Background: With the rise of electric vehicles (EVs), Smart Vehicle-to-Grid (V2G) Systems
have emerged as a promising technology, enabling EVs to interact with the power grid for …

Banking fraud prevention and risk management are paramount in the modern financial
landscape, and the integration of Artificial Intelligence (AI) offers a promising avenue for …

Livestock farming plays a crucial role in global food production, necessitating the adoption of
advanced technologies to improve efficiency and animal welfare. This research explores the …

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 …

This letter presents systematic tests to determine if a particular transfer function in an
interconnected system is strictly proper or has a feedthrough. Considering a strictly proper …

In the era of interconnected power systems, the resilience of smart grids against cyber-
physical attacks has emerged as a paramount concern. The integration of renewable energy …

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 …

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 …

In this dissertation we take a graph-theoretic approach to address different aspects of
identification of dynamic networks. We consider a class of networks where each node is …

For consistent identification of a target module in a dynamic network with the local direct
method, basically two prime conditions need to be satisfied:(a) a set of structural conditions …