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Networked dynamic systems are often abstracted as directed graphs, where the observed system processes form the vertex set and directed edges are used to represent non-zero transfer functions. Recovering the exact underlying graph structure of such a
Externí odkaz:
http://arxiv.org/abs/2012.02332
Autor:
Materassi, Massimo
Some ideas are presented about the physical motivation of the apparent capacity of generalized logistic equations to describe the outbreak of the COVID-19 infection, and in general of quite many other epidemics. The main focuses here are: the complex
Externí odkaz:
http://arxiv.org/abs/2004.04819
Reconstructing a network of dynamic systems from observational data is an active area of research. Many approaches guarantee a consistent reconstruction under the relatively strong assumption that the network dynamics is governed by strictly causal t
Externí odkaz:
http://arxiv.org/abs/2003.02870
Publikováno v:
Sci Rep 10, 20744 (2020)
We consider networks of dynamical units that evolve in time according to different laws, and are coupled to each other in highly irregular ways. Studying how to steer the dynamics of such systems towards a desired evolution is of great practical inte
Externí odkaz:
http://arxiv.org/abs/2002.09922
Autor:
Massimo Materassi, Yenca Migoya-Orué, Sandro Maria Radicella, Tommaso Alberti, Giuseppe Consolini
Publikováno v:
Atmosphere, Vol 15, Iss 1, p 84 (2024)
Theoretical modelling of the local ionospheric medium (LIM) is made difficult by the occurrence of irregular ionospheric behaviours at many space and time scales, making prior hypotheses uncertain. Investigating the LIM from scratch with the tools of
Externí odkaz:
https://doaj.org/article/99954a9bb2ce4b4092490a1f57a80196
Autor:
Materassi, Massimo
The concept of stochastic Lagrangian and its use in statistical dynamics is illustrated theoretically, and with some examples. Dynamical variables undergoing stochastic differential equations are stochastic processes themselves, and their realization
Externí odkaz:
http://arxiv.org/abs/1907.01109
Network systems have become a ubiquitous modeling tool in many areas of science where nodes in a graph represent distributed processes and edges between nodes represent a form of dynamic coupling. When a network topology is already known (or partiall
Externí odkaz:
http://arxiv.org/abs/1905.12132
Autor:
Talukdar, Saurav, Deka, Deepjyoti, Doddi, Harish, Materassi, Donatello, Chertkov, Misha, Salapaka, Murti V.
Learning influence pathways of a network of dynamically related processes from observations is of considerable importance in many disciplines. In this article, influence networks of agents which interact dynamically via linear dependencies are consid
Externí odkaz:
http://arxiv.org/abs/1809.10535
Autor:
Biparva, Darya *, Materassi, Donatello *
Publikováno v:
In IFAC PapersOnLine 2023 56(2):2383-2388
Autor:
Quattrociocchi, Virgilio, Consolini, Giuseppe, Materassi, Massimo, Alberti, Tommaso, Pietropaolo, Ermanno
Publikováno v:
In Chaos, Solitons & Fractals: X December 2022 9