High level model predictive control for plug-and-play process control with stability guaranty

In this paper a method for designing a stabilizing high level model predictive controller for a hierarchical plug and-play process is presented. This is achieved by abstracting the lower layers of the controller structure as low order models with uncertainty and by using a robust model predictive controller for generating the references for these. A simulation example, in which the actuators in a process control system are changed, is reported to show the potential of this approach for plug and play process control.