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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Vydáno v:	Automatica (Oxford) Ročník 59; s. 238 - 247
Hlavní autoři:	Ishizaki, Takayuki, Kashima, Kenji, Girard, Antoine, Imura, Jun-ichi, Chen, Luonan, Aihara, Kazuyuki
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.09.2015 Elsevier
Témata:	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
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