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 ...

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 ...

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 ...

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

Bruce Slusser from Avanceon highlights how AI improves model predictive control (MPC) systems by increasing predictive accuracy and enabling real-time optimization of complex processes. The ...

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 ...

Each year a panel reviews papers nominated from the past two years and selects an article of high significance. The paper, published in 2022, describes the first experimental implementation of Model ...

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 ...