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 ...

Model predictive control (MPC) has emerged as a pivotal strategy in the control of complex industrial, automotive and energy systems. By solving an optimisation problem over a finite horizon, MPC ...

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 ...

AI buzz is everywhere. Take a look at how you can begin to prepare for the future of process-control AI by following these ...

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 ...

The study proposes a decentralised smart EV-grid integration framework that distributes control intelligence across local ...

Scientists in Japan have used a deep reinforcement learning–based AI model to calculate discrepancies between the planned and ...

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 ...