Abstract
The research on the memristor model and its high-precision hardware circuit experimental platform has gained significant attention. This paper presents a general discrete memristor emulator (GDME) and investigates its typical dynamic properties and operating frequency theoretically. To overcome the limitations of noise and bandwidth of commercial components on pinched hysteresis loops (PHLs), an operating frequency shifting method is proposed. An FPGA-based GDME hardware experiment platform is integrated into an acquisition card, enabling the digital domain processing of signals at the memristor’s two ports and showing the PHLs. The proposed method achieves an experimental maximum operating frequency (EMOF) of 20 GHz, approximately 3.3e3 times better than the existing method. Subsequently, the EMOF and PHLs of existing memristor models are expanded using a tenth-order GDME. Experimental results demonstrate that the proposed method exhibits high accuracy, reconfigurability, and speed. Finally, a 2D memristor logistic map of a coupled third-order GDME is designed, and the performance analysis reveals that the coupled memristor can further improve its stochastic performance.
Similar content being viewed by others
Data availability
The authors declare that data and material will be made available on reasonable request.
References
Si, G., Diao, L., Zhu, J.: Fractional-order charge-controlled memristor: theoretical analysis and simulation. Nonlinear Dyn. 87(4), 2625–2634 (2017)
Strukov, D.B., Snider, G.S., Stewart, D.R., Williams, R.S.: The missing memristor found. Nature 453(7191), 80–83 (2008)
Adhikari, S.P., Sah, M.P., Kim, H., Chua, L.O.: Three fingerprints of memristor. IEEE Trans. Circuits Syst. I Regul. Pap. 60(11), 3008–3021 (2013)
Chua, L.: If it’s pinched it’s a memristor. Semicond. Sci. Technol. 29(10), 104001 (2014)
Chua, L.: Everything you wish to know about memristors but are afraid to ask. Radioengineering 24(2), 319–368 (2015)
Lin, H., Wang, C., Deng, Q., Xu, C., Deng, Z., Zhou, C.: Review on chaotic dynamics of memristive neuron and neural network. Nonlinear Dyn. 106(1), 959–973 (2021)
Liu, S., Li, C., Lu, Z., Li, Y., Lai, Q.: A memristive RBF neural network and its application in unsupervised medical image segmentation: (EPJ ST special issue: Complex bio rhythms)*. Eur. Phys. J. Spec. Top. 231(5), 1005–1014 (2022)
Bao, B., Hu, J., Cai, J., Zhang, X., Bao, H.: Memristor-induced mode transitions and extreme multistability in a map-based neuron model. Nonlinear Dyn. (2022)
Chen, C., Min, F., Zhang, Y., Bao, B.: Memristive electromagnetic induction effects on Hopfield neural network. Nonlinear Dyn. 106(3), 2559–2576 (2021)
Bao, H., Hua, Z., Li, H., Chen, M., Bao, B.: Memristor-based hyperchaotic maps and application in auxiliary classifier generative adversarial nets. IEEE Trans. Ind. Inf. 18(8), 5297–5306 (2022)
Xu, B., She, X., Jiang, L., Zou, S., Qiu, G., Zhao, J.: A 3d discrete memristor hyperchaotic map with application in dual-channel random signal generator. Chaos Solitons Fractals (2023)
Minati, L., Tokgoz, K.K., Ito, H.: Distributed sensing via the ensemble spectra of uncoupled electronic chaotic oscillators. Chaos Solitons Fractals 155, 111749 (2022)
Minati, L., Gambuzza, L., Thio, W., Sprott, J., Frasca, M.: A chaotic circuit based on a physical memristor. Chaos Solitons Fractals 138, 109990 (2020)
Li, H., Hua, Z., Bao, H., Zhu, L., Chen, M., Bao, B.: Two-dimensional memristive hyperchaotic maps and application in secure communication. IEEE Trans. Ind. Electron. 68(10), 9931–9940 (2021)
Sun, J., Ma, Y., Wang, Z., Wang, Y.: Dynamic analysis and cryptographic application of a 5d hyperbolic memristor-coupled neuron. Nonlinear Dyn. 111(9), 8751–8769 (2023)
