Title :
Topological identification in networks of dynamical systems
Author :
Materassi, D. ; Innocenti, G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
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.
Keywords :
time-varying systems; distance function; dynamical systems; topological network structure identification; Biological system modeling; Computational biology; Control systems; Delay; Environmental factors; Graph theory; Network topology; Neural networks; Power system modeling; Transfer functions;
Conference_Titel :
Decision and Control, 2008. CDC 2008. 47th IEEE Conference on
Conference_Location :
Cancun
Print_ISBN :
978-1-4244-3123-6
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2008.4739317
