Distributed Model Predictive Control with Suboptimality and Stability Guarantees

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Sammanfattning

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.
Originalspråkengelska
Sidor7272-7277
StatusPublished - 2010
Evenemang49th IEEE Conference on Decision and Control - Atlanta, Georgia, USA
Varaktighet: 2010 dec. 15 → …

Konferens

Konferens49th IEEE Conference on Decision and Control
Land/TerritoriumUSA
OrtAtlanta, Georgia
Period2010/12/15 → …

Ämnesklassifikation (UKÄ)

  • Reglerteknik

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