2019
DOI: 10.1109/access.2019.2911486
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Dynamic Analysis and Finite-Time Synchronization of a New Hyperchaotic System With Coexisting Attractors

Abstract: This paper generates an augmented hyperchaotic system from the famous Lorenz system. The hyperchaotic system has complex dynamic properties, including stability, periodicity, multiple coexisting attractors, period-doubling and Hopf bifurcations, and hyperchaos for different parameter conditions and all these dynamic properties are presented by detailed theoretical and numerical analysis. Moreover, the finitetime synchronization of the hyperchaotic system is considered by using the state-error controller. Both … Show more

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Cited by 17 publications
(17 citation statements)
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“…According to their dimensions, existing chaotic systems can be divided into low-dimensional chaotic systems and high-dimensional chaotic systems [9][10][11][12][13][14][15]. The author of [9] presented a four-dimensional quadratic autonomous hyperchaotic system based on the Lorenz system, which has only one hyperchaotic attractor.…”
Section: Introductionmentioning
confidence: 99%
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“…According to their dimensions, existing chaotic systems can be divided into low-dimensional chaotic systems and high-dimensional chaotic systems [9][10][11][12][13][14][15]. The author of [9] presented a four-dimensional quadratic autonomous hyperchaotic system based on the Lorenz system, which has only one hyperchaotic attractor.…”
Section: Introductionmentioning
confidence: 99%
“…The authors of [10] presented a four-wing hyperchaotic memristive system that generates a four-wing hyperchaotic attractor with the unusual feature of having a line equilibrium. The authors of [11] presented a new four-dimensional hyperchaotic system with coexisting attractors, which has several dynamic behaviours and utilizes a hyperchaotic system constructor state-error controller. The authors of [12] presented a new fourdimensional chaotic system with multi-wing and coexisting attractors and simulated its circuit.…”
Section: Introductionmentioning
confidence: 99%
“…Also, interesting contributions have been proposed in [11], [17], [19], [20], [23], [26], [60], [66]- [68]. However, in these works, the usage of disturbances in the stability and convergence analysis was not considered.…”
Section: Introductionmentioning
confidence: 99%
“…The most representative ones are three-dimensional continuous chaotic systems represented by autonomous ordinary differential equations, such as the Lü system [2,3], Rössler system [4], Chen system [5], and some other typical chaotic systems [6][7][8][9][10][11]. Various four-dimensional chaotic systems or hyperchaotic systems can be obtained by adding linear or nonlinear state feedback controllers based on three-dimensional chaotic systems [12][13][14]. In addition, various multi-wing or multi-scroll chaotic systems can be obtained by modifying multi-segment linear or nonlinear functions to increase the number of exponential two equilibrium points [15][16][17][18].…”
Section: Introductionmentioning
confidence: 99%