Towards data-driven identification and control of complex networks
Author:
Affiliation:
1. Department of Automation, Shanghai Jiao Tong University, China. E-mail: xfwang@sjtu.edu.cn
Publisher
Oxford University Press (OUP)
Subject
Multidisciplinary
Link
http://academic.oup.com/nsr/article-pdf/1/3/335/31566804/nwu024.pdf
Reference6 articles.
1. Control: A perspective
2. Reconstructing propagation networks with natural diversity and identifying hidden sources
3. Compressed sensing
4. Controllability of complex networks
5. Structural controllability
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1. Challenges for the cyber-physical manufacturing enterprises of the future;Annual Reviews in Control;2019
2. Air Transport versus High-Speed Rail: An Overview and Research Agenda;Journal of Advanced Transportation;2017
3. Structural Controllability of Temporally Switching Networks;IEEE Transactions on Circuits and Systems I: Regular Papers;2016-10
4. Exploring link generation in a temporal evolution network for human mobility;Science China Technological Sciences;2015-12-18
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