Fault diagnosis of time-delay complex dynamical networks using output signals

doi:10.1088/1674-1056/19/7/070508

Abstract This paper proposes a novel approach for fault diagnosis of a time-delay complex dynamical network. Unlike the other methods, assuming that the dynamics of the network can be described by a linear stochastic model, or using the state variables of nodes in the network to design an adaptive observer, it only uses the output variable of the nodes to design an observer and an adaptive law of topology matrix in the observer of a complex network, leading to simple design of the observer and easy realisation of topology monitoring for the complex networks in real engineering. The proposed scheme can monitor any changes of the topology structure of a time-delay complex network. The effectiveness of this method is successfully demonstrated by virtue of a complex networks with Lorenz model.

Keywords: time-delay complex dynamical networks fault diagnosis observer output variable

Accepted manuscript online:

PACS:	89.75.Hc	(Networks and genealogical trees)
	02.10.Yn	(Matrix theory)
	02.40.Re	(Algebraic topology)
	89.20.Kk	(Engineering)

Fund: Project supported in part by the Program for New Century Excellent Talents in University of China (Grant No. NCET-06-0510), and in part by the National Natural Science Foundation of China (Grant No. 60874091).

Cite this article:

Liu Hao (刘昊), Song Yu-Rong (宋玉蓉), Fan Chun-Xia (樊春霞), Jiang Guo-Ping (蒋国平) Fault diagnosis of time-delay complex dynamical networks using output signals 2010 Chin. Phys. B 19 070508

[1]	Zhu L, Lai Y C, Hoppensteadt F C and He J 2005 Math. Bios. Engineering 2 1
[2]	Tang W K S, Mao Y and Kocarev L 2007 IEEE Int. Symp. Circuits Syst. 27--30 May 2007 p2646
[3]	Barabasi A L, Albert R and Jeong H 1999 Phys. A 272 173
[4]	Lou X Y and Cui B T 2008 Acta Phys. Sin. bf57 2060 (in Chinese)
[5]	Li C, Sun W and Kurths J 2007 Phys. Rev. E 76 046204
[6]	Zhou J and Lu J 2007 Phys. A 386 481
[7]	Wu X Q 2008 Phys. A 387 997
[8]	Tang H W, Chen L, Lu J and Tse C K 2008 Phys. A 387 5623
[9]	Jiang G P, Tang W K S and Chen G 2006 IEEE. Trans. Circuits Syst. I 53 2739
[10]	Li R, Duan Z S and Chen G 2009 Chin. Phys. B 18 106
[11]	Hu J B, Han Y and Zhao L D 2008 Acta Phys. Sin. 57 7522 (in Chinese)
[12]	Gao Y, Li L X, Peng H P, Yang Y X and Zhang X H 2008 Acta Phys. Sin. bf57 2081 (in Chinese)

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Fault diagnosis of time-delay complex dynamical networks using output signals

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