Lyapunov-based neural network model predictive control using metaheuristic optimization approach
This research introduces a new technique to control constrained nonlinear systems, named
Lyapunov-based neural network model predictive control using a metaheuristic optimization …
Lyapunov-based neural network model predictive control using a metaheuristic optimization …
The evolution of control algorithms in artificial pancreas: A historical perspective
G Quiroz - Annual Reviews in Control, 2019 - Elsevier
Blood glucose control algorithms have evolved since the beginnings of the artificial
pancreas in diabetes treatment. Although the main problem to solve remains as the …
pancreas in diabetes treatment. Although the main problem to solve remains as the …
Review of the Omnipod® 5 Automated Glucose Control System Powered by Horizon™ for the Treatment of Type 1 Diabetes
Type 1 diabetes (T1D) is a medical condition that requires constant management, including
monitoring of blood glucose levels and administration of insulin. Advancements in diabetes …
monitoring of blood glucose levels and administration of insulin. Advancements in diabetes …
First outpatient evaluation of a tubeless automated insulin delivery system with customizable glucose targets in children and adults with type 1 diabetes
GP Forlenza, BA Buckingham, SA Brown… - Diabetes technology …, 2021 - liebertpub.com
Background: The objective of this study was to assess the safety and effectiveness of the first
commercial configuration of a tubeless automated insulin delivery system, Omnipod® 5, in …
commercial configuration of a tubeless automated insulin delivery system, Omnipod® 5, in …
Velocity-weighting & velocity-penalty MPC of an artificial pancreas: Improved safety & performance
Abstract A novel Model Predictive Control (MPC) law for the closed-loop operation of an
Artificial Pancreas (AP) to treat type 1 diabetes is proposed. The contribution of this paper is …
Artificial Pancreas (AP) to treat type 1 diabetes is proposed. The contribution of this paper is …
Adaptive zone model predictive control of artificial pancreas based on glucose-and velocity-dependent control penalties
Objective: Zone model predictive control (MPC) has been proven to be an efficient approach
to closed-loop insulin delivery in clinical studies. In this paper, we aim to safely reduce mean …
to closed-loop insulin delivery in clinical studies. In this paper, we aim to safely reduce mean …
Advanced hybrid artificial pancreas system improves on unannounced meal response-In silico comparison to currently available system
Background and objective: Glycemic control, especially meal-related disturbance rejection,
has proven to be a major challenge for people with type 1 diabetes. In this manuscript, we …
has proven to be a major challenge for people with type 1 diabetes. In this manuscript, we …
Event-triggered model predictive control for embedded artificial pancreas systems
Objective: The development of artificial pancreas (AP) technology for deployment in low-
energy, embedded devices is contingent upon selecting an efficient control algorithm for …
energy, embedded devices is contingent upon selecting an efficient control algorithm for …
Safety and feasibility of the OmniPod hybrid closed-loop system in adult, adolescent, and pediatric patients with type 1 diabetes using a personalized model predictive …
Background: The safety and feasibility of the OmniPod personalized model predictive control
(MPC) algorithm in adult, adolescent, and pediatric patients with type 1 diabetes were …
(MPC) algorithm in adult, adolescent, and pediatric patients with type 1 diabetes were …
Plasma-insulin-cognizant adaptive model predictive control for artificial pancreas systems
An adaptive model predictive control (MPC) algorithm with dynamic adjustments of
constraints and objective function weights based on estimates of the plasma insulin …
constraints and objective function weights based on estimates of the plasma insulin …