The main market opportunities lie in training life science professionals on Statistical Process Control to meet regulatory demands for continuous process monitoring. This supports compliance, product ...

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 ...

Aim: To demonstrate the potential of in-line nanoparticle size measurements using the NanoFlowSizer (NFS) as a PAT method. To achieve real-time process control by establishing automated regulation of ...

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 ...

How self-tuning can support an adaptive control strategy. How Model Reference Adaptive Control can improve adaptability. The different types of MRAC. A certain amount of flexibility is always good to ...

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 ...

RT-MALS can provide instantaneous measurements of adenovirus particle size and titer during downstream and fill–finish ...

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 ...