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Distributed Model Predictive Control with Suboptimality and Stability Guarantees

In English

Författare

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.

Publiceringsår

2010

Språk

Engelska

Sidor

7272-7277

Dokumenttyp

Konferensbidrag

Ämne

  • Control Engineering

Nyckelord

  • 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

Forskningsgrupp

  • LCCC