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

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 c...

Full description

Saved in:
Bibliographic Details
Published in:AIChE journal 2016-09, Vol.62 (9), p.3177-3188
Main Authors: Heo, Seongmin, Daoutidis, Prodromos
Format: Article
Language:English
Subjects:
Chemical engineering
Chemical engineers
Cluster analysis
Clustering
community detection
Constituents
control
Decomposition
hierarchical clustering
Integers
Networks
Optimization
process control
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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. © 2016 American Institute of Chemical Engineers AIChE J, 62: 3177–3188, 2016
ISSN:0001-1541
1547-5905
DOI:10.1002/aic.15323