Control-relevant decomposition of process networks via optimization-based hierarchical clustering

Seongmin Heo, Prodromos Daoutidis

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

A systematic method is proposed for control-relevant decomposition of complex process networks. Specifically, hierarchical clustering methods are adopted to identify constituent subnetworks such that the components of each subnetwork are strongly interacting while different subnetworks are loosely coupled. Optimal clustering is determined through the solution of integer optimization problems. The concept of relative degree is used to measure distance between subnetworks and compactness of subnetworks. The application of the proposed method is illustrated using an example process network.

Original languageEnglish (US)
Pages (from-to)3177-3188
Number of pages12
JournalAIChE Journal
Volume62
Issue number9
DOIs
StatePublished - Jan 1 2016

Keywords

  • community detection
  • control
  • hierarchical clustering
  • networks
  • optimization
  • process control

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