors combine the Modified Grasshopper Optimization Algorithm (MGOA) and the Improved Harris Hawks Optimizer (IHHO) for attaining a better balance between the beginning stages of global search and the latter stages of convergence.
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A deep learned type-2 fuzzy neural network: Singular value decomposition approach
TL;DR: It is shown that the proposed mechanism results in significantly better prediction and estimation performance with less tunable parameters in just one learning epoch.
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Artificial Pancreas Control Strategies Used for Type 1 Diabetes Control and Treatment: A Comprehensive Analysis
TL;DR: This paper presents a comprehensive survey about the fundamental components of the artificial pancreas (AP) system including insulin administration and delivery, glucose measurement (GM), and control strategies/algorithms used for type 1 diabetes mellitus (T1DM) treatment and control.
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A Multi-Strategy Whale Optimization Algorithm and Its Application
TL;DR: Wang et al. as mentioned in this paper proposed a Multi-Strategy Whale Optimization Algorithm (MSWOA) for solving complex engineering optimization problems, aiming at adjusting important parameters to satisfy constraints and optimal objectives.
References
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IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045.
Nam H. Cho,Nam H. Cho,Jonathan E. Shaw,Suvi Karuranga,Yadi Huang,J. D. da Rocha Fernandes,A.W. Ohlrogge,Belma Malanda +7 more
TL;DR: The new estimates of diabetes prevalence, deaths attributable to diabetes and healthcare expenditure due to diabetes present a large social, financial and health system burden across the world.
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Biogeography-Based Optimization
TL;DR: This paper discusses natural biogeography and its mathematics, and then discusses how it can be used to solve optimization problems, and sees that BBO has features in common with other biology-based optimization methods, such as GAs and particle swarm optimization (PSO).
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Lilly lecture 1989. Toward physiological understanding of glucose tolerance. Minimal-model approach.
TL;DR: The proposed model of insulin/C-peptide kinetics, derived from the original conception of Eaton and Polonsky, suggests that in healthy individuals, there is a balance between secretion and insulin action such that insulin secretion × insulin sensitivity = constant, and supports the concept that, at physiological insulin levels, the time for insulin to cross the capillary endothelium is the process that determines the rate of insulin action in vivo.
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Lyapunov functions for fractional order systems
TL;DR: A new lemma for the Caputo fractional derivatives, when 0 α 1 , is proposed, which has proved to be useful in order to apply the fractional-order extension of Lyapunov direct method, to demonstrate the stability of many fractional order systems, which can be nonlinear and time varying.
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A historical review of evolutionary learning methods for Mamdani-type fuzzy rule-based systems: Designing interpretable genetic fuzzy systems
TL;DR: The current contribution constitutes a review on the most representative genetic fuzzy systems relying on Mamdani-type fuzzy rule-based systems to obtain interpretable linguistic fuzzy models with a good accuracy.