TL;DR
This paper reviews recent mathematical and computational advances in controlling high-dimensional nonlinear network dynamics, highlighting their potential to solve complex scientific problems across disciplines.
Contribution
It introduces new approaches for controlling complex nonlinear networks and discusses their applications in addressing scientific challenges.
Findings
Recent methods enable control of high-dimensional nonlinear networks
Network control techniques can address pressing scientific problems
Advances facilitate interventions under general constraints
Abstract
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 network 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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