Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/82817
Title: Minimum-cost control of complex networks
Authors: Li, Guoqi
Hu, Wuhua
Xiao, Gaoxi
Deng, Lei
Tang, Pei
Pei, Jing
Shi, Luping
Keywords: complex networks
minimum energy cost
projected gradient method
Issue Date: 2015
Source: Li, G., Hu, W., Xiao, G., Deng, L., Tang, P., Pei, J., et al. (2016). Minimum-cost control of complex networks. New Journal of Physics, 18, 013012-.
Series/Report no.: New Journal of Physics
Abstract: Finding the solution for driving a complex network at the minimum energy cost with a given number of controllers, known as the minimum-cost control problem, is critically important but remains largely open. We propose a projected gradient method to tackle this problem, which works efficiently in both synthetic and real-life networks. The study is then extended to the case where each controller can only be connected to a single network node to have the lowest connection complexity. We obtain the interesting insight that such connections basically avoid high-degree nodes of the network, which is in resonance with recent observations on controllability of complex networks. Our results provide the first technical path to enabling minimum-cost control of complex networks, and contribute new insights to locating the key nodes from a minimum-cost control perspective.
URI: https://hdl.handle.net/10356/82817
http://hdl.handle.net/10220/40298
ISSN: 1367-2630
DOI: 10.1088/1367-2630/18/1/013012
Rights: Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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