Abstract Type 1 diabetes (T1D) is one of the world's health problems with a prevalence of
1.1 million for children and young adults under the age of 20. T1D is a health problem …

Over the past decade, there has been an unprecedented international focus on improved
quality and availability of medical care, which has reignited interest in clinical automation …

In this paper a new robust fractional-order predictive controller is presented and employed to
regulate the glucose level in type-1 diabetes. The dynamics of the system is fully unknown …

This work presents a pulsatile Zone Model Predictive Control (pZMPC) for the control of
blood glucose concentration (BGC) in patients with Type 1 Diabetes Mellitus (T1DM). The …

Abstract A Model Predictive Control (MPC) approach with integral action, called Integral
MPC (IMPC), for Artificial Pancreas systems is proposed. IMPC ensures beneficial effects in …

An adaptive and personalized multivariable artificial pancreas (mAP) system using plasma
insulin estimates is proposed to efficiently accommodate major disturbances to the blood …

This brief is focused on the closed-loop control of postprandial glucose levels of patients
with type 1 diabetes mellitus after unannounced meals, which is still a major challenge …

In silico simulations have become essential for the development of diabetes treatments.
However, currently available simulators are not challenging enough and often suffer from …

Controlling blood glucose levels in diabetic patients is important for managing their health
and quality of life. Several algorithms based on model predictive control and reinforcement …

People with type 1 diabetes (T1D) must monitor their blood glucose concentration and
administer insulin to keep blood glucose values within a desirable range of 70-180 mg/dL …