  Multidimensional systems coupled via complex networks are widespread in
nature and thus frequently invoked for a large plethora of interesting
applications. From ecology to physics, individual entities in mutual
interactions are grouped in families, homogeneous in kind. These latter
interact selectively, through a sequence of self-consistently regulated steps,
whose deeply rooted architecture is stored in the assigned matrix of
connections. The asymptotic equilibrium eventually attained by the system, and
its associated stability, can be assessed by employing standard nonlinear
dynamics tools. For many practical applications, it is however important to
externally drive the system towards a desired equilibrium, which is resilient,
hence stable, to external perturbations. To this end we here consider a system
made up of $N$ interacting populations which evolve according to general rate
equations, bearing attributes of universality. One species is added to the pool
of interacting families and used as a dynamical controller to induce novel
stable equilibria. Use can be made of the root locus method to shape the needed
control, in terms of intrinsic reactivity and adopted protocol of injection.
The proposed method is tested on both synthetic and real data, thus enabling to
demonstrate its robustness and versatility.
