Abstract
Theory for Distributed Model Predictive Control (DMPC) is developed based on dual decomposition of the convex optimization problem that is solved in each time sample. The process to be controlled is an interconnection of several subsystems, where each subsystem corresponds to a node in a graph. We present a stopping criterion for the DMPC scheme that can be locally verified by each node and that guarantees closed loop suboptimality above a pre-specified level and asymptotic stability of the interconnected system.
Original language | English |
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Pages | 7272-7277 |
Publication status | Published - 2010 |
Event | 49th IEEE Conference on Decision and Control - Atlanta, Georgia, United States Duration: 2010 Dec 15 → … |
Conference
Conference | 49th IEEE Conference on Decision and Control |
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Country/Territory | United States |
City | Atlanta, Georgia |
Period | 2010/12/15 → … |
Subject classification (UKÄ)
- Control Engineering
Free keywords
- Distributed Model Predictive Control
- stability
- sub-optimality