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Analysis and Circuit Implementation of a Novel Memristor Based Hyper-chaotic System

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Advances in Neural Networks – ISNN 2018 (ISNN 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10878))

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Abstract

The memristor shares the best features of both memory function intrinsically and nonlinear characteristics, which is seen as a potential candidate to reduce system power consumption and circuit size. In this paper, a novel four-dimensional hyper-chaos system containing a memristor has been put forward, and the hyper-chaos characteristic of the system was verified through the Lyapunov index calculation. Moreover, Standard nonlinear diagnostic tools such as dissipation and system stability, power spectrum, time domain spectrum and Poincare map are employed to investigate its complex dynamic characteristics. Subsequently the system is simulated by the SPICE circuit. A fully good agreement is observed between Spice simulation results and the theoretical analysis, which verify the feasibility of the memristive hyper-chaotic system.

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Authors and Affiliations

  1. School of Electronics and Information Engineering, Southwest University, Chongqing, 400715, China

    Dengwei Yan, Lidan Wang & Shukai Duan

Authors
  1. Dengwei Yan
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  2. Lidan Wang
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  3. Shukai Duan
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Corresponding author

Correspondence to Lidan Wang .

Editor information

Editors and Affiliations

  1. Texas A&M University at Qatar, Doha, Qatar

    Tingwen Huang

  2. Sichuan University, Chengdu, China

    Jiancheng Lv

  3. Southeast University, Nanjing, China

    Changyin Sun

  4. United Institute of Informatics Problems, Minsk, Belarus

    Alexander V. Tuzikov

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Yan, D., Wang, L., Duan, S. (2018). Analysis and Circuit Implementation of a Novel Memristor Based Hyper-chaotic System. In: Huang, T., Lv, J., Sun, C., Tuzikov, A. (eds) Advances in Neural Networks – ISNN 2018. ISNN 2018. Lecture Notes in Computer Science(), vol 10878. Springer, Cham. https://doi.org/10.1007/978-3-319-92537-0_42

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  • DOI: https://doi.org/10.1007/978-3-319-92537-0_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-92536-3

  • Online ISBN: 978-3-319-92537-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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