Chaotification of discrete-time systems using neurons
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 1405-1411 |
Journal / Publication | International Journal of Bifurcation and Chaos in Applied Sciences and Engineering |
Volume | 14 |
Issue number | 4 |
Publication status | Published - Apr 2004 |
Link(s)
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.
Research Area(s)
- Chaotification, Discrete-time system, Neuron
Citation Format(s)
Chaotification of discrete-time systems using neurons. / Kwok, H. S.; Tang, Wallace K.S.
In: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, Vol. 14, No. 4, 04.2004, p. 1405-1411.
In: International Journal of Bifurcation and Chaos in Applied Sciences and Engineering, Vol. 14, No. 4, 04.2004, p. 1405-1411.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review