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Generalized variable projective synchronization of time delayed systems
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10.1063/1.4791589
/content/aip/journal/chaos/23/1/10.1063/1.4791589
http://aip.metastore.ingenta.com/content/aip/journal/chaos/23/1/10.1063/1.4791589
View: Figures

Figures

Image of FIG. 1.
FIG. 1.

Gallery of chaotic attractors formed by the neural oscillator (10) by the Phase-space portrait with vs . The chaotic attractors are formed due to different types of delays especially time varying delays. (a) ; (b) ; (c) ; (d) ; (e) ; (f) (g); ; (h) ; (i) ; (j). ; (k) ; (l).

Image of FIG. 2.
FIG. 2.

Numerical simulations of GVPS for the neural oscillator (10) . (a) represents the maximum upper bound in y scale for different values of δ in x scale. It is seen that an increase in the rate of increases the upper bound . (b) represents the norm of error trajectories taken as a function of δ after control applied to achieve the GVPS. (c) and (d) represent the absolute of the error states and norm of error states before applying the nonlinear control. The error trajectories approaches zero as the time progresses, which proves the existence of GVPS which can be seen from (e).

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/content/aip/journal/chaos/23/1/10.1063/1.4791589
2013-02-14
2014-04-23
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Generalized variable projective synchronization of time delayed systems
http://aip.metastore.ingenta.com/content/aip/journal/chaos/23/1/10.1063/1.4791589
10.1063/1.4791589
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