A novel state-aggregation method for a dynamical bidirectional network with an input, which we call network clustering, is introduced to generate a multilayered network model. In addition, the concept of a hierarchical distributed observer based on this model is briefly discussed as a possible framework for realizing glocal control.

Inspec keywords: time-varying systems; pattern clustering; large-scale systems; observers

Other keywords: state-aggregation method; network clustering; hierarchical distributed observer; dynamical bidirectional network; glocal control; large-scale dynamical networks clustering; multilayered network model

Subjects: Time-varying control systems