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)


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
Early online date9 Apr 2018
Publication statusPublished - 1 Jul 2018


  • Distributed model predictive control
  • Constrained systems
  • Scalable DMPC

Fingerprint Dive into the research topics of 'Scalable distributed model predictive control for constrained systems'. Together they form a unique fingerprint.

  • Cite this