Literature DB >> 12779585

Investigating nonlinear dynamics from time series: The influence of symmetries and the choice of observables.

Christophe Letellier1, Luis A. Aguirre.   

Abstract

When a dynamical system is investigated from a time series, one of the most challenging problems is to obtain a model that reproduces the underlying dynamics. Many papers have been devoted to this problem but very few have considered the influence of symmetries in the original system and the choice of the observable. Indeed, it is well known that there are usually some variables that provide a better representation of the underlying dynamics and, consequently, a global model can be obtained with less difficulties starting from such variables. This is connected to the problem of observing the dynamical system from a single time series. The roots of the nonequivalence between the dynamical variables will be investigated in a more systematic way using previously defined observability indices. It turns out that there are two important ingredients which are the complexity of the coupling between the dynamical variables and the symmetry properties of the original system. As will be mentioned, symmetries and the choice of observables also has important consequences in other problems such as synchronization of nonlinear oscillators. (c) 2002 American Institute of Physics.

Year:  2002        PMID: 12779585     DOI: 10.1063/1.1487570

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  10 in total

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2.  Observability of Neuronal Network Motifs.

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3.  Finger tapping movements of Parkinson's disease patients automatically rated using nonlinear delay differential equations.

Authors:  C Lainscsek; P Rowat; L Schettino; D Lee; D Song; C Letellier; H Poizner
Journal:  Chaos       Date:  2012-03       Impact factor: 3.642

4.  Discovering independent parameters in complex dynamical systems.

Authors:  Claudia Lainscsek; Jonathan Weyhenmeyer; Terrence J Sejnowski; Christophe Letellier
Journal:  Chaos Solitons Fractals       Date:  2015-07       Impact factor: 5.944

Review 5.  Principles and open questions in functional brain network reconstruction.

Authors:  Onerva Korhonen; Massimiliano Zanin; David Papo
Journal:  Hum Brain Mapp       Date:  2021-05-20       Impact factor: 5.038

6.  A symbolic network-based nonlinear theory for dynamical systems observability.

Authors:  Christophe Letellier; Irene Sendiña-Nadal; Ezequiel Bianco-Martinez; Murilo S Baptista
Journal:  Sci Rep       Date:  2018-02-28       Impact factor: 4.379

7.  Structural, dynamical and symbolic observability: From dynamical systems to networks.

Authors:  Luis A Aguirre; Leonardo L Portes; Christophe Letellier
Journal:  PLoS One       Date:  2018-10-31       Impact factor: 3.240

8.  Reconstructing mammalian sleep dynamics with data assimilation.

Authors:  Madineh Sedigh-Sarvestani; Steven J Schiff; Bruce J Gluckman
Journal:  PLoS Comput Biol       Date:  2012-11-29       Impact factor: 4.475

9.  Observability and Controllability of Nonlinear Networks: The Role of Symmetry.

Authors:  Andrew J Whalen; Sean N Brennan; Timothy D Sauer; Steven J Schiff
Journal:  Phys Rev X       Date:  2015-01-23       Impact factor: 15.762

10.  A simple method for detecting chaos in nature.

Authors:  Daniel Toker; Friedrich T Sommer; Mark D'Esposito
Journal:  Commun Biol       Date:  2020-01-03
  10 in total

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