Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2009-09-16
Chaos, 19, 033108, (2009)
Physics
Condensed Matter
Disordered Systems and Neural Networks
16 Pages, 5 figures
Scientific paper
10.1063/1.3186458
We address the issue of how to identify the equations of a largely unknown chaotic system from knowledge about its state evolution. The technique can be applied to the estimation of parameters that drift slowly with time. To accomplish this, we propose an adaptive strategy that aims at synchronizing the unknown real system with another system whose parameters are adaptively evolved to converge on those of the real one. Our proposed strategy is tested to identify the equations of the Lorenz and the Rossler systems. We also consider the effects of measurement noise and of deviation of our fitting model from consistency with the true dynamics.
Ott Edward
Sorrentino Francesco
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