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Distributed Model Predictive Control with Suboptimality and Stability Guarantees

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Author

Summary, in English

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.

Publishing year

2010

Language

English

Pages

7272-7277

Document type

Conference paper

Topic

  • Control Engineering

Keywords

  • Distributed Model Predictive Control
  • stability
  • sub-optimality

Conference name

49th IEEE Conference on Decision and Control

Conference date

2010-12-15

Conference place

Atlanta, Georgia, United States

Status

Published

Research group

  • LCCC