Effective deterministic models for chaotic dynamics perturbed by noise

Abstract
The possibility of representing deterministic chaotic systems perturbed by interactive noise by a purely deterministic process with observational noise is discussed. We investigate the shadowing of pseudotrajectories of a given dynamics by trajectories of a different (nearby) dynamics. A method of constructing the effective deterministic model from observed data is presented and the relevance of this model to the observed data is verified by several quantities.

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