Clustered model reduction of positive directed networks

This paper proposes a clustered model reduction method for semistable positive linear systems evolving over directed networks. In this method, we construct a set of clusters, i.e., disjoint sets of state variables, based on a notion of cluster reducibility, defined as the uncontrollability of local...

Full description

Bibliographic Details

Published in:	Automatica (Oxford) Vol. 59; pp. 238 - 247
Main Authors:	Ishizaki, Takayuki, Kashima, Kenji, Girard, Antoine, Imura, Jun-ichi, Chen, Luonan, Aihara, Kazuyuki
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.09.2015 Elsevier
Subjects:	Automatic Chemical master equations Computer Science Engineering Sciences Mathematics Model reduction Network clustering Optimization and Control Positive linear systems Systems and Control Network clustering Model reduction Chemical master equations Positive linear systems
ISSN:	0005-1098, 1873-2836
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!