On Identification of Networked Systems with Time-invariant Topology

Abstract:

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.

Año de publicación:

2015

Keywords:

• Maximum likelihood
• Networked systems
• Time-invariant topology
• identification

Fuente:

scopus