Inferring the structure of polytree networks of dynamic systems with hidden nodes

Firoozeh Sepehr, Donatello Materassi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

In many application scenarios the underlying structure of a distributed system is described by using a graph representing the influence among its individual components. Indeed, given an unknown complex system, deriving information about its connectivity structure is often the first step to understand its fundamental mechanisms. There are several techniques in the scientific literature to infer influence diagrams for networks of dynamic systems, however, most of them can not deal with the presence of latent (unmeasured) components. The article provides sufficient conditions for reconstruction of networks of dynamic systems with polytree structure in the presence of latent nodes. No a priori assumptions are made about the location and number of hidden nodes.

Original languageEnglish (US)
Title of host publication2016 IEEE 55th Conference on Decision and Control, CDC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4618-4623
Number of pages6
ISBN (Electronic)9781509018376
DOIs
StatePublished - Dec 27 2016
Externally publishedYes
Event55th IEEE Conference on Decision and Control, CDC 2016 - Las Vegas, United States
Duration: Dec 12 2016Dec 14 2016

Publication series

Name2016 IEEE 55th Conference on Decision and Control, CDC 2016

Other

Other55th IEEE Conference on Decision and Control, CDC 2016
CountryUnited States
CityLas Vegas
Period12/12/1612/14/16

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