Using neural nets for controlling chaos

Paul M. Alsing; Athanasios Gavrielides; Vassilios Kovanis

doi:10.1117/12.167518

1 March 1994 Using neural networks for controlling chaos

Paul M. Alsing, Athanasios Gavrielides, Vassilios Kovanis

Proceedings Volume 2037, Chaos/Nonlinear Dynamics: Methods and Commercialization; (1994) https://doi.org/10.1117/12.167518
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

Abstract

A feed-forward backpropagating neural 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, Gregogi and Yorke, including variants that utilize previous perturbations and/or delayed time series data.

Citation Download Citation

Paul M. Alsing, Athanasios Gavrielides, and Vassilios Kovanis "Using neural networks for controlling chaos", Proc. SPIE 2037, Chaos/Nonlinear Dynamics: Methods and Commercialization, (1 March 1994); https://doi.org/10.1117/12.167518

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