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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

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.

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    Date Created
    • 2016-04-14
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    Identifier
    • Digital object identifier: 10.1038/ncomms11323
    • Identifier Type
      International standard serial number
      Identifier Value
      2041-1723
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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

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