1. Model predictive control and its applications
- A large number of manipulated and controlled variables.
- Constraints imposed on both the manipulated and controlled variables.
- Changing control objectives and/or equipment (censor/actuator) failure

2. MPC applies to an internal model to predict the future behaviour of the process

3. Why use MPC? It’s multivariable One may have actuatorlimitations
Replaces classical logics, and smart solutions, such as
Buffertanks(n.: forlag)
Integrator wind up
One may overcome problems like
Bottlenecks
Quality fluctuations