Analysis of Controllability of Complex Networks

DOI

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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017)
PB  - Atlantis Press
SP  - 706
EP  - 709
SN  - 2352-538X
UR  - https://doi.org/10.2991/mcei-17.2017.150
DO  - 10.2991/mcei-17.2017.150
ID  - Tan2017/12
ER  -