Topology Learning of Radial Dynamical Systems with Latent Nodes
Topology Learning of Radial Dynamical Systems with Latent Nodes
In this article, we present a method to reconstruct the topology of a partially observed radial network of linear dynamical systems with bi-directional interactions. Our approach exploits the structure of the inverse power spectral density matrix and recovers edges involving nodes up to four hops away in the underlying topology. …