About this document
Model Predictive Control Overview by Raja Balan is a document available to read on EtoBox.
Model predictive control (MPC) uses an explicit dynamic model of process variables and manipulated variables to calculate control actions that force process variables to follow a specified trajectory to a target value. The control actions are based on current measurements and future predictions from the model. MPC minimizes error from the set point while treating constraints and disturbances. It can control multivariable processes and uses feedforward control.
- Author
- Raja Balan
- Language
- EN