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.

As such, a very active area of research is the development of algorithms and implementation strategies that reduce the computational cost required by the MPC. Due to its formulation, Model Predictive ...

The presentation, by Nadav Bar, PhD, professor of chemical engineering at the Norwegian University of Science and Technology, focuses on Model Predictive Control (MPC)—the use of algorithms to ...

The enhanced plant performance achieved at the 1,477-MW Morgantown Generating Station shows the value of model predictive control in conjunction with intelligent distributed control algorithms.

Control loops can be implemented by identifying the control-loop pairings and assessing the need for MPC in each control loop (as opposed to using just PID loops). With this information, the PID ...

Researchers from Austria’s University of Natural Resources and Life Sciences Vienna have presented a novel, low-tech model predictive control (MPC) algorithm for the grid-friendly operation of ...