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...

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Veröffentlicht in:	Automatica (Oxford) Jg. 59; S. 238 - 247
Hauptverfasser:	Ishizaki, Takayuki, Kashima, Kenji, Girard, Antoine, Imura, Jun-ichi, Chen, Luonan, Aihara, Kazuyuki
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2015 Elsevier
Schlagworte:	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-Zugang:	Volltext
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