This paper addresses the problem of obtaining an estimate of a particular module of interest
that is embedded in a dynamic network with known interconnection structure. In this paper it …

In this paper we consider the identification of a linear module that is embedded in a dynamic
network using noisy measurements of the internal variables of the network. This is an …

The paper tackles the problem of identifying an individual transfer function in a network of
linear dynamical systems in the presence of loops under the assumptions that (i) only a …

Dynamic networks are structured interconnections of dynamical systems driven by external
excitation and disturbance signals. We develop the notion of network identifiability, a …

Due to advancing technology, systems in engineering are becoming increasingly complex
and interconnected. Despite the ubiquity of systems that can be modelled as interconnected …

This letter presents a technique to identify a certain transfer function in a dynamic network
when the input and the output of the transfer function are influenced by an unmeasured …

The article shows that it is possible to leverage relevant recent results developed in the area
of identification of dynamic networks to introduce a notion of robustness with respect to …

The purpose of system identification is to build mathematical models for dynamical systems
from experimental data. With the current increase in complexity of engineering systems, an …

The paper gives a survey of errors-in-variables methods in system identification.
Background and motivation are given, and examples illustrate why the identification problem …

Abstract System identification is a common tool for estimating (linear) plant models as a
basis for model-based predictive control and optimization. The current challenges in process …