Use of modeling software can help improve process understanding, and can be used in open- or closed-loop control. Process modeling is becoming established as a method to design and optimize ...

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 ...

Modeling conducted in the process development and early commercialization stages can increase process efficiency and lead to process-control improvement. A virtual plant environment, running on a PC, ...

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 ...

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 ...

Aspen Technology's Elinor Price describes how advanced process control modeling and simulation can become part of the modern control room. An upcoming feature article in January, "Changing Workforce ...

A new process control method uses a special mathematical structure to accurately estimate the internal process variables of a system, even when external sensors are damaged. Be it nuclear power plants ...

Multiscale modelling and control of thin film deposition processes encompass advanced simulation techniques that integrate phenomena occurring over disparate spatial and temporal scales. At the ...

Shrinking technology nodes and smaller process margins require improved photolithography overlay control. Generally, overlay measurement results are modeled with Cartesian polynomial functions for ...

We propose an approach for the modeling, monitoring and control of operational risk in financial institutions based on a methodology that integrates business process modeling with statistical and ...