Literature DB >> 26328552

Classifying and quantifying basins of attraction.

J C Sprott1, Anda Xiong1.   

Abstract

A scheme is proposed to classify the basins for attractors of dynamical systems in arbitrary dimensions. There are four basic classes depending on their size and extent, and each class can be further quantified to facilitate comparisons. The calculation uses a Monte Carlo method and is applied to numerous common dissipative chaotic maps and flows in various dimensions.

Year:  2015        PMID: 26328552     DOI: 10.1063/1.4927643

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


  2 in total

1.  Role of Graph Architecture in Controlling Dynamical Networks with Applications to Neural Systems.

Authors:  Jason Z Kim; Jonathan M Soffer; Ari E Kahn; Jean M Vettel; Fabio Pasqualetti; Danielle S Bassett
Journal:  Nat Phys       Date:  2017-09-25       Impact factor: 20.034

2.  A New Fractional-Order Chaotic System with Different Families of Hidden and Self-Excited Attractors.

Authors:  Jesus M Munoz-Pacheco; Ernesto Zambrano-Serrano; Christos Volos; Sajad Jafari; Jacques Kengne; Karthikeyan Rajagopal
Journal:  Entropy (Basel)       Date:  2018-07-28       Impact factor: 2.524

  2 in total

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