Using neural networks for controlling chaos

P. M. Alsing, A. Gavrielides, V. Kovanis

Research output: Contribution to journalArticlepeer-review

37 Citations (Scopus)

Abstract

A feed-forward backpropagating neutral network is trained to achieve and maintain control of the unstable periodic orbits embedded in a chaotic attractor. The controlling algorithms used for training the network are based on the now standard scheme developed by Ott, Grebogi, and Yorke [Phys. Rev. Lett. 64, 1196 (1990)], including variants that utilize previous perturbations and/or delayed time-series data.

Original languageEnglish
Pages (from-to)1225-1231
Number of pages7
JournalPhysical Review E
Volume49
Issue number2
DOIs
Publication statusPublished - Jan 1 1994
Externally publishedYes

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

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