IEEE

Advancing Industrial Process Control With Deep Learning-Enhanced Model Predictive Control for Nonlinear Time-Delay Systems

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 ...
Automation

Process Control Charts Ensure Manufacturing Excellence

Process control charts are an important application of statistical process control (SPC) that are used in the management of processes in various industries with the aim of maintaining consistency, ...
manilastandard

Economic council tightens flood control project approval process

The Economy and Development (ED) Council Investment Coordination Committee – Cabinet Committee (ICC-CC), co-chaired by Finance Secretary Ralph Recto, has tightened its approval process for flood ...
pna

DOF to tighten approval process for flood control projects

MANILA – The Economy and Development (ED) Council Investment Coordination Committee - Cabinet Committee (ICC-CC), chaired by Finance Secretary Ralph Recto, has approved the adoption of a resolution ...
IEEE

Data-Driven and Physics-Assisted Machine Learning Approach for Warpage Classification and Process Parameter Optimization in a 3-D-Printed BeltClip

Abstract: 3-D printing, or additive manufacturing (AM), leverages 3-D computer-aided design models and numerical control to produce objects layer-by-layer, playing a key role in Industry 4.0 and ...
Frontiers

Variable admittance control with sEMG-based support for wearable wrist exoskeleton

Introduction: Wrist function impairment is common after stroke and heavily impacts the execution of daily tasks. Robotic therapy, and more specifically wearable exoskeletons, have the potential to ...