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Complex Dynamical Behaviors of a Fractional‐Order System Based on a Locally Active Memristor
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A fractional‐order locally active memristor is proposed in this paper. When driven by a bipolar periodic signal, the generated hysteresis loop with two intersections is pinched at the origin. The area of the hysteresis loop changes with the fractional order. Based on the fractional‐order locally active memristor, a fractional‐order memristive system is constructed. The stability analysis is carried out and the stability conditions for three equilibria are listed. The expression of the fractional order related to Hopf bifurcation is given. The complex dynamical behaviors of Hopf bifurcation, period‐doubling bifurcation, bistability and chaos are shown numerically. Furthermore, the bistability behaviors of the different fractional order are validated by the attraction basins in the initial value plane. As an alternative to validating our results, the fractional‐order memristive system is implemented by utilizing Simulink of MATLAB. The research results clarify that the complex dynamical behaviors are attributed to two facts: one is the fractional order that affects the stability of the equilibria, and the other is the local activeness of the fractional‐order memristor.
Title: Complex Dynamical Behaviors of a Fractional‐Order System Based on a Locally Active Memristor
Description:
A fractional‐order locally active memristor is proposed in this paper.
When driven by a bipolar periodic signal, the generated hysteresis loop with two intersections is pinched at the origin.
The area of the hysteresis loop changes with the fractional order.
Based on the fractional‐order locally active memristor, a fractional‐order memristive system is constructed.
The stability analysis is carried out and the stability conditions for three equilibria are listed.
The expression of the fractional order related to Hopf bifurcation is given.
The complex dynamical behaviors of Hopf bifurcation, period‐doubling bifurcation, bistability and chaos are shown numerically.
Furthermore, the bistability behaviors of the different fractional order are validated by the attraction basins in the initial value plane.
As an alternative to validating our results, the fractional‐order memristive system is implemented by utilizing Simulink of MATLAB.
The research results clarify that the complex dynamical behaviors are attributed to two facts: one is the fractional order that affects the stability of the equilibria, and the other is the local activeness of the fractional‐order memristor.
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