Model Predictive Control (MPC) has emerged as a versatile and robust strategy in modern control engineering, enabling controllers to predict future system behaviour and optimise performance over a ...

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 ...

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 ...

Researchers from Austria’s University of Natural Resources and Life Sciences Vienna have presented a novel, low-tech model predictive control (MPC) algorithm for the grid-friendly operation of heat ...

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 ...

Predictive modelling involves using a model of a process, usually a computer model, to predict a likely outcome. Model predictive control (MPC) takes this further and uses a dynamic model to calculate ...

Tangible results. The commissioned MPC applications have delivered substantial tangible LNG train process efficiency, ...

HOUSTON, April 12 /PRNewswire/ -- PAS today announced the expansion of its leading ControlWizard Control Loop Performance Monitoring (CLPM) technology with full multivariable predictive control (MPC) ...