Model predictive control (MPC) is a well-established technology for multivariable processes that was originally developed in the 1970s with the introduction of digital computer-based control systems.

In a groundbreaking advancement for motor control, Model-Free Predictive Control (MFPC) technology has emerged as a ...

Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...

Applying model-predictive methods and a continuous process-control framework to a continuous tablet-manufacturing process. Currently, there is a high level of interest in the pharmaceutical industry ...

The vendor’s PlantTriage Performance Supervision Software now provides supervision of Model Predictive Controllers (MPC). Without performance supervision in place, MPC controller performance often ...

Model predictive control is not just a contemporary solution but a future-ready approach that promises to revolutionize biopharmaceutical manufacturing.

Predictive modeling uses known results to create, process, and validate a model that can be used to forecast future outcomes.

Using Model Predictive Control (MPC) techniques, the task is addressed in an optimization problem framework. SAE International is a global association of more than 128,000 engineers and related ...