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 ...

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 ...

Model predictive control (MPC) has emerged as a powerful methodology for optimising the performance of grinding mill circuits in mineral processing. By utilising a dynamic model of the process, MPC ...

Partnerships between OEMs and industrial control system vendors often only involve the integration of PLCs or components in the machines. But with consumer behavior changing market demands—especially ...

Rockwell Automation Pavilion8 Model Predictive Control (MPC) software now empowers engineers to design and execute step tests faster, safer and more accurately. Unlike manual step tests that must be ...

A new technique able to forecast how changes to parameters will impact biomanufacturing processes could revolutionize drug production, save manufacturers time and money, and help increase access to ...

The two most common categories of process responses in industrial manufacturing processes are self-regulating and integrating. A self-regulating process response to a step input change is ...

Overlay control based on DI metrology of optical targets has been the primary basis for run-to-run process control for many years. In previous work we described a scenario where optical overlay ...

Across the semiconductor industry, both FD-SOI and finFET transistor technologies are in high volume production, with IC manufacturers looking to extend both technologies to gain additional ...