Approach to predictability via anticipated synchronization.

Abstract

[eng] Predictability of chaotic systems is limited, in addition to the precision of the knowledge of the initial</p><p>conditions, by the error of the models used to extract the nonlinear dynamics from the time series. In this paper,</p><p>we analyze the predictions obtained from the anticipated synchronization scheme using a chain of slave neural</p><p>network approximate replicas of the master system. We compare the maximum prediction horizons obtained</p><p>with those attainable using standard prediction techniques.