Topological identification in networks of dynamical systems

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 eva...

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Main Authors: Materassi, D., Innocenti, G.
Format: Conference Proceeding
Language:English
Subjects:
Biological system modeling
Computational biology
Control systems
Delay
Environmental factors
Graph theory
Network topology
Neural networks
Power system modeling
Transfer functions
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Innocenti, G.
description 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.
doi_str_mv 10.1109/CDC.2008.4739317
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subjects Biological system modeling
Computational biology
Control systems
Delay
Environmental factors
Graph theory
Network topology
Neural networks
Power system modeling
Transfer functions
title Topological identification in networks of dynamical systems
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