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 ...

In this article, as in industry, advanced process control (APC) refers primarily to multi-variable control. Multivariable control means adjusting multiple single-loop controllers in unison, to meet ...

This asynchronous course addresses the basic theory behind Statistical Process Control (SPC), a method used in monitoring and controlling the quality of a process through statistical analysis to ...

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 ...

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 ...

Shrinking technology nodes and smaller process margins require improved photolithography overlay control. Generally, overlay measurement results are modeled with Cartesian polynomial functions for ...

Additive manufacturing, also known as 3D printing, has had a major impact on the contemporary design and production process. First developed in 1988 with the aim of allowing for rapid prototyping, ...

Author Patrick Bouwman explains how his book, Fundamentals of Process Control: Principles and Concepts, helps up-and-coming automation professionals build a solid foundation. What inspired you to ...

Embedding Methodology in the Control System of a Plant Increases Its Utility Biotech processes should be standardized as much as possible to produce optimum product yields. On-line off-gas analysis is ...

At some point in our lives, we have dropped a drinking glass or knocked over a glass-blown knickknack, only to watch it hit the floor and shatter into pieces. We learn from any early age that glass is ...