We apply Monte Carlo simulation for performance quantification and tuning of controllers in
nonlinear closed-loop systems. Computational feasibility of large-scale Monte Carlo …

In this work, we present a switching nonlinear model predictive control (NMPC) algorithm for
a dual-hormone artificial pancreas (AP), and we use maximum likelihood estimation (MLE) …

In this paper, we propose a virtual clinical trial for assessing the performance and identifying
risks in closed-loop diabetes treatments. Virtual clinical trials enable fast and risk-free tests …

In this paper, we present nonlinear system identification and nonlinear model predictive
control (NMPC) for a laboratory-scale adiabatic continuous stirred tank reactor (CSTR) with …

We model and simulate an exothermic reaction conducted in an adiabatic continuous stirred
tank reactor (CSTR). The system has multiple steady states in part of its operating window …

In this paper, we present and compare different methods for computing the likelihood
function and its gradient. We consider nonlinear continuous-discrete models described by a …

In this study, we review recently proposed advanced methods based on various techniques
in order to improve blood glucose control while avoiding an increased risk of hypoglycemia …

For people with type 1 diabetes and some with type 2 diabetes, the problem of insulin
titration, ie finding an adequate basal rate of insulin, is a complex and time-consuming task …

We propose a virtual clinical trial for assessing the safety and efficacy of closed-loop
diabetes treatments prior to an actual clinical trial. Such virtual trials enable rapid and risk …

抄録 Maintaining appropriate blood glucose levels within an acceptable range is essential
for patients with type 1 diabetes. Zone model predictive control seeks to maintain its output …