A new architecture for the identification of lumped models of distributed parameter systems is proposed in this paper. It is assumed to use, by means of repeated measurements or intensive simulations, the Frequency Response Analysis (FRA) of the system or device under exam. The procedure can be used to extract the component values. A key element of this architecture is a multilayer neural network with multi-valued neurons (MLMVN), which is modified in the paper in order to use arbitrary complex-valued inputs. It is shown that this modification requires just a slight change in the MLMVN learning algorithm.

System identification using FRA and a modified MLMVN with arbitrary complex-valued inputs / Aizenberg, Igor; Luchetta, Antonio; Manetti, Stefano; Piccirilli, Maria Cristina. - CD-ROM. - 2016-:(2016), pp. 4404-4411. (Intervento presentato al convegno 2016 International Joint Conference on Neural Networks, IJCNN 2016 tenutosi a Vancouver Convention Centre, can nel 2016) [10.1109/IJCNN.2016.7727775].

System identification using FRA and a modified MLMVN with arbitrary complex-valued inputs

LUCHETTA, ANTONIO;MANETTI, STEFANO;PICCIRILLI, MARIA CRISTINA
2016

Abstract

A new architecture for the identification of lumped models of distributed parameter systems is proposed in this paper. It is assumed to use, by means of repeated measurements or intensive simulations, the Frequency Response Analysis (FRA) of the system or device under exam. The procedure can be used to extract the component values. A key element of this architecture is a multilayer neural network with multi-valued neurons (MLMVN), which is modified in the paper in order to use arbitrary complex-valued inputs. It is shown that this modification requires just a slight change in the MLMVN learning algorithm.
2016
Proceedings of the International Joint Conference on Neural Networks
2016 International Joint Conference on Neural Networks, IJCNN 2016
Vancouver Convention Centre, can
2016
Aizenberg, Igor; Luchetta, Antonio; Manetti, Stefano; Piccirilli, Maria Cristina
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1072165
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