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.

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 ...

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

Model-predictive control . Various control systems can be implemented on the flowsheet model in the form of simple PID loops (15) or with advanced model-predictive control (MPC) (17). Control loops ...

The technique—model predictive control (MPC)—is a forward-thinking, prediction-based approach, says Alois Jungbauer, professor at the Austrian Center of Industrial Biotechnology in Vienna, ...

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

Predictive modeling uses known results to create, process, and validate a model to forecast future outcomes. It is a tool used in predictive analytics , a data mining technique.