Model Predictive Control (MPC) has emerged as a pivotal strategy for optimising the performance of power electronic converters and motor drive systems. By utilising an explicit model of the controlled ...

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 ...

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 ...