Abstract: In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative ...

Background Postoperative cerebral infarction following coronary artery bypass grafting (CABG) for multivessel coronary artery ...

Leila Bridgeman is steadily laying foundations for the software needed to precisely control the large, complex networks of ...

A new physics-based algorithm clears a path toward nuclear microreactors that can autonomously adjust power output based on ...

Abstract: Model predictive control (MPC) is increasingly employed in modular multilevel converters (MMC) control due to its flexible management and rapid response capabilities. It is still challenging ...