Identifiability conditions for single or multiple modules in a dynamic network specify under
which conditions the considered modules can be uniquely recovered from the second-order …

A recent research direction in data-driven modeling is the identification of dynamic networks,
in which measured vertex signals are interconnected by dynamic edges represented by …

Identifiability of a single module in a network of transfer functions is determined by whether a
particular transfer function in the network can be uniquely distinguished within a network …

This work focuses on the identifiability of dynamical networks with partial excitation and
measurement: a set of nodes are interconnected by unknown transfer functions according to …

We derive conditions for the identifiability of nonlinear networks characterized by additive
dynamics at the level of the edges when all the nodes are excited. In contrast to linear …

This article considers dynamic networks where vertices and edges represent manifest
signals and causal dependencies among the signals, respectively. We address the problem …

This paper studies generic identifiability of dynamic networks, in which the edges connecting
the vertex signals are described by proper transfer functions, and partial vertices are excited …

For identifiability of a single module in a dynamic network, excitation signals need to be
allocated at particular nodes in the network. Current techniques provide analysis tools for …

The identifiability study of dynamical systems is a property that ensures the uniqueness of
parameters with respect to the model's measurement (s). Several methods exist, but for …

This paper deals with the design of Excitation and Measurement Patterns (EMP) for the
identification of a class of dynamical networks whose topology has the structure of a …