Dynamic optimisation and model predictive control (MPC) are at the forefront of modern process systems engineering, offering robust methodologies to address the challenges posed by time-varying ...

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

Advanced packaging is transforming semiconductor manufacturing into a multi-dimensional challenge, blending 2D front-end wafer fabrication with 2.5D/3D assemblies, high-frequency device ...

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 is the second in a series of discussions with Mike Glass, owner of Orion Technical Solutions, on ensuring data integrity ...

Increasingly tight tolerances and rigorous demands for quality are forcing chipmakers and equipment manufacturers to ferret out minor process variances, which can create significant anomalies in ...

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 ...

Starting with the sensor, measuring and controlling temperature is an essential building block of process industries. Automatic control in continuous processes uses industrial control systems to ...

Discover how AI, flow chemistry, and NMR come together in the PiPAC project to revolutionize scalable and autonomous API ...

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 ...