Adaptive control system for blood glucose regulation

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Abstract
An adaptive scheme for blood glucose regulation is investigated via model-based approaches. The system has the capability of compensating in an on-line manner individual differences and parameter variations in the blood glucose regulation of diabetic subjects. The adaptive control algorithm consists of two types of controllers: a self-tuning regulator for adaptively performing model-matching to the reference model, and an error feedback controller to minimise the output error between the actual glucose level and the desired decreasing profile specified by physicians. It is shown through numerical simulations and animal experiments that in the presence of large parameter variations and disturbances due to food intake, the control algorithm can work efficiently compared to a conventional control algorithm with fixed parameters.