Finite-time impulsive observers for nonlinear systems represented by Takagi–Sugeno models: Application to a chaotic system

Yacine, Zedjiga; Hamiche, Hamid; Djennoune, Saïd; Mammar, Saïd

doi:10.1016/j.matcom.2021.09.008

Cited by 5 publications

(1 citation statement)

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“…The development of communication strategies resorting to the chaos theory began with very simple synchronization schemes of electronic circuits, aiming for simultaneous encryption and reconstruction of an information signal. Later, the problem of synchronizing systems while exhibiting chaos was linked to the standard problem of nonlinear state estimation, which paved the way for intensive research motivated by potential applications [11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

A new synchronization result for fractional-order discrete-time chaotic systems via bandlimited channels

Hamiche,

Megherbi,

Kemih

et al. 2024

Phys. Scr.

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Recently, digital chaotic communication with limited bandwidth has seized the attention of several researchers. This interest stems from the fact that all physical communication channels are limited in bandwidth for data transmission. In furtherance of this, researchers and investigators in this area have put forward various new communication strategies based on synchronizing and controlling coupled chaotic systems evolving in discrete time. In this article, we present a new robust communication scheme based on the synchronization of two fractional-order discrete-time chaotic systems connected by bandlimited channels. The major contribution is to give a sufficient condition in term of the existing and updated parameters of the incorporated fractional-order system on onehand and the inserted filter coefficients, on the other hand. Once applied for data communications, the currently drawn up synchronization scheme pledges to enhance the transmission robustness. Indeed, the new considered parameters act like novel secret keys which widen the cipher key space. Primary and pertinent simulation curves and results performed on Matlab software portray and illustrate the effectiveness of our approach.

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