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Erschienen in:
2011 | OriginalPaper | Buchkapitel
6. Multirate Distributed Model Predictive Control
verfasst von : Panagiotis D. Christofides, Jinfeng Liu, David Muñoz de la Peña
Erschienen in: Networked and Distributed Predictive Control
Verlag: Springer London
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Abstract
In Chap. 6, a multirate distributed model predictive control design for large-scale nonlinear uncertain systems with fast and slowly sampled states is developed. The distributed model predictive controllers are connected through a shared communication network and cooperate in an iterative fashion at time instants in which both fast and slowly sampled measurements are available, to guarantee closed-loop stability. When only local subsystem fast sampled state information is available, the distributed controllers operate in a decentralized fashion to improve closed-loop performance. In the design of the distributed controllers, bounded measurement noise, process disturbances and communication noise are also taken into account. Using a reactor–separator process example, the stability property and performance of the multirate distributed predictive control architecture is illustrated.