The high forecasting complexity of stochastically perturbed periodic orbits limits the ability to distinguish them from chaos
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DOI: 10.1007/s11071-020-05920-z
Abstract: A long-standing question in applications of dynamical systems theory is how to distinguish noisy signals from chaotic steady states. Information-theoretic measures hold promise to resolve this problem. We apply two such measures to numerically computed… read more here.
Keywords: stochastically perturbed; perturbed periodic; chaos; periodic orbits ... See more keywords