2002
DOI: 10.1103/physreve.66.017204
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Inverse anticipating chaos synchronization

Abstract: We report a new type of chaos synchronization:inverse anticipating synchronization, where a time delay chaotic system x can drive another system y in such a way that the driven system anticipates the driver by synchronizing with its inverse future state:y(t) = −x(t + τ ),τ > 0. We extend the concept of inverse anticipating chaos synchronization to cascaded systems. We propose means for the experimental observation of inverse anticipating chaos synchronization in external cavity lasers. PACS number (s) . Applic… Show more

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Cited by 42 publications
(40 citation statements)
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“…19 could be further generalized to investigate the complete synchronization of other oscillators, such as the Lorenz-type systems, 29,30 the BAM neural network models 31 and the complex networks, and even some other types of synchronization, such as generalized synchronization due to parameter mismatches. 32 However, it should be mentioned that when one is to make these generalizations, an extended invariance principle for stochastic differential equations should be developed. This is because, take the Lorenz-type systems, for example, the nonlinear term in the systems does not satisfy the globally Lipschitz condition, so that the boundedness of the sampling path generated by the noise-perturbed systems cannot be guaranteed.…”
Section: Discussionmentioning
confidence: 99%
“…19 could be further generalized to investigate the complete synchronization of other oscillators, such as the Lorenz-type systems, 29,30 the BAM neural network models 31 and the complex networks, and even some other types of synchronization, such as generalized synchronization due to parameter mismatches. 32 However, it should be mentioned that when one is to make these generalizations, an extended invariance principle for stochastic differential equations should be developed. This is because, take the Lorenz-type systems, for example, the nonlinear term in the systems does not satisfy the globally Lipschitz condition, so that the boundedness of the sampling path generated by the noise-perturbed systems cannot be guaranteed.…”
Section: Discussionmentioning
confidence: 99%
“…The Ikeda model was introduced to describe the dynamics of an optical bistable resonator, plays an important role in electronics and physiological studies and is well-known for delay-induced chaotic behavior [14,15,8,16]. Physically x is the phase lag of the electric field across the resonator; a is the relaxation coefficient for the driving x and driven y dynamical variables; m 1,2 and m 3,4 are the laser intensities injected into the driving and driven systems, respectively.…”
Section: Inverse Chaos Synchronization Between the Ikeda Systems Withmentioning
confidence: 99%
“…Recently in [8] we reported a type of synchronization: inverse anticipating synchronization, where a time-delayed chaotic system x drives another system y in such a way that a driven system anticipates the driver by synchronizing to its inverse future state: x(t) = Ày s Ày(t À s) or equivalently y(t) = Àx(t + s) with s > 0. (We notice that the phenomenon of inverse synchronization is generic.…”
Section: Introductionmentioning
confidence: 99%
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“…Systems of DDEs now occupy a place of central importance in all areas of science, such as neural networks [13] and biological systems [14]. In many earlier works, output intensity (or field amplitude) fluctuations and their synchronization have been the main themes in considering chaos synchronization in lasers [15][16][17][18]. However, it should be noted that the chaotic light injected from ML into the SL will fluctuate chaotically in the optical output intensity of the SL.…”
Section: Introductionmentioning
confidence: 99%