In the same vein as weather forecast models that predict developing storms, researchers have now developed a method to ...

We're a long way from having extensive powers of crime prediction, but that's not to say that it makes no sense to consider ...

This article develops a predictive-triggered model predictive control (MPC) approach based on parallel computing for continuous-time nonlinear system requiring fast response. Unlike the existing MPC ...

Shipboard carbon capture is a promising solution to help reduce carbon emissions in international shipping. In this work, we propose a data-driven dynamic modeling and economic predictive control ...

In this research work authors have experimentally validated a blend of Machine Learning and Nonlinear Model Predictive Control (NMPC) framework designed to track the temperature profile in a Batch ...

We investigate the extent to which generalization is possible for a recently developed predictive model that seeks to infer students' reading comprehension ability (as measured by end-of-year ...