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An increasing number of complex systems are now modeled as networks of coupled dynamical entities. Nonlinearity and high-dimensionality are hallmarks of the dynamics of such networks but have generally been regarded as obstacles to control. Here, I discuss recent advances on mathematical and computational approaches to control high-dimensional nonlinear
dynamics under general constraints on the admissible interventions. I also discuss the potential of network
control to address pressing scientific problems in various disciplines.
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