Literature DB >> 11736063

Reconstruction of time-delay systems from chaotic time series.

B P Bezruchko1, A S Karavaev, V I Ponomarenko, M D Prokhorov.   

Abstract

We propose a method that allows one to estimate the parameters of model scalar time-delay differential equations from time series. The method is based on a statistical analysis of time intervals between extrema in the time series. We verify our method by using it for the reconstruction of time-delay differential equations from their chaotic solutions and for modeling experimental systems with delay-induced dynamics from their chaotic time series.

Year:  2001        PMID: 11736063     DOI: 10.1103/PhysRevE.64.056216

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  2 in total

1.  Impact of Noise on a Dynamical System: Prediction and Uncertainties from a Swarm-Optimized Neural Network.

Authors:  C H López-Caraballo; J A Lazzús; I Salfate; P Rojas; M Rivera; L Palma-Chilla
Journal:  Comput Intell Neurosci       Date:  2015-07-30

2.  Mathematical modeling of the cardiovascular autonomic control in healthy subjects during a passive head-up tilt test.

Authors:  Yurii M Ishbulatov; Anatoly S Karavaev; Anton R Kiselev; Margarita A Simonyan; Mikhail D Prokhorov; Vladimir I Ponomarenko; Sergey A Mironov; Vladimir I Gridnev; Boris P Bezruchko; Vladimir A Shvartz
Journal:  Sci Rep       Date:  2020-10-05       Impact factor: 4.379

  2 in total

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