1 March 1994 Using neural networks for controlling chaos
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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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul M. Alsing, Paul M. Alsing, Athanasios Gavrielides, Athanasios Gavrielides, Vassilios Kovanis, Vassilios Kovanis, "Using neural networks for controlling chaos", Proc. SPIE 2037, Chaos/Nonlinear Dynamics: Methods and Commercialization, (1 March 1994); doi: 10.1117/12.167518; https://doi.org/10.1117/12.167518


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