Using neural networks for controlling chaos
Date
1994-03Author
Alsing, Paul
Gavrielides, Athanasios
Kovanis, Vassilios
Metadata
Show full item recordAbstract
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
Grebogi and Yorke, including variants that utilize previous perturbations and/or delayed
time series data.