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Green Energy and Networking. 6th EAI International Conference, GreeNets 2019, Dalian, China, May 4, 2019, Proceedings

Research Article

Dynamical Analysis of the Fractional-Order Memristive Band Pass Filter Chaotic Circuit

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  • @INPROCEEDINGS{10.1007/978-3-030-21730-3_20,
        author={Chenguang Ma and Xiaoqiang Yu and Feifei Yang and Jun Mou},
        title={Dynamical Analysis of the Fractional-Order Memristive Band Pass Filter Chaotic Circuit},
        proceedings={Green Energy and Networking. 6th EAI International Conference, GreeNets 2019, Dalian, China, May 4, 2019, Proceedings},
        proceedings_a={GREENETS},
        year={2019},
        month={6},
        keywords={ADM algorithm Fractional-order system Dynamic characteristic Memristor chaotic circuit},
        doi={10.1007/978-3-030-21730-3_20}
    }
    
  • Chenguang Ma
    Xiaoqiang Yu
    Feifei Yang
    Jun Mou
    Year: 2019
    Dynamical Analysis of the Fractional-Order Memristive Band Pass Filter Chaotic Circuit
    GREENETS
    Springer
    DOI: 10.1007/978-3-030-21730-3_20
Chenguang Ma, Xiaoqiang Yu, Feifei Yang, Jun Mou,*
    *Contact email: moujun@csu.edu.cn

    Abstract

    In this paper, a memristive band pass filter chaotic circuit system was designed based on a band pass filter circuit. The system numerical solutions were calculated by using the Adomian decomposition (ADM) algorithm. On this basis, the dynamical characteristics of the system were analyzed by means of bifurcation diagram, Lyapunov exponent spectrum, phase diagram of chaotic attractor, Poincaré section, SE (spectral entropy) and C complexity algorithm. The results of analysis show that the fractional-order memristive chaotic system has richer dynamical behaviors compared with the integer order system. This paper provides a theoretical basis for the application of fractional-order memristor chaotic circuits in the fields of secure communication and information security.

    Keywords
    ADM algorithm Fractional-order system Dynamic characteristic Memristor chaotic circuit
    Published
    2019-06-17
    Appears in
    SpringerLink
    http://dx.doi.org/10.1007/978-3-030-21730-3_20
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