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A Memristor-Based Chaotic System with Boundary Conditions

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Memristor Networks

Abstract

This chapter proposes and studies a memristor-based chaotic system, which is constructed by incorporating a memristor into the canonical Chen oscillator with boundary conditions. Specifically, charge-controlled and flux-controlled memristor models with appropriate boundary conditions are introduced and the relation between the charge through and the flux across the memristor is derived. The rich and interesting dynamical behaviors of the memristive system are demonstrated. In particular, chaos in the system is verified by conventional means of, for instance, the Lyapunov exponent spectrum, observation of chaotic attractors, as well as basic bifurcation analysis. Finally, a basic analog circuit implementation of the memristive chaotic system based on PSPICE is presented.

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References

  1. Chua, L.O.: Memristor—the missing circuit element. IEEE Trans. Circuit Theory 18, 507–519 (1971)

    Article  Google Scholar 

  2. Strukov, D.B., Snider, G.S., Stewart, D.R., Williams, R.S., et al.: The missing memristor found. Nature 453, 80–83 (2008)

    Article  Google Scholar 

  3. Kavehei, O., Iqbal, A., Kim, Y.S., Eshraghian, K., Al-Sarawi, S.F., Abbott, D.: The fourth element: characteristics, modelling, and electromagnetic theory of the memristor. Proc. R. Soc. A 466, 2175–2202 (2010)

    Article  MATH  MathSciNet  Google Scholar 

  4. Biolek, Z., Biolek, D., Biolková, V.: SPICE model of memristor with nonlinear dopant drift. Radioengineering 18, 210–214 (2009)

    Google Scholar 

  5. Pershin, Y.V., Ventra, M.D.: Spin memristive systems: spin memory effects in semiconductor spintronics. Phys. Rev. B 78, 3309–3312 (2008)

    Google Scholar 

  6. Jo, S.H., Kim, K.-H., Lu, W.: High-density crossbar arrays based on a Si memristive system. Nano Lett. 9, 870–874 (2009)

    Article  Google Scholar 

  7. Duan, S.K., Hu, X.F., Wang, L.D., Li, C.D., Mazumder, P.: Memristor-based RRAM with applications. Sci. China, Inf. Sci. 55, 1446–1460 (2012)

    Article  Google Scholar 

  8. Duan, S.K., Hu, X.F., Wang, L.D., Li, C.D.: Analog memristive memory with applications in audio signal storage. Sci. China, Inf. Sci. (2012). doi:10.1007/s11432-013-4864-z

    Google Scholar 

  9. Hu, X.F., Duan, S.K., Wang, L.D., Liao, X.F.: Memristive crossbar array with applications in image processing. Sci. China, Inf. Sci. 55, 461–472 (2012)

    Article  Google Scholar 

  10. Kim, H., Sah, M., Yang, C., Roska, T., Chua, L.O.: Neural synaptic weighting with a pulse-based memristor circuit. IEEE Trans. Circuits Syst. I 59, 148–158 (2012)

    Article  MathSciNet  Google Scholar 

  11. Itoh, M., Chua, L.O.: Memristor oscillators. Int. J. Bifurc. Chaos 18, 3183–3206 (2008)

    Article  MATH  MathSciNet  Google Scholar 

  12. Muthuswamy, B., Chua, L.O.: Simplest chaotic circuit. Int. J. Bifurc. Chaos 20, 1567–1580 (2010)

    Article  Google Scholar 

  13. Wang, L.D., Drakakis, E., Duan, S.K., He, P.F.: Memristor model and its application for chaos generation. Int. J. Bifurc. Chaos 22, 1250205 (2012). 14 pp.

    Article  Google Scholar 

  14. Ueta, T., Chen, G.: Bifurcation analysis of Chen’s equation. Int. J. Bifurc. Chaos 10, 1917–1931 (2000)

    MATH  MathSciNet  Google Scholar 

  15. Zhong, Q.S., Yu, Y.B., Yu, J.B.: Fuzzy modeling and impulsive control of a memristor-based chaotic system. Chin. Phys. Lett. 27, 020501 (2010)

    Article  Google Scholar 

  16. Corinto, F., Ascoli, A., Gilli, M.: Memristor models for chaotic neural circuits. In: WCCI 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia, 10–15 June 2012

    Google Scholar 

  17. Sprott, J.C., Wang, X., Chen, G.: Coexistence of point, periodic and strange attractors. Int. J. Bifurc. Chaos 23, 1350093 (2013). 5 pp.

    Article  MathSciNet  Google Scholar 

  18. Adamatzky, A., Chen, G. (eds.): Chaos, CNN, Memristors and Beyond. World Scientific, Singapore (2013)

    MATH  Google Scholar 

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Correspondence to Xiaofang Hu .

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Hu, X., Chen, G., Duan, S., Feng, G. (2014). A Memristor-Based Chaotic System with Boundary Conditions. In: Adamatzky, A., Chua, L. (eds) Memristor Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-02630-5_16

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  • DOI: https://doi.org/10.1007/978-3-319-02630-5_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-02629-9

  • Online ISBN: 978-3-319-02630-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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