Model reconstruction of nonlinear dynamical systems driven by noise

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dc.creatorSmelyanskiy, V. N.
dc.creatorTimucin, D. A.
dc.creatorBandrivskyy, A.
dc.creatorLuchinsky, D. G.
dc.date2003-10-14
dc.date.accessioned2026-07-07T05:50:14Z
dc.date.available2026-07-07T05:50:14Z
dc.descriptionAn efficient technique is introduced for model inference of complex nonlinear dynamical systems driven by noise. The technique does not require extensive global optimization, provides optimal compensation for noise-induced errors and is robust in a broad range %of parameters of dynamical models. It is applied to clinically measured blood pressure signal for the simultaneous inference of the strength, directionality, and the noise intensities in the nonlinear interaction between the cardiac and respiratory oscillations.
dc.description4 pages, 2 figures
dc.identifierhttps://arxiv.org/abs/physics/0310062
dc.identifierhttp://arxiv.org/abs/physics/0310062
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/85648
dc.subjectData Analysis, Statistics and Probability
dc.subjectStatistical Mechanics
dc.subjectBiological Physics
dc.titleModel reconstruction of nonlinear dynamical systems driven by noise
dc.typetext

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