Abstract
A suboptimal feedback controller implemented by a multilayer feed-forward neural network is presented to control the unpredictable behavior of chaotic systems. The controller has been tested on the Lorenz and the Rössler systems using numerical simulation. Results show that chaotic systems, subject to feedback control, can be tamed to behave like a system having point attractors with associated basins of attraction.
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Yeap, T.H., Ahmed, N.U. Feedback control of chaotic systems. Dynamics and Control 4, 97–114 (1994). https://doi.org/10.1007/BF02115741
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DOI: https://doi.org/10.1007/BF02115741