Title
Analysis of Pinning-Controlled Networks: A Renormalization Approach
Abstract
In this paper, a renormalization approach is introduced for analyzing pinning-controlled networks. The renormalization process consists of two operations, edge weighting and node reduction, and is built on a new concept of passivity comparison in the sense of Lyapunov V-stability. Furthermore, a cascaded model resulted from the renormalization process in a layer structure is presented for estimating the V -stability of a network. Finally, simulation studies are presented for illustration and verification of the theoretical results.
Year
DOI
Venue
2009
10.1109/TAC.2009.2020668
IEEE Trans. Automat. Contr.
Keywords
Field
DocType
Complex networks,Large-scale systems,Humans,IP networks,Web sites,Biological neural networks,Collaboration,Transportation,Physics,Biology
Passivity,Renormalization,Lyapunov function,Weighting,Control theory,Complex network,Mathematics
Journal
Volume
Issue
ISSN
54
8
0018-9286
Citations 
PageRank 
References 
11
1.67
8
Authors
2
Name
Order
Citations
PageRank
Ji Xiang123728.37
Guanrong Chen2123781130.81