CHAOTIFICATION OF DISCRETE-TIME SYSTEMS USING NEURONS
2004 ◽
Vol 14
(04)
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pp. 1405-1411
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Keyword(s):
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.
2014 ◽
Vol 496-500
◽
pp. 1630-1633
Keyword(s):
2013 ◽
Vol 2013
◽
pp. 1-5
◽
2015 ◽
Vol 2015
◽
pp. 1-5
◽
2007 ◽
Vol 38
(3)
◽
pp. 205-208
◽
2016 ◽
Vol 2016
◽
pp. 1-10
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1969 ◽
Vol 2
(8)
◽
pp. T133-T136
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Keyword(s):