Topological identification in networks of dynamical systems

D. Materassi, G. Innocenti

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

3 Scopus citations

Abstract

The paper deals with the problem of identifying the topological structure of a network of dynamical systems. The dependencies among the measured signals are assumed linear and the approach is non causal, that is data are assumed to be analized off-line. A distance function is defined in order to evaluate the "closeness" of two processes and a few useful mathematical properties are derived. Theoretical results to guarantee the correctness of the identification procedure are provided as well.

Original languageEnglish (US)
Title of host publicationProceedings of the 47th IEEE Conference on Decision and Control, CDC 2008
Pages823-828
Number of pages6
DOIs
StatePublished - 2008
Event47th IEEE Conference on Decision and Control, CDC 2008 - Cancun, Mexico
Duration: Dec 9 2008Dec 11 2008

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0191-2216

Other

Other47th IEEE Conference on Decision and Control, CDC 2008
CountryMexico
CityCancun
Period12/9/0812/11/08

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