This study considers the parameter identification problem of a pseudo‐linear autoregressive
moving average system (ie linear‐in‐parameter autoregressive output‐error ARMA …

Hypoglycemia is a major challenge of artificial pancreas systems and a source of concern
for potential users and parents of young children with Type 1 diabetes (T1D). Early alarms to …

This brief introduces recursive modeling techniques that take account of variations in blood
glucose concentration within and between individuals. It describes their use in develo** …

Closed-loop control of blood glucose concentration is an alternative treatment for Diabetes
patients by automatically controlling their blood glucose level. Recursive time-series models …

Recursive time series models can describe effectively and accurately complex systems with
time-varying parameters. These simple models can be used in forecasting and control …

A significant fraction of industrial MPC schemes employs linear prediction models. Closed
loop performance of a linear model based MPC scheme can deteriorate over a period of …

In the process industry, black box linear perturbation models are often used for the
development of model predictive controllers. Maintaining a high-quality model so as to …

Over the last three decades, Model Predictive Control (MPC) has emerged as an important
tool for handling constrained multivariable control problems. Most of the commercially …

An artificial pancreas control system automates insulin pumps by using a closed-loop
controller that receives information from sensors, computes the optimal insulin amount to be …

Regulering av blodsukkernivået er en av flere viktige prosesser i kroppen. Å opprettholde
stabile verdier er viktig for å forhindre komplikasjonene et dårlig regulert blodsukker bringer …