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 ...

Designed with ease of use in mind, the software modernizes the graphical user interface while retaining the rigorous and robust calculation engine from the company's Connoisseur APC (Advanced Process ...

In the manufacturing world, the word “retrofit” many times is feared to mean “lost production.” In other words, plants—or at least parts of plants—must be shut down for equipment to be upgraded. And ...

Deciphering complex interactions between variables is where machine learning and deep learning shine, but figuring out exactly how ML-based systems will be most useful is the job of engineers. The ...

Jon Herlocker, co-founder and CEO of Tignis, sat down with Semiconductor Engineering to talk about how AI in advanced process control reduces equipment variability and corrects for process drift. What ...

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 ...

Robust and well-maintained control system optimization, advanced process control, and model-based predictive control can increase production, decrease costs, and autonomously operate the mill of the ...

May 22, 2014. Rudolph Technologies Inc. announced that it has completed a record number of installations for its ARTIST fault detection and classification (FDC) and ProcessWORKS advanced process ...

The advantages of microLED over other display technologies. The manufacturing flow and where process control comes into play for microLED display fabrication. The challenges in manufacturing microLED ...