On identification of networked systems with time-invariant topology

This paper studies the problem of identification for networked systems. We consider both heterogeneous and homogeneous networks. It is assumed that the interconnection topology is time-invariant and known. We demonstrate how the parameter matrices of each individual subsystem can be identified from the input-output information obtained from the whole network. To this end, the well-known technique of Maximum-likelihood (ML) is exploited for obtaining estimations of system matrices