World Scientific Publishing, International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, 04(14), p. 1405-1411, 2004
DOI: 10.1142/s0218127404009892
Full text: Unavailable
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.