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World Scientific Publishing, International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 04(14), p. 1405-1411, 2004

DOI: 10.1142/s0218127404009892

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Chaotification of Discrete-Time Systems Using Neurons

Journal article published in 2004 by H. S. Kwok, Wallace K. S. Tang
This paper was not found in any repository, but could be made available legally by the author.
This paper was not found in any repository, but could be made available legally by the author.

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Abstract

In this paper, a neuron is introduced for chaotifying nonchaotic discrete-time systems with arbitrary dimensions. By modeling the neuron with a hyperbolic tangent activation function, a scalar feedback signal expressed in a linear combination of the neuron outputs is used. Chaos can then be generated from the controlled discrete-time system. The existence of chaos is verified by both theoretical proof and computer simulations.