Fuzzy type-2 fractional Backstepping blood glucose control based on sliding mode observer

Author:

Heydarinejad Hamid,Delavari Hadi,Baleanu Dumitru

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Control and Optimization,Mechanical Engineering,Modelling and Simulation,Civil and Structural Engineering,Control and Systems Engineering

Reference40 articles.

1. Tucker ME (2015) IDF Atlas: about 415 million adults worldwide have diabetes. In: International Diabetes Federation (IDF) 2015 World Congress

2. Colmegna P, Sanchez Pèna RS, Gondhalekar R, Dassau E, Doyle FJ (2014) Reducing risks in type 1 diabetes using H $$\infty $$ ∞ control. IEEE Trans Biomed Eng 61(12):2939–2947

3. Goharimanesh M, Lashkaripour A, Abouei Mehrizi A (2015) FO PID controller for diabetes patients. J Comput Appl Mech 46(1):69–76

4. Allam F, Nossair Z, Gomma H, Ibrahim I, Abdelsalam M (2012) Evaluation of using a recurrent neural network (RNN) and a fuzzy logic controller (FLC) in closed loop system to regulate blood glucose for type-1 diabetic patients. Int J Intell Syst Appl 10:58–71

5. Leon BS, Alanis AY, Sanchez EN, Ornelas-Tellez F, Ruiz-Velazquez E (2012) Inverse optimal neural control of blood glucose level for type 1 diabetes mellitus patients. J Frankl Inst 349(5):1851–1870

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