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 ...

Process control and simulation lie at the heart of modern industrial operations, enabling continuous monitoring, dynamic adjustment, and predictive optimisation of complex process systems.

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 ...

Author Dr. R. Russell Rhinehart discusses his new book, Nonlinear Model-Based Control: Using First-Principles Models in Process Control, and explains why nonlinear first-principles models should be ...

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 ...

KLA leverages cutting-edge semiconductor inspection tech, partnering with industry leaders like TSMC and Samsung. This positions them to capitalize on the growing demand for 2nm and 3nm chip ...

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 ...

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 ...

Marcus Hoversland, a UW graduate and process engineer at HF Sinclair in Casper, interacts with UW students in an “Intro to Chemical Engineering” class. UW has received a generous investment from HF ...