NDLI: Controlling chaos with a neural network

Content Provider	IEEE Xplore Digital Library
Author	Frison, T.W.
Copyright Year	1992
Description	Author affiliation: Randle Inc., Great Falls, VA, USA (Frison, T.W.)
Abstract	Chaotic situations may occur in complex systems as a normal operating mode or may accidentally be induced due to a change in some system parameter. The author reports one approach to the use of feedforward networks to dampen chaotic oscillations in Duffing's oscillator. A catastrophic failure of the neural network controller is also studied. For networks with a single hidden layer, a point of diminishing returns was encountered as the size of the hidden layer increased. Suppression improves slightly as the hidden layer size increases. The larger networks take longer to train and are less responsive to changes in oscillator dynamics; however the larger networks recover faster after a transient disturbance in the oscillator dynamics. The majority of the tests were conducted on a network with a single hidden layer of 50 elements. The addition of more hidden layers provided only marginal improvements in suppression at the expense of much longer training times.
Starting Page	75
Ending Page	80
File Size	381747
Page Count	6
File Format	PDF
ISBN	0780305590
DOI	10.1109/IJCNN.1992.226981
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-06-07
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Neural networks Oscillators Acceleration Control systems Control system synthesis Feeds Magnetic levitation Concatenated codes History
Content Type	Text
Resource Type	Article

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