Blood glucose concentration control for type 1 diabetic patients: a non‐linear suboptimal approach

Abstract

In this study, a closed-loop treatment strategy is proposed for the control of blood glucose levels in type 1 diabetic patients. Toward this end, a non-linear technique for designing suboptimal tracking controllers, called the state-dependent Riccati equation tracker, is used based on a mathematical model of the glucose-insulin regulatory system. Since two state variables of the utilised model are not available to the controller, a non-linear filter is also designed to estimate these variables using the measured blood glucose concentration. Effects of unannounced meals and regular exercise are investigated for a nominal patient and nine diabetic patients with unknown parameters. Numerical simulations are given to show the effectiveness of the proposed treatment strategy even in the presence of parametric uncertainties and the observation noise.

Chattering ‐ free hybrid adaptive neuro‐fuzzy inference system‐particle swarm optimisation data fusion‐based BG‐level control

“…Fig. 5 shows excellent control performances by applying Palumbo, hybrid and HANFIS- Table 2 Numerical values of insulin actuator and glucose disturbances [40,47] a PSO data fusion controllers. Although the hybrid control approach has comparable performance based on Table 4, this algorithm has acceptable performance, but not excellent as illustrated in Fig.…”

“…ii. The proposed intelligent control scheme on the well known Palumbo model was done, whereas in [33,34,[45][46][47], based on BM [34], BMM [47], modified BMM [33,46] and Dalla Man model [45] which are not counted as a DDE model and have less compliance with diagnostic testing of a diabetic patient. iii.…”

Artificial Pancreas Control Strategies Used for Type 1 Diabetes Control and Treatment: A Comprehensive Analysis

“…Effects of uncertainties like meals and exercise have been investigated for 10 different patients. Important advantages of this treatment are that for T1DM patients there are no hypoglycemia conditions, and it has robustness against parametric uncertainties in glucose insulin system [141].…”

Arbitrary‐order sliding mode‐based robust control algorithm for the developing artificial pancreas mechanism

“…In this regard, numerous models are put forward by different researchers which are either classified into subcutaneous or intravenous models [11 ]. In this work, an intravenous patient model, presented by Dr. Richard Bergman, is considered which is known as Bergman minimal model and is also referred to as an intravenous glucose tolerance test (IVGTT) model [12 ]. In reality, the philological model‐based control strategy faces parametric variations due to various inter‐patient's physical characteristics which cause degradation of performance in a practical environment [13 ].…”