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Fractal Control and Synchronization of the Discrete Fractional SIRS Model

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  • Miao Ouyang
  • Yongping Zhang
  • Jian Liu

Abstract

SIRS model is one of the most basic models in the dynamic warehouse model of infectious diseases, which describes the temporary immunity after cure. The discrete SIRS models with the Caputo deltas sense and the theories of fractional calculus and fractal theory provide a reasonable and sensible perspective of studying infectious disease phenomenon. After discussing the fixed point of the fractional order system, controllers of Julia sets are designed by utilizing fixed point, which are introduced as a whole and a part in the models. Then, two totally different coupled controllers are introduced to achieve the synchronization of Julia sets of the discrete fractional order systems with different parameters but with the same structure. And new proofs about the synchronization of Julia sets are given. The complexity and irregularity of Julia sets can be seen from the figures, and the correctness of the theoretical analysis is exhibited by the simulation results.

Suggested Citation

  • Miao Ouyang & Yongping Zhang & Jian Liu, 2020. "Fractal Control and Synchronization of the Discrete Fractional SIRS Model," Complexity, Hindawi, vol. 2020, pages 1-16, January.
    • Handle: RePEc:hin:complx:3085036
    DOI: 10.1155/2020/3085036
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    Cited by:

    1. Shu, Jingsi & Zhang, Yongping, 2023. "Fractal control and synchronization of population competition model based on the T–S fuzzy model," Chaos, Solitons & Fractals, Elsevier, vol. 172(C).

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