Reinforcement learning (RL) represents a paradigm shift in process control, offering adaptive and data‐driven strategies for the management and optimisation of complex industrial processes. By ...

The process control and instrumentation minor emphasizes developing skills and knowledge in theory, software and in the field. Students graduate ready to solve complex control problems in the chemical ...

ORLANDO, Fla. — Honeywell introduced the C300PM, a flexible and cost-effective solution designed to provide a unified process control platform. The new controller enables seamless technology evolution ...

Market opportunities lie in developing and implementing SPC systems for laboratories to enhance GLP compliance. Utilizing control charts, like Nelson Rules, allows for early detection and correction ...

Proportional-integral-derivative (PID) is the most common industrial technology for closed-loop control. A proportional-integral-derivative (PID) controller can be used to control temperature, ...

Just over a decade ago, an article titled, "Advanced Control Strategies Move into the Field" (Control, October 2008), highlighted three evolving trends in the process control world that would "make ...

Jon Herlocker, co-founder and CEO of Tignis, sat down with Semiconductor Engineering to talk about how AI in advanced process control reduces equipment variability and corrects for process drift. What ...

In process automation, an alarm is defined as an audible and/or visible means of indicating to the operator an equipment malfunction, process deviation, or abnormal condition requiring an operator ...

Vacuum degassing processes in low carbon steel production improve material properties, with real-time gas analysis critical ...

Systematic methodology is the key to quickly and effectively troubleshooting control circuits. Even the most experienced troubleshooter must rely on a systematic troubleshooting process to solve ...