Ding, D., Xiao, H., Yang, Z., Luo, H., Hu, Y., Zhang, X., Liu, Y.: Coexisting multi-stability of Hopfield neural network based on coupled fractional-order locally active memristor and its application in image encryption. Nonlinear Dyn. 108(4), 4433–4458 (2022)
Ghosh, P.K., Riam, S.Z., Ahmed, M.S., Sundaravadivel, P.: CMOS-based memristor emulator circuits for low-power edge-computing applications. Electronics 12(7), 1654 (2023)
Kumar, S., Strachan, J.P., Williams, R.S.: Chaotic dynamics in nanoscale Nbo2 Mott memristors for analogue computing. Nature 548(7667), 318–321 (2017)
Minati, L., Tokgoz, K.K., Frasca, M., Koike, Y., Iannacci, J., Yoshimura, N., Masu, K., Ito, H.: Distributed sensing via inductively coupled single-transistor chaotic oscillators: a new approach and its experimental proof-of-concept. IEEE Access 8, 36536–36555 (2020)
Gao, L., Ren, Q., Sun, J., Han, S.T., Zhou, Y.: Memristor modeling: challenges in theories, simulations, and device variability. J. Mater. Chem. C 9(47), 16859–16884 (2021)
He, S., Zhan, D., Wang, H., Sun, K., Peng, Y.: Discrete memristor and discrete memristive systems. Entropy 24(6), 786 (2022)
Minati, L., Frasca, M., Yoshimura, N., Ricci, L., Oswiecimka, P., Koike, Y., Masu, K., Ito, H.: Current-starved cross-coupled CMOS inverter rings as versatile generators of chaotic and neural-like dynamics over multiple frequency decades. IEEE Access 7, 54638–54657 (2019)
Kumar, S., Saxena, R., Singh, K.: Fractional Fourier transform and fractional-order calculus-based image edge detection. Circuits Syst. Signal Process. 36(4), 1493–1513 (2017)
Yesil, A.: A new grounded memristor emulator based on MOSFET-C. AEU-Int. J. Electron. C. 91, 143–149 (2018)
Xi, Y., Tang, J., Gao, B., Xu, F., Li, X., Lu, Y., Qian, H., Wu, H.: The impact of thermal enhance layers on the relaxation effect in analog rram. IEEE Trans. Electron Devices 69(8), 4254–4258 (2022)
Minati, L., Innocenti, G., Mijatovic, G., Ito, H., Frasca, M.: Mechanisms of chaos generation in an atypical single-transistor oscillator. Chaos Solitons Fractals 157, 111878 (2022)
Hardtdegen, A., La Torre, C., Cuppers, F., Menzel, S., Waser, R., Hoffmann-Eifert, S.: Improved switching stability and the effect of an internal series resistor in HfO\(_{2}\) /TiO\(_{x}\) bilayer ReRAM cells. IEEE Trans. Electron Devices 65(8), 3229–3236 (2018)
Ananda, Y.R., Raj, N., Trivedi, G.: A MOS-DTMOS implementation of floating memristor emulator for high-frequency applications. IEEE Trans. Very Large Scale Integr. Syst. 31(3), 355–368 (2023)
Ghosh, M., Singh, A., Borah, S.S., Vista, J., Ranjan, A., Kumar, S.: MOSFET-based memristor for high-frequency signal processing. IEEE Trans. Electron Devices 69(5), 2248–2255 (2022)
Kim, H., Sah, M.P., Yang, C., Cho, S., Chua, L.O.: Memristor emulator for memristor circuit applications. IEEE Trans. Circuits Syst I Reg. Pap. 59(10), 2422–2431 (2012)
Minati, L., Bartels, J., Li, C., Frasca, M., Ito, H.: Synchronization phenomena in dual-transistor spiking oscillators realized experimentally towards physical reservoirs. Chaos Solitons Fractals 162, 112415 (2022)
Bao, B.C., Xu, J.P., Zhou, G.H., Ma, Z.H., Zou, L.: Chaotic memristive circuit: equivalent circuit realization and dynamical analysis. Chin. Phys. B 20(12), 120502 (2011)
Cao, H., Wang, F.: Spreading operation frequency ranges of memristor emulators via a new sine-based method. IEEE Trans. Very Large Scale Integr. VLSI Syst. 29(4), 617–630 (2021)
Yu, D., Zheng, C., Iu, H.H.C., Fernando, T., Chua, L.O.: A new circuit for emulating memristors using inductive coupling. IEEE Access 5, 1284–1295 (2017)
Bao, H., Hu, A., Liu, W., Bao, B.: Hidden bursting firings and bifurcation mechanisms in memristive neuron model with threshold electromagnetic induction. IEEE Trans. Neural Netw. Learn. Syst. 31(2), 502–511 (2020)
Bao, B., Rong, K., Li, H., Li, K., Hua, Z., Zhang, X.: Memristor-coupled logistic hyperchaotic map. IEEE Trans. Circuits Syst. II Express Briefs 68(8), 2992–2996 (2021)
Bao, H., Hua, Z., Li, H., Chen, M., Bao, B.: Discrete memristor hyperchaotic maps. IEEE Trans. Circuits Syst. I Regul. Pap. 68(11), 4534–4544 (2021)
Leng, X., Du, B., Gu, S., He, S.: Novel dynamical behaviors in fractional-order conservative hyperchaotic system and DSP implementation. Nonlinear Dyn. (2022)
Xu, C., Liao, M., Wang, C., Sun, J., Lin, H.: Memristive competitive Hopfield neural network for image segmentation application. Cogn. Neurodyn. (2022)
Xu, Q., Chen, K., Shen, X., Loh, T.H., Huang, Y.: Measuring the total radiated energy of transient signals in a reverberation chamber. In: 2021 IEEE 4th International Conference on Electronic Information and Communication Technology (ICEICT), pp. 497–500. IEEE, Xi’an (2021)
Yuan, F., Xing, G., Deng, Y.: Flexible cascade and parallel operations of discrete memristor. Chaos Solitons Fractals 166, 112888 (2023)
Tolba, M.F., Fouda, M.E., Hezayyin, H.G., Madian, A.H., Radwan, A.G.: Memristor FPGA IP core implementation for analog and digital applications. IEEE Trans. Circuits Syst. II Express Briefs 66(8), 1381–1385 (2019)
Sánchez-López, C., Aguila-Cuapio, L.: A 860 khz grounded memristor emulator circuit. AEU-Int. J. Electron. C. 73, 23–33 (2017)
Mayacela, M., Rentería, L., Contreras, L., Medina, S.: Comparative analysis of reconfigurable platforms for memristor emulation. Materials 15(13), 4487 (2022)
Cotter, N.: The Stone-Weierstrass theorem and its application to neural networks. IEEE Trans. Neural Netw. 1(4), 290–295 (1990)
Mouze, A., Nestoridis, V., Papadoperakis, I., Tsirivas, N.: Determination of a universal series. Comput. Methods Funct. Theory 12(1), 173–199 (2012)
Rong, K., Bao, H., Li, H., Hua, Z., Bao, B.: Memristive hénon map with hidden Neimark–Sacker bifurcations. Nonlinear Dyn. 108(4), 4459–4470 (2022)
Sun, J., Han, J., Liu, P., Wang, Y.: Memristor-based neural network circuit of Pavlov associative memory with dual mode switching. AEU-Int. J. Electron. C. 129, 153552 (2021)
Dong, Y., Wang, G., Chen, G., Shen, Y., Ying, J.: A bistable nonvolatile locally-active memristor and its complex dynamics. Commun. Nonlinear Sci. Numer. Simul. 84, 105203 (2020)
Li, P., Wang, X., Zhang, X., Eshraghian, J.K., Lu, H.H.C.: Spice modelling of a tri-state memristor and analysis of its series and parallel characteristics. IET Circuits Devices Syst. cds2.12086 (2021)
Li, C., Yang, Y., Yang, X., Zi, X., Xiao, F.: A tristable locally active memristor and its application in Hopfield neural network. Nonlinear Dyn. 108(2), 1697–1717 (2022)
Ayten, U.E., Minaei, S., Sağbaş, M.: Memristor emulator circuits using single CBTA. AEU-Int. J. Electron. C. 82, 109–118 (2017)
Yesil, A., Babacan, Y., Kacar, F.: A new floating memristor based on CBTA with grounded capacitors. J. Circuits Syst. Comput. 28(13), 1950217 (2019)
Babacan, Y., Yesil, A., Gul, F.: The fabrication and MOSFET-only circuit implementation of semiconductor memristor. IEEE Trans. Electron Devices 65(4), 1625–1632 (2018)
Ranjan, R.K., Sagar, S., Roushan, S., Kumari, B., Rani, N., Khateb, F.: High-frequency floating memristor emulator and its experimental results. IET Circuits Devices Syst. 13(3), 292–302 (2019)
Wu, H., Zhou, J., Chen, M., Xu, Q., Bao, B.: Dc-offset induced asymmetry in memristive diode-bridge-based Shinriki oscillator. Chaos Solitons Fractals 154, 111624 (2022)
Wu, H.G., Bao, B.C., Chen, M.: Threshold flux-controlled memristor model and its equivalent circuit implementