Optimal blood glucose regulation of diabetic patients using single network adaptive critics

DOI10.1002/oca.920zbMath1215.92024OpenAlexW2137126666MaRDI QIDQ3008847

Radhakant Padhi, S. Faruque Ali

Publication date: 22 June 2011

Published in: Optimal Control Applications and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/oca.920

zbMATH Keywords

nonlinear optimal controladaptive critic designdiabetes controloptimal neuro control

Mathematics Subject Classification ID

Feedback control (93B52) Neural networks for/in biological studies, artificial life and related topics (92B20) Application models in control theory (93C95) Medical applications (general) (92C50)

Related Items

Model predictive control of blood sugar in patients with type-1 diabetes ⋮ Single network adaptive critic aided dynamic inversion for optimal regulation and command tracking with online adaptation for enhanced robustness ⋮ Delay-independent regulation of blood glucose for type-1 diabetes mellitus patients via an observer-based predictor feedback approach by considering quantization constraints ⋮ Inverse optimal neural control of blood glucose level for type 1 diabetes mellitus patients ⋮ Model‐free optimal tracking over finite horizon using adaptive dynamic programming ⋮ A grid-based tool for optimal performance monitoring of a glycemic regulator ⋮ Fractional Order Back Stepping Sliding Mode Control for Blood Glucose Regulation in Type I Diabetes Patients ⋮ Adaptive Fractional Order Sliding Mode Controller Design for Blood Glucose Regulation-4-3 ⋮ Robust observer-based adaptive control of blood glucose in diabetic patients

Cites Work

• A single network adaptive critic (SNAC) architecture for optimal control synthesis for a class of nonlinear systems
• Blood glucose regulation using higher‐order sliding mode control
• Unnamed Item