Fuzzy Logic Strategy for Solving an Optimal Control Problem of Glucose and Insulin in Diabetic Human - Open Journal of Applied Sciences

OJAppS > Vol.3 No.7, November 2013

Open Journal of Applied Sciences

Volume 3, Issue 7 (November 2013)

ISSN Print: 2165-3917 ISSN Online: 2165-3925

Google-based Impact Factor: 1 Citations

Fuzzy Logic Strategy for Solving an Optimal Control Problem of Glucose and Insulin in Diabetic Human ()

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Download as PDF (Size: 530KB) PP. 421-429

DOI: 10.4236/ojapps.2013.37052 5,726 Downloads 8,031 Views Citations

Author(s)

Jean Marie Ntaganda

Affiliation(s)

Department of Applied Mathematics, School of Pure and Applied Science, College of Science and Technology, University of Rwanda (Huye Campus), Butare, Rwanda.

ABSTRACT

This paper aims at the development of an approach integrating the fuzzy logic strategy for a glucose and insulin in diabetic human optimal control problem. To test the efficiency of this strategy, the author proposes a numerical comparison with the indirect method. The results are in good agreement with experimental data.

KEYWORDS

Fuzzy Logic; Optimal Control; Membership Function; Membership Degree; Glucose; Insulin; Numerical Simulation

Share and Cite:

J. Ntaganda, "Fuzzy Logic Strategy for Solving an Optimal Control Problem of Glucose and Insulin in Diabetic Human," Open Journal of Applied Sciences, Vol. 3 No. 7, 2013, pp. 421-429. doi: 10.4236/ojapps.2013.37052.

Cited by

[1]	An Extensive Survey on Diagnosis of Diabetes Mellitus in Healthcare
	Proceedings of the International Conference on Data Engineering and Communication Technology, 2017

[2]	Study of diagnosis of diabetes mellitus under healthcare
	2016

[3]	Fuzzy Logic Approach for Solving an Optimal Control Problem of an Uninfected Hepatitis B Virus Dynamics
	Applied Mathematics, 2015

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