DocumentCode
1151692
Title
Analysis of Pinning-Controlled Networks: A Renormalization Approach
Author
Xiang, Ji ; Chen, Guanrong
Author_Institution
Dept. of Syst. Sci. & Eng., Zhejiang Univ., Hangzhou, China
Volume
54
Issue
8
fYear
2009
Firstpage
1869
Lastpage
1875
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.
Keywords
Lyapunov methods; renormalisation; stability; Lyapunov V-stability; edge weighting; node reduction; pinning controlled network analysis; renormalization approach; Biological neural networks; Biology; Collaboration; Complex networks; Humans; IP networks; Large-scale systems; Physics; Transportation; Web sites; Complex network; Lyapunov $V$ -stability; layer; passivity; pinning control; renormalization;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2009.2020668
Filename
5175311
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