Abstract
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.
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.
| Original language | English |
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| Journal | I E E E Conference on Decision and Control. Proceedings |
| ISSN | 0743-1546 |
| Publication status | Published - 2010 |
| Event | 49th IEEE Conference on Decision and Control - Atlanta, United States Duration: 15 Dec 2010 → 17 Dec 2010 |
Conference
| Conference | 49th IEEE Conference on Decision and Control |
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| Country/Territory | United States |
| City | Atlanta |
| Period | 15/12/2010 → 17/12/2010 |