Prandial Insulin Dosing Using Run-to-Run Control: Application of clinical data and medical expertise to define a suitable performance metric

Prandial insulin dosing using run-to-run control: application of clinical data and medical expertise to define a suitable performance metric.

OBJECTIVE We propose a novel algorithm to adjust prandial insulin dose using sparse blood glucose measurements. The dose is adjusted on the basis of a performance measure for the same meal on the previous day. We determine the best performance measure and tune the algorithm to match the recommendations of experienced physicians. RESEARCH DESIGN AND METHODS Eleven subjects with type 1 diabetes...

Clinical update on optimal prandial insulin dosing using a refined run-to-run control algorithm.

BACKGROUND This article provides a clinical update using a novel run-to-run algorithm to optimize prandial insulin dosing based on sparse glucose measurements from the previous day's meals. The objective was to use a refined run-to-run algorithm to calculate prandial insulin-to-carbohydrate ratios (I:CHO) for meals of variable carbohydrate content in subjects with type 1 diabetes (T1DM). METH...

A run-to-run framework for prandial insulin dosing: handling real-life uncertainty

Individuals with type 1 diabetes require frequent adjustment of their insulin dose to maintain as near to normal glycaemia as possible. This process is not only burdensome but also, for many, difficult to achieve. As a result, control algorithms to facilitate insulin dosage have been proposed, but have not been completely successful in normalizing glycaemia. Here we present a novel run-to-run c...

Run-to-Run Control in Semiconductor Manufacturing

Run-to-run Optimization via Constraint Control

Run-to-run optimization methodologies exploit the repetitive nature of batch processes to find the optimal operating policy in the presence of uncertainty. For the class of batch optimization problems where the solution is determined by terminal constraints, the update of the decision variables towards their optimal values is realized using a constraint control scheme. The methodology is adapte...