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 ...

Although control-oriented applications typically need fast interrupt response and an ability to efficiently process bit-level control and status information, signal-processing applications require ...

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 ...

In a recent article in the Journal of Chromatography A, lead authors Alexander Armstrong, Stephen Goldrick, PhD, and Kieran Horry, of University College London, write that “novel control strategies ...

Technology progression within advanced process control (APC) continues to evolve; however, it is the relationship among core APC developments, enabling technologies, and management practices that is ...

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 ...

NOTICE: The project that is the subject of this report was approved by the Governing Board of the National Research Council, whose members are drawn from the councils of the National Academy of ...

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 ...

Today’s common bioprocessing technologies do not efficiently develop complex biologics like cell and gene therapy and mRNA products. The at-line monitoring, off-line analytics, and legacy control ...

Recent Electric Power Research Institute (EPRI) research aims to better understand the potential of process control enhancements, such as load control, sliding pressure control, and steam temperature ...