Model Predictive Control (MPC) has emerged as a leading strategy in advanced process control, offering the ability to anticipate future process behaviour and manage constraints in dynamic systems.

Any talk of model-based predictive control (MPC) still conjures up images of dollar or euro signs in the minds of many engineers. For in the past, MPC and other forms of advanced process control (APC) ...

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 ...

a, Results based on the previous algorithm using an exponential auxiliary function. The concave shape of the exponential function fails to match the initial convex trend of the actual robust function ...

Today’s ac servo systems are much different than those built even 10 years ago. Faster processors and higher resolution encoders are enabling manufacturers to implement amazing advances in tuning ...

Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have different boiling points. Typically, a mixture of ...

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 ...

Researchers have developed a predictive energy management framework for megawatt-class parallel hybrid-electric regional ...

In order for wind turbines to function effectively across wide ranges of wind conditions, you’ll need what’s known as blade pitch control. Lucy Pao, the Palmer Endowed Chair Professor in the ...