Scalable distributed model predictive control for constrained systems

Elham (Fatemeh) Asadi*, Arthur Richards

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)

6 Citations (Scopus)
230 Downloads (Pure)

Abstract

A distributed model predictive control strategy is proposed for subsystems sharing a limited resource. Self-organized Time Division Multiple Access is used to coordinate subsystem controllers in a sequence such that no two re-optimize simultaneously. This new approach requires no central coordination or pre-organized optimizing sequence. The scheme guarantees satisfaction of coupled constraints despite dynamic entry and exit of subsystems.

Original languageEnglish
Pages (from-to)407-414
Number of pages8
JournalAutomatica
Volume93
Early online date9 Apr 2018
DOIs
Publication statusPublished - 1 Jul 2018

Keywords

  • Distributed model predictive control
  • Constrained systems
  • Scalable DMPC

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