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 ...

Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, ...

Model-predictive design is applied to solid-dosage processes. Model-predictive design—used to define, predict, and control a process—is well established in many industries and is beginning to take ...

The Real-Time pH Process Modeling and Control Simulation Software is built in National Instruments' LabVIEW platform and includes pH process diagram, a strong-acid-strong-base pH model, a ...

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 ...

Advances in process modeling have given industry the tools to better understand the complex operations used to make medicines. The challenge now is understanding how best to combine the various ...

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 ...

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

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 ...

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 ...