Network decomposition for distributed control through community detection in input–output bipartite graphs

Wentao Tang, Prodromos Daoutidis

Research output: Contribution to journalArticle

17 Scopus citations

Abstract

This paper addresses the decomposition of network systems for distributed control. We construct a novel weighted input–output bipartite graph representation of control systems, in which the input–output edge weights capture topological connectivity and short-time response sensitivities. We then introduce community detection as a network-theoretic tool to generate a decomposition with strong intra-subsystem interactions and weak inter-subsystem interactions. A modularity-based graph bisection procedure is applied recursively to determine the optimal decomposition. The proposed method is applied to a chemical process network example.

Original languageEnglish (US)
Pages (from-to)7-14
Number of pages8
JournalJournal of Process Control
Volume64
DOIs
StatePublished - Apr 2018

Keywords

  • Control architecture design
  • Distributed control
  • Network decomposition

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