Abstract
Discrete memristor can be introduced for chaos producing conveniently even combined with easy amplitude control. Such a case is designed in this work, in which all the rest parameters are independent amplitude controllers except the only one for bifurcation. The memristor-related parameters only rescale the sequence partially or totally without revising the Lyapunov exponents. More controllers bring greater convenience for chaos application, meanwhile, less bifurcation parameters pose less risks for chaos-based engineering. The STM32-based circuit is constructed to verify the characteristics of amplitude control. Furthermore, a secure optical communication system is built based on the memristive map showing its high performance in engineering applications.
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The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
Wieczorek, P.Z., Gołofit, K.: True random number generator based on flip-flop resolve time instability boosted by random chaotic source. IEEE Trans. Circuits Syst. I Reg. Pap. 65(4), 1279–1292 (2018)
Lin, H., Wang, C., Du, S.: A family of memristive multibutterfly chaotic systems with multidirectional initial-based offset boosting. Chaos Soliton Fract 172, 113518 (2023)
Lin, H., Wang, C., Sun, Y.: A universal variable extension method for designing multiscroll/wing chaotic systems. IEEE Trans. Ind. Electron. (2023)
Chua, L.O.: If it’s pinched it’s a memristor. Semicond. Sci. Technol. 29(10), 104001 (2014)
Yao, P.: Fully hardware-implemented memristor convolutional neural network. Nature 577(7550), 641–646 (2020)
Chua, L.O.: Everything you wish to know about memristors but are afraid to ask. Radioengineering 24(2), 319–368 (2015)
Wu, F., Wang, R.: Synchronization in memristive HR neurons with hidden coexisting firing and lower energy under electrical and magnetic coupling. Commun. Nonlinear Sci. Numer. Simul. 126, 107459 (2023)
Corinto, F., Forti, M.: Memristor circuits: Bifurcations without parameters. IEEE Trans. Circuits Syst. I. Reg. Pap. 64(6), 1540–1551 (2017)
Wu, F., Guo, Y., Ma, J.: Reproduce the biophysical function of chemical synapse by using a memristive synapse. Nonlinear Dyn. 109(3), 2063–2084 (2022)
Zhang, S., Li, C., Zheng, J., Wang, X., Zeng, Z., Peng, X.: Generating any number of initial offset-boosted coexisting Chua’s double-scroll attractors via piecewise-nonlinear memristor. IEEE Trans. Ind. Electron. 69(7), 7202–7212 (2022)
Jin, P., Wang, G., Liang, Y., Herbert, L., Chua, L.: Neuromorphic dynamics of Chua corsage memristor. IEEE Trans. Circuits Syst. I Reg. Papers 68(11), 4419–4432 (2021)
Lin, H., Wang, C., Cui, L., Sun, Y., Xu, C., Yu, F.: Brain-like initial-boosted hyperchaos and application in biomedical image encryption. IEEE Trans. Ind. Inform (2019).
Peng, Y., Sun, K., He, S.: A discrete memristor model and its application in henon map. Chaos Soliton Fract 137, 109873 (2020)
Bao, H., Li, H., Hua, Z., Xu, Q., Bao, B.: Sine-transform-based memristive hyperchaotic model with hardware implementation. IEEE Trans. Ind. Inform. 18(3), 1726–1736 (2021)
Li, K., Bao, H., Li, H.: Memristive Rulkov neuron model with magnetic induction effects. IEEE Trans. Ind. Inform. 18(3), 1726–1736 (2021)
Wang, N., Li, C., Bao, H.: Generating multi-scroll Chua’s attractors via simplified piecewise-linear Chua’s diode. IEEE Trans. Circuits Syst. I Regul. Pap. 66(12), 4767–4779 (2019)
Zhou, X., Li, C., Lu, X., Lei, T.: A 2D hyperchaotic map: Amplitude control, coexisting symmetrical attractors and circuit implementation. Symmetry 13(6), 1047 (2021)
Li, C., Sprott, J.C., Yuan, Z., Li, H.: Constructing chaotic systems with total amplitude control. Int. J. Bifurc. Chaos 25(10), 1530025 (2015)
