2021
DOI: 10.1155/2021/6771261
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Circuit Implementation Synchronization between Two Modified Fractional-Order Lorenz Chaotic Systems via a Linear Resistor and Fractional-Order Capacitor in Parallel Coupling

Abstract: In this study, a modified fractional-order Lorenz chaotic system is proposed, and the chaotic attractors are obtained. Meanwhile, we construct one electronic circuit to realize the modified fractional-order Lorenz chaotic system. Most importantly, using a linear resistor and a fractional-order capacitor in parallel coupling, we suggested one chaos synchronization scheme for this modified fractional-order Lorenz chaotic system. The electronic circuit of chaos synchronization for modified fractional-order Lorenz… Show more

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Cited by 3 publications
(3 citation statements)
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“…is assumed to be Hurwitz. (17) Since the trajectories of the master system are bounded, the term ḡ(t, ẽ) can be regarded as a perturbation that will vanish on e if it satisfies ( )…”
Section: Synchronization Scheme Based On Ameliorated Dynamic Controlmentioning
confidence: 99%
See 1 more Smart Citation
“…is assumed to be Hurwitz. (17) Since the trajectories of the master system are bounded, the term ḡ(t, ẽ) can be regarded as a perturbation that will vanish on e if it satisfies ( )…”
Section: Synchronization Scheme Based On Ameliorated Dynamic Controlmentioning
confidence: 99%
“…Moreover, the applications of this concept have been explored in a wide range of fields, such as secure communication (15,16) and electronic circuit design. (17,18) In 1998, static feedback control, which successfully synchronized many systems, was proposed. However, this approach failed as systems became increasingly complicated.…”
Section: Introductionmentioning
confidence: 99%
“…Since Rŏssler discovered the first hyperchaotic system 1 in 1979, the evolution of hyperchaotic systems [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16] from discovery to application has encompassed multiple stages, including theoretical research, numerical simulation, experimental validation, and application exploration. Initially, researchers extended and improved chaotic systems to derive hyperchaotic system [3][4][5][6][11][12][13][14][15][16][17] models with higher dimensions and more complex dynamics. Subsequently, numerical simulation methods such as MATLAB were employed to conduct in-depth analyses of the dynamic characteristics of hyperchaotic systems, including Lyapunov exponents' spectrum and bifurcation diagrams.…”
Section: Introductionmentioning
confidence: 99%