Description
In spite of the recent interest and advances in linear controllability of complex networks, controlling nonlinear network dynamics remains an outstanding problem. Here we develop an experimentally feasible control framework for nonlinear dynamical networks that exhibit multistability.
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Contributors
- Wang, Le-Zhi (Author)
- Su, Riqi (Author)
- Huang, Zi-Gang (Author)
- Wang, Xiao (Author)
- Wang, Wen-Xu (Author)
- Grebogi, Celso (Author)
- Lai, Ying-Cheng (Author)
- Ira A. Fulton Schools of Engineering (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2016-04-14
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Identifier
- Digital object identifier: 10.1038/ncomms11323
- Identifier TypeInternational standard serial numberIdentifier Value2041-1723
Note
- The final version of this article, as published in Nature Communications, can be viewed online at: https://www.nature.com/articles/ncomms11323, opens in a new window
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Wang, L., Su, R., Huang, Z., Wang, X., Wang, W., Grebogi, C., & Lai, Y. (2016). A geometrical approach to control and controllability of nonlinear dynamical networks. Nature Communications, 7, 11323. doi:10.1038/ncomms11323