Hierarchical network identification of large-scale systems — Homogeneous case

Recently, dynamical systems which appear in engineering and science problems become increasingly larger and too complex. One of the ways to solve the difficulty is to model the systems with hierarchical and network structures. In this talk, we propose a framework of the hierarchical network identification which models large-scale systems with such structures. This framework identifies both subsystems and network structure by making use of a partial information on the structure and internal signals. We first reduce the hierarchical network identification problem to an identification problem of state feedback systems under some assumptions on the homogeneity of subsystems and the network structure. As a main result, we derive an identification method for the hierarchical network systems based on the joint input-output approach.