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 ...

Even after 20 years or so, process control continues to be a confusing or misunderstood technology. A short description of process control is an accurate one—It’s a means of controlling manufacturing ...

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 ...

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, ...

Starting with the sensor, measuring and controlling temperature is an essential building block of process industries. Automatic control in continuous processes uses industrial control systems to ...

Collaboration brings together refrigeration engineering expertise and industrial AI to optimize performance, energy ...