An Interdisciplinary Journal

2003, Vol.6, No.1, pp.524-533

Nonlinear Identification of Complex Geomagnetic Models: An Innovative Approach.
G. Currenti, C. Del Negro, L. Fortuna, A. Vicari

Geomagnetic fluctuations observed on the ground are closely interrelated to external magnetic fields of ionospheric and magnetospheric origins. Assuming that the magnetosphere evolves in a coherent and organized way, a low-dimensional analogue model was studied to understand its dynamics. Theoretical studies have shown that the magnetosphere belongs to the class of dissipative chaotic systems. Following on from this description of the magnetosphere, we propose an innovative method for chaotic dynamical system identification from measured data. We describe geomagnetic activity in terms of a relatively simple nonlinear dynamical analogue model, whose parameters are determined in such a way that the simulated output signal synchronizes with the data acquired from the magnetic monitoring network at Etna volcano.
Key words: geomagnetic field, synchronization, modeling, genetic algorithm

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