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 supposed to be analyzed off-line. A distance function is defined in order to evaluate the “closeness” of two processes and some useful mathematical properties are derived. Theoretical results to guarantee the correctness of the identification procedure are provided as well.
Topological identification in networks of dynamical systems / Materassi, D.; Innocenti, Giacomo. - STAMPA. - (2008), pp. 823-828. (Intervento presentato al convegno 47th IEEE Conference on Decision and Control tenutosi a Cancun, Mexico nel December 9-11, 2008) [10.1109/CDC.2008.4739317].
Topological identification in networks of dynamical systems
INNOCENTI, GIACOMO
2008
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 supposed to be analyzed off-line. A distance function is defined in order to evaluate the “closeness” of two processes and some useful mathematical properties are derived. Theoretical results to guarantee the correctness of the identification procedure are provided as well.
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