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. The control objective is to apply parameter perturbation to drive the system from one attractor to another, assuming that the former is undesired and the latter is desired.
Download count: 0
- Digital object identifier: 10.1038/ncomms11323
- Identifier TypeInternational standard serial numberIdentifier Value2041-1723
- 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
Citation and reuse
Cite this item
This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.
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