Characteristic modelling of complex networks

Lei Chen; Xinghuo Yu; Changyin Sun

doi:10.1109/ICIT.2016.7474958

Characteristic modelling of complex networks

Lei Chen, Xinghuo Yu, Changyin Sun

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

This paper proposes a data-based characteristic model of complex networks that is suitable for control design and analysis. A compression method called characteristic modelling is used to reduce the complexity of dynamic networks and the model with topology-structure preservation is proposed to describe the networks in a concise and explicit way. Based on the controllability and observability of complex networks, the minimal dimensional characteristic model is constructed for control design, which captures the major information of the networks. This modelling method also has the advantage of modelling changeable networks and finding the optimal driver nodes to control the networks. The application to complex networks show the effectiveness and easy implement of the characteristic modelling method.

Original language	English
Title of host publication	Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1372-1377
Number of pages	6
ISBN (Electronic)	9781467380751
DOIs	https://doi.org/10.1109/ICIT.2016.7474958
Publication status	Published - 19 May 2016
Externally published	Yes
Event	IEEE International Conference on Industrial Technology, ICIT 2016 - Taipei, Taiwan, Province of China Duration: 14 Mar 2016 → 17 Mar 2016

Publication series

Name	Proceedings of the IEEE International Conference on Industrial Technology
Volume	2016-May

Conference

Conference	IEEE International Conference on Industrial Technology, ICIT 2016
Country/Territory	Taiwan, Province of China
City	Taipei
Period	14/03/16 → 17/03/16

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10.1109/ICIT.2016.7474958

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Chen, L., Yu, X., & Sun, C. (2016). Characteristic modelling of complex networks. In Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016 (pp. 1372-1377). Article 7474958 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2016-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2016.7474958

@inproceedings{eac76a0e124548fba23e0b00f8e31dd7,

title = "Characteristic modelling of complex networks",

abstract = "This paper proposes a data-based characteristic model of complex networks that is suitable for control design and analysis. A compression method called characteristic modelling is used to reduce the complexity of dynamic networks and the model with topology-structure preservation is proposed to describe the networks in a concise and explicit way. Based on the controllability and observability of complex networks, the minimal dimensional characteristic model is constructed for control design, which captures the major information of the networks. This modelling method also has the advantage of modelling changeable networks and finding the optimal driver nodes to control the networks. The application to complex networks show the effectiveness and easy implement of the characteristic modelling method.",

author = "Lei Chen and Xinghuo Yu and Changyin Sun",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; IEEE International Conference on Industrial Technology, ICIT 2016 ; Conference date: 14-03-2016 Through 17-03-2016",

year = "2016",

month = may,

day = "19",

doi = "10.1109/ICIT.2016.7474958",

language = "English",

series = "Proceedings of the IEEE International Conference on Industrial Technology",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1372--1377",

booktitle = "Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016",

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}

Chen, L, Yu, X & Sun, C 2016, Characteristic modelling of complex networks. in Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016., 7474958, Proceedings of the IEEE International Conference on Industrial Technology, vol. 2016-May, Institute of Electrical and Electronics Engineers Inc., pp. 1372-1377, IEEE International Conference on Industrial Technology, ICIT 2016, Taipei, Taiwan, Province of China, 14/03/16. https://doi.org/10.1109/ICIT.2016.7474958

Characteristic modelling of complex networks. / Chen, Lei; Yu, Xinghuo; Sun, Changyin.
Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1372-1377 7474958 (Proceedings of the IEEE International Conference on Industrial Technology; Vol. 2016-May).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Characteristic modelling of complex networks

AU - Chen, Lei

AU - Yu, Xinghuo

AU - Sun, Changyin

PY - 2016/5/19

Y1 - 2016/5/19

N2 - This paper proposes a data-based characteristic model of complex networks that is suitable for control design and analysis. A compression method called characteristic modelling is used to reduce the complexity of dynamic networks and the model with topology-structure preservation is proposed to describe the networks in a concise and explicit way. Based on the controllability and observability of complex networks, the minimal dimensional characteristic model is constructed for control design, which captures the major information of the networks. This modelling method also has the advantage of modelling changeable networks and finding the optimal driver nodes to control the networks. The application to complex networks show the effectiveness and easy implement of the characteristic modelling method.

AB - This paper proposes a data-based characteristic model of complex networks that is suitable for control design and analysis. A compression method called characteristic modelling is used to reduce the complexity of dynamic networks and the model with topology-structure preservation is proposed to describe the networks in a concise and explicit way. Based on the controllability and observability of complex networks, the minimal dimensional characteristic model is constructed for control design, which captures the major information of the networks. This modelling method also has the advantage of modelling changeable networks and finding the optimal driver nodes to control the networks. The application to complex networks show the effectiveness and easy implement of the characteristic modelling method.

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U2 - 10.1109/ICIT.2016.7474958

DO - 10.1109/ICIT.2016.7474958

M3 - Conference contribution

AN - SCOPUS:84974555935

T3 - Proceedings of the IEEE International Conference on Industrial Technology

SP - 1372

EP - 1377

BT - Proceedings - 2016 IEEE International Conference on Industrial Technology, ICIT 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Conference on Industrial Technology, ICIT 2016

Y2 - 14 March 2016 through 17 March 2016

ER -

Characteristic modelling of complex networks

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