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(a) Bifurcation diagram and (b) largest Lyapunov exponent of Case IE 10 with respect to changing parameter b. Initial conditions are set with backward continuation, and the first initial conditions are (17.82, −61.74, −82.95).

(a) Bifurcation diagram and (b) largest Lyapunov exponent of Case IE 10 with respect to changing parameter b. Initial conditions are set with backward continuation, and the first initial conditions are (17.82, −61.74, −82.95).

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In this paper, some new three-dimensional chaotic systems are proposed. The special property of these autonomous systems is their identical eigenvalues. The systems are designed based on the general form of quadratic jerk systems with 10 terms, and some systems with stable equilibria. Using a systematic computer search, 12 simple chaotic systems wi...

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... are shown in Fig. 1. It can be seen that the topologies of attractors are very different. In the interest of brevity, we focus on System IE 10 . Case 10 is one of the interesting systems with three equal nonzero eigenvalues and its bifurcation diagram is interesting. A bifurcation diagram and plot of the largest Lyapunov exponent for IE 10 in Fig. 2 Table 1. Lyapunov exponents of the system are calculated using Wolf's method [Wolf et al., 1985] with the runtime 20 000. The figure shows that the dynamic of the system is very sensitive to variations of parameter b in its smaller values. Kaplan-Yorke dimension (D KY ) is a complex degree and conjectures the dimension of strange ...

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Citation: Liu, M.; Sang, B.; Wang, N.; Ahmad, I. Title. Axioms 2021, 1, 0. open access publication under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecom-mons.org/licenses/by/ 4.0/). Abstract: This paper is about the dynamical evolution of a family of chaotic jerk systems, which 1 have different attractors for varying values of parameter a. By using Hopf bifurcation analysis, 2 bifurcation diagrams, Lyapunov exponents, and cross sections, both self-excited and hidden 3 attractors are explored. The self-exited chaotic attractors are found via a supercritical Hopf 4 bifurcation and period-doubling cascades to chaos. The hidden chaotic attractors (related to a 5 subcritical Hopf bifurcation, and with a unique stable equilibrium) are also found via period-6 doubling cascades to chaos. A circuit implement is presented for the hidden chaotic attractor. The 7 methods used in this paper will help understand and predict the chaotic dynamics of quadratic 8 jerk systems. 9
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