Journal of Biomedical Science and Engineering

Journal of Biomedical Science and Engineering

ISSN Print: 1937-6871
ISSN Online: 1937-688X
www.scirp.org/journal/jbise
E-mail: jbise@scirp.org
"Identification and low-complexity regime-switching insulin control of type I diabetic patients"
written by Ali Hariri, Le Yi Wang,
published by Journal of Biomedical Science and Engineering, Vol.4 No.4, 2011
has been cited by the following article(s):
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[1] Robust nonlinear control of blood glucose in diabetic patients subject to model uncertainties
ISA transactions, 2022
[2] Robust Polytopic-LPV Body-Weight-Dependent Control of Blood Glucose in Type-1 Diabetes
IEEE …, 2021
[3] Insulin dosage control of time-delayed type-1 diabetes
2020
[4] Chattering‐free hybrid adaptive neuro‐fuzzy inference system‐particle swarm optimisation data fusion‐based BG‐level control
IET Systems Biology, 2020
[5] Chattering-free Higher Order Sliding Mode and Unscented Kalman Filter for Blood Glucose Level Control
2019
[6] Chattering-free Hybrid ANFIS-PSO Data Fusion based Blood Glucose Level Control
2019
[7] Fuzzy model-based controller for blood glucose control in type 1 diabetes: An LMI approach
2019
[8] Chattering-free hybrid adaptive neuro-fuzzy inference system-particle swarm optimisation data fusion-based BG-level control
2019
[9] Back-stepping sliding mode control Design for glucose regulation in type 1 diabetic patients
2019
[10] Fractional Order Glucose Insulin System Using Fractional Back-Stepping Sliding Mode Control
2019
[11] Integral Backstepping Based Automated Control of Blood Glucose in Diabetes Mellitus Type 1 Patients
2019
[12] Noninvasive Blood Glucose Measurment Using Modulated Ultrasound And Infrared Light
2017
[13] Chattering-free blood glucose level control based on ANFIS
2017
[14] A backstepping approach for blood glucose control of parker system
2016
[15] A New Hybrid Approach on Blood Glucose Level Control Based on Palumbo Delayed Model
2016
[16] Glucose-Insulin Minimal Model Augmented: Identification and Validation⋆
2015
[17] Noninvasive blood glucose measurement utilizing a newly designed system based on modulated ultrasound and infrared light
International Journal of Diabetes in Developing Countries, 2015
[18] Identification, state estimation, and adaptive control of type i diabetic patients
2012
[19] Observer-Based State Feedback for Enhanced Insulin Control of Type 'I'Diabetic Patients
The open biomedical engineering journal, 2011
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