Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)

Analysis of Controllability of Complex Networks

Authors
ZongYuan Tan, Ning Cai, Jipeng Gu, Jian Zhou
Corresponding Author
ZongYuan Tan
Available Online December 2017.
DOI
https://doi.org/10.2991/mcei-17.2017.150How to use a DOI?
Keywords
Complex networks; Controllability; Stability; Node noise
Abstract
The feature-based modeling methods of networks is sharply increasing difficulty with the complication of networks, which usually extremely enhances calculated works of modeling. It leads to the fact that one could not exactly simulates system action. In order to address this problem, a dynamical simulation model that directly form by empiricism is urgently established, which is based on compressed sensing system recognition and prediction.
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Proceedings
2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
Part of series
Advances in Computer Science Research
Publication Date
December 2017
ISBN
978-94-6252-430-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/mcei-17.2017.150How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - ZongYuan Tan
AU  - Ning Cai
AU  - Jipeng Gu
AU  - Jian Zhou
PY  - 2017/12
DA  - 2017/12
TI  - Analysis of Controllability of Complex Networks
BT  - 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.150
DO  - https://doi.org/10.2991/mcei-17.2017.150
ID  - Tan2017/12
ER  -