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 ...

I recently surveyed the on-site development of the control system for a large concentrated solar power station. This “first of a kind” facility offered many control challenges, such as balancing heat ...

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 ...

Distributed control systems and programmable logic controllers have long been used to regulate power plant operations, but advanced techniques that have been proven in refining and other industries ...

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 ...

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 ...

When it comes to process-control systems, reliability is crucial and failure can be costly or dangerous. A combination of good design practices, component selection, and testing can enhance ...