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Distributed Model Predictive Control with Suboptimality and Stability Guarantees

Publiceringsår: 2010
Språk: Engelska
Sidor: 7272-7277
Dokumenttyp: Konferensbidrag


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.


  • Control Engineering
  • Distributed Model Predictive Control
  • stability
  • sub-optimality


49th IEEE Conference on Decision and Control
  • LCCC-lup-obsolete

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