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.

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 ...

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 ...

he Rockwell Automation Pavilion8 Model Predictive Control application helps manufacturers achieve precision in a dynamic market, reducing product variability, while increasing yield and lowering ...

At California Institute of Technology, he helped build interdisciplinary research environments Morari helped turn MPC from ...

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 ...

We are proud to welcome Manfred Morari into the 2026 class of the Process Automation Hall of Fame! Manfred’s work in model ...

ARTIFICIAL intelligence is advancing rapidly. But adoption in process industries will be slower – and for good reason.

In this article, as in industry, advanced process control (APC) refers primarily to multi-variable control. Multivariable control means adjusting multiple single-loop controllers in unison, to meet ...