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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[2] Investigation on modelling and identification of glucose management system for normal individual and diabetic patient
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[3] Robust H∞ control of T–S fuzzy blood glucose regulation system via adaptive event-triggered scheme
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[4] Model-Based Approaches in Biomedical Engineering
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[5] Robust nonlinear control of blood glucose in diabetic patients subject to model uncertainties
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[6] Robust Polytopic-LPV Body-Weight-Dependent Control of Blood Glucose in Type-1 Diabetes
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[7] Insulin dosage control of time-delayed type-1 diabetes
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[8] Chattering‐free hybrid adaptive neuro‐fuzzy inference system‐particle swarm optimisation data fusion‐based BG‐level control
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[9] Chattering-free Higher Order Sliding Mode and Unscented Kalman Filter for Blood Glucose Level Control
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[10] Chattering-free Hybrid ANFIS-PSO Data Fusion based Blood Glucose Level Control
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[11] Fuzzy model-based controller for blood glucose control in type 1 diabetes: An LMI approach
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[12] Chattering-free hybrid adaptive neuro-fuzzy inference system-particle swarm optimisation data fusion-based BG-level control
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[13] Back-stepping sliding mode control Design for glucose regulation in type 1 diabetic patients
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[14] Fractional Order Glucose Insulin System Using Fractional Back-Stepping Sliding Mode Control
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[15] Integral Backstepping Based Automated Control of Blood Glucose in Diabetes Mellitus Type 1 Patients
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[16] Noninvasive Blood Glucose Measurment Using Modulated Ultrasound And Infrared Light
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[17] Chattering-free blood glucose level control based on ANFIS
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[18] A backstepping approach for blood glucose control of parker system
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[19] A New Hybrid Approach on Blood Glucose Level Control Based on Palumbo Delayed Model
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[20] Glucose-Insulin Minimal Model Augmented: Identification and Validation⋆
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[21] Noninvasive blood glucose measurement utilizing a newly designed system based on modulated ultrasound and infrared light
International Journal of Diabetes in Developing Countries, 2015
[22] Development and Evaluation of Anti-tubercular Multiparticulate Novel Drug Delivery System
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[23] Identification, state estimation, and adaptive control of type i diabetic patients
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[24] Observer-Based State Feedback for Enhanced Insulin Control of Type 'I'Diabetic Patients
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