Network Inference using Sinusoidal Probing
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Author / Producer
Date
2021
Publication Type
Conference Paper
ETH Bibliography
yes
Citations
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Abstract
The aim of this manuscript is to present a non-invasive method to recover the network structure of a dynamical system. We propose to use a controlled probing input and to measure the response of the network, in the spirit of what is done to determine oscillation modes in large electrical networks. For a large class of dynamical systems, we show that this approach is analytically tractable and we confirm our findings by numerical simulations of networks of Kuramoto oscillators. Our approach also allows us to determine the number of agents in the network by probing and measuring a single one of them.
Permanent link
Publication status
published
External links
Book title
24th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2020)
Journal / series
Volume
54 (9)
Pages / Article No.
696 - 700
Publisher
Elsevier
Event
24th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2020) (cancelled)
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Networks; Inference processes; Jacobian matrices; Input signals; Low frequencies
Organisational unit
Notes
Conference cancelled due to Corona virus (COVID-19).