Using neural networks for controlling chaos

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

doi:10.1103/PhysRevE.49.1225

Using neural networks for controlling chaos

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

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	1225-1231
Number of pages	7
Journal	Physical Review E
Volume	49
Issue number	2
DOIs	https://doi.org/10.1103/PhysRevE.49.1225
Publication status	Published - Jan 1 1994
Externally published	Yes

ASJC Scopus subject areas

Statistical and Nonlinear Physics
Statistics and Probability
Condensed Matter Physics

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Using neural networks for controlling chaos

Abstract

ASJC Scopus subject areas

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