Abstract: Quality of the Model Predictive Control (MPC) depends significantly on the predictive model. With the growing availability of industrial data, researchers are increasingly adopting ...

Abstract: In model predictive control (MPC), the voltage vector coefficient in the predictive model is closely linked to the model parameters, significantly affecting control performance. However, ...

Partnership launches AI solution to enhance predictive heart valve visualization and personalize valve treatment planning decisions enabling the future of TAVR for structural heart patients DUBLIN, OH ...

This document provides a detailed explanation of the MATLAB code that demonstrates the application of the Koopman operator theory for controlling a nonlinear system using Model Predictive Control (MPC ...

Results: The MIMIC-IV and eICU-CRD datasets comprised 6129 and 709 patients, respectively, who were included in the analysis. Fifty-four features were selected to construct the predictive model.

Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China Objectives: To study the characteristic factors associated with ...

Department of Chemistry, University of Pittsburgh, Pittsburgh, Pennsylvania 15260, United States ...

Forbes contributors publish independent expert analyses and insights. David Henkin helps organizations and individuals innovate and grow. Predictive analytics has evolved from a niche discipline into ...

During model development, it is essential to focus on model quality, including reducing bias risk, designing appropriate sample sizes, conducting external validation, and ensuring model ...