This system utilizes machine learning algorithms to optimize the operation of particle accelerators, reducing manual intervention and enhancing precision in real-time control. By integrating virtual ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

AI can be added to legacy motion control systems in three phases with minimal disruption: data collection via edge gateways, non-interfering anomaly detection and supervisory control integration.

Electrical power systems engineers need practical methods for predicting solar output power under varying environmental conditions of a single panel. By integrating an Arduino-based real-time data ...

At the end of February, PICMG (PCI Industrial Computer Manufacturers Group)—the consortium for open hardware specifications—introduced InterEdge, a modular architecture for process control systems ...

A 2022 study published in the National Library of Medicine at the National Center for Biotechnology Information found that more than 44% of people with upper limb loss abandon their prostheses, citing ...

Over the years, we’ve seen operators with lots of experience do some amazing things with their machines. Maybe they have an eye for adjustments that improve precision, or perhaps they know which ...