Analysis of Controllability of Complex Networks
- 10.2991/mcei-17.2017.150How to use a DOI?
- Complex networks; Controllability; Stability; Node noise
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.
- © 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/).
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 - 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 -