Zhou, X., Li, C., Li, Y., Lu, X., Lei, T.: An amplitude-controllable 3-d hyperchaotic map with homogenous multistability. Nonlinear Dyn. 105, 1843–1857 (2021)
Li, Y., Li, C., Liu, S., Hua, Z., Jiang, H.: A 2-D conditional symmetric hyperchaotic map with complete control. Nonlinear Dyn. 109, 1155–1165 (2022)
Lorenz, E.N.: Deterministic nonperiodic flow. J. Atmos. Sci. 20(2), 130–141 (1963)
Chen, G., Ueta, T.: Yet another chaotic attractor. Int. J. Bifurc. Chaos 9(07), 1465–1466 (1999)
Lü, J., Chen, G.: A new chaotic attractor coined. Int. J. Bifurc. Chaos 12(03), 659–661 (2002)
Li, Y., Li, C., Zhang, S., Chen, G., Zeng, Z.: A self-reproduction hyperchaotic map with compound lattice dynamics. IEEE Trans. Ind. Electron. 69(10), 10564–10572 (2022)
Panahi, S., Sprott, J.C., Jafari, S.: Two simplest quadratic chaotic maps without equilibrium. Int. J. Bifurc. Chaos 28(12), 1850144 (2018)
Wolf, A., Swift, J.B., Swinney, H.L., Vastano, J.A.: Determining Lyapunov exponents from a time series. Physica D 16(3), 285–317 (1985)
Zhang, S, Li, C., Zheng, J.: Memristive autapse-coupled neuron model with external electromagnetic radiation effects. IEEE Trans. Ind. Electron (2022).
Lin, J.: Divergence measures based on the Shannon entropy. IEEE Trans. Inf. Theory 37(1), 145–151 (1991)
Li, C., Sprott, J.C., Xing, H.: Crisis in amplitude control hides in multistability. Int. J. Bifurc. Chaos 26(14), 1650233 (2016)
Li, Y., Li, C., Liu, S.: An initially-controlled double-scroll hyperchaotic map. Int. J. Bifurc. Chaos 32(08), 2250119 (2022)
Garcia-Bosque, M., Prez-Resa, A., Snchez-Azqueta, C., Aldea, C., Celma, S.: Chaos-based bitwise dynamical pseudorandom number generator on FPGA. IEEE Trans. Instrum. Meas. 68(1), 291–293 (2019)
Kumar, A., Chandra, R.K.: A coupled variable input LCG method and its VLSI architecture for pseudorandom bit generation. IEEE Trans. Instrum. Meas. 69(4), 1011–1019 (2020)
Li, Y., Li, C., Zhao, Y., et al.: Memristor-type chaotic mapping. Chaos Interdiscip. J. Nonlinear Sci. 32(2), 021104 (2022)
Al-Zubaidi, F.M.A., Lopez, J.D., Montero, D.S., Vazquez, C.: Optically powered radio-over-fiber systems in support of 5G cellular networks and IoT. J. Lightwave Technol. 39(13), 4262–4269 (2021)
Wang, Z., Xiao, Y., Wang, S., Yan, S., Wang, B., Chen, Y., Zhou, Z.: Probabilistic shaping based constellation encryption for physical layer security. Opt. Express 29(12), 17890–17901 (2021)
Vikas, K., Mithun, M., Jaime, L.: Reconfigurable architecture of UFMC transmitter for 5G and its FPGA prototype. IEEE Syst. J. 14(1), 28–38 (2020)
Zhong, Q., Ren, J., Liu, B.: High-security UFMC optical transmission system of 7-core fiber based on updating 3D discrete chaotic model. Opt. Express 47(9), 2254–2257 (2022)
Meng, X., Rozycki, P., Qiao, J., Wilamowski, B.M.: Nonlinear system modeling using RBF networks for industrial application. IEEE Trans. Ind. Inform. 14(3), 931–940 (2018)
Hua, Z., Zhou, Y., Bao, B.: Two-dimensional sine chaotification system with hardware implementation. IEEE Trans. Ind. Inform. 16(2), 887–897 (2019)
Acknowledgements
This work was supported financially by the National Natural Science Foundation of China (Grant No.: 61871230, 62371242), and a project funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions.
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Li, Y., Li, C., Zhong, Q. et al. A memristive chaotic map with only one bifurcation parameter. Nonlinear Dyn 112, 3869–3886 (2024). https://doi.org/10.1007/s11071-023-09204-0
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DOI: https://doi.org/10.1007/s11071-023-09204-0