Please wait a minute...
Chin. Phys. B, 2010, Vol. 19(7): 070508    DOI: 10.1088/1674-1056/19/7/070508
GENERAL Prev   Next  

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

Liu Hao (刘昊), Song Yu-Rong (宋玉蓉), Fan Chun-Xia (樊春霞), Jiang Guo-Ping (蒋国平)
College of Automation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
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)
[1] Improved control of distributed parameter systems using wireless sensor and actuator networks: An observer-based method
Zheng-Xian Jiang(江正仙), Bao-Tong Cui(崔宝同), Xu-Yang Lou(楼旭阳), Bo Zhuang(庄波). Chin. Phys. B, 2017, 26(4): 040201.
[2] Consensus for second-order multi-agent systems with position sampled data
Rusheng Wang(王如生), Lixin Gao(高利新), Wenhai Chen(陈文海), Dameng Dai(戴大蒙). Chin. Phys. B, 2016, 25(10): 100202.
[3] A novel observer design method for neural mass models
Liu Xian (刘仙), Miao Dong-Kai (苗东凯), Gao Qing (高庆), Xu Shi-Yun (徐式蕴). Chin. Phys. B, 2015, 24(9): 090207.
[4] Transportation-cyber-physical-systems-oriented engine cylinder pressure estimation using high gain observer
Li Yong-Fu (李永福), Kou Xiao-Pei (寇晓培), Zheng Tai-Xiong (郑太雄), Li Yin-Guo (李银国). Chin. Phys. B, 2015, 24(5): 058901.
[5] Observer of a class of chaotic systems: An application to Hindmarsh-Rose neuronal model
Luo Run-Zi (罗润梓), Zhang Chun-Hua (张春华). Chin. Phys. B, 2015, 24(3): 030503.
[6] Full-order sliding mode control of uncertain chaos in a permanent magnet synchronous motor based on a fuzzy extended state observer
Chen Qiang (陈强), Nan Yu-Rong (南余荣), Zheng Heng-Huo (郑恒火), Ren Xue-Mei (任雪梅). Chin. Phys. B, 2015, 24(11): 110504.
[7] PC synchronization of a class of chaotic systems via event-triggered control
Luo Run-Zi (罗润梓), He Long-Min (何龙敏). Chin. Phys. B, 2014, 23(7): 070506.
[8] Output regulation for linear multi-agent systems with unmeasurable nodes
Liang Hong-Jing (梁洪晶), Zhang Hua-Guang (张化光), Wang Zhan-Shan (王占山), Wang Jun-Yi (王军义). Chin. Phys. B, 2014, 23(1): 018902.
[9] Continuous-time chaotic systems:Arbitrary full-state hybrid projective synchronization via a scalar signal
Giuseppe Grassi. Chin. Phys. B, 2013, 22(8): 080505.
[10] Reliability of linear coupling synchronization of hyperchaotic systems with unknown parameters
Li Fan (李凡), Wang Chun-Ni (王春妮), Ma Jun (马军). Chin. Phys. B, 2013, 22(10): 100502.
[11] Arbitrary full-state hybrid projective synchronization for chaotic discrete-time systems via a scalar signal
Giuseppe Grassi . Chin. Phys. B, 2012, 21(6): 060504.
[12] Topology identification for a class of complex dynamical networks using output variables
Fan Chun-Xia(樊春霞), Wan You-Hong(万佑红), and Jiang Guo-Ping(蒋国平) . Chin. Phys. B, 2012, 21(2): 020510.
[13] Robust H observer-based control for synchronization of a class of complex dynamical networks
Zheng Hai-Qing(郑海青) and Jing Yuan-Wei(井元伟). Chin. Phys. B, 2011, 20(6): 060504.
[14] A novel robust proportional-integral (PI) adaptive observer design for chaos synchronization
Mahdi Pourgholi and Vahid Johari Majd . Chin. Phys. B, 2011, 20(12): 120503.
[15] Generalized projective synchronization via the state observer and its application in secure communication
Wu Di(吴迪) and Li Juan-Juan(李娟娟). Chin. Phys. B, 2010, 19(12): 120505.
No Suggested Reading articles found!