Inverse optimal neural control of blood glucose level for type 1 diabetes mellitus patients

DOI10.1016/j.jfranklin.2012.02.011zbMath1255.49062OpenAlexW2050280504MaRDI QIDQ1926310

Edgar N. Sanchez, Fernando Ornelas-Tellez, Eduardo Ruiz-Velazquez, Alma Y. Alanis, Blanca S. Leon

Publication date: 28 December 2012

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2012.02.011

zbMATH Keywords

recurrent neural networkextended Kalman filterneural modelinverse optimal neural controlnonlinear compartmental model

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Discrete-time control/observation systems (93C55) Medical applications (general) (92C50) Inverse problems in optimal control (49N45)

Related Items (4)

P systems with protein rules ⋮ Adaptive fuzzy integral sliding mode control of blood glucose level in patients with type 1 diabetes: in silico studies ⋮ Inverse optimal control via diagonal stabilization applied to attitude tracking of a reusable launch vehicle ⋮ A methodical survey of mathematical model-based control techniques based on open and closed loop control approach for diabetes management

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