Nonparametric Identification of Kronecker Networks
Optimization and Control
2022-06-13 v1
Abstract
We address the problem to estimate a dynamic network whose edges describe Granger causality relations and whose topology has a Kronecker structure. Such a structure arises in many real networks and allows to understand the organization of complex networks. We proposed a kernel-based PEM method to learn such networks. Numerical examples show the effectiveness of the proposed method.
Keywords
Cite
@article{arxiv.2206.05156,
title = {Nonparametric Identification of Kronecker Networks},
author = {Mattia Zorzi},
journal= {arXiv preprint arXiv:2206.05156},
year = {2022}
}