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

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 ...

Discover how alarm data operational intelligence is improving safety, reliability, and performance across complex oil and gas ...

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 ...

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Process control can be viewed as the executive portion of a unit process. It provides the means to direct a process so that it produces the desired results. It is complementary to the role played by ...

Pharmaceutical companies must use advanced, data-driven strategies to stay competitive while ensuring consistent product quality, high efficiency, and peak productivity. These involve continuous ...

Continuous-process industries are at an inflection point regarding what they can do with automation, making now an ideal time to address inefficiencies and hazards. The era of the remote workforce has ...

In this interview, Kevin Broadbelt of Thermo Fisher Scientific discusses the small molecule applications of process Raman spectroscopy. How do cell therapies differ in complexity compared to ...

Research in dynamics includes theoretical, computational and experimental research in the general area of dynamical systems, dynamics and vibrations, dynamics of flexible bodies, high-dimensional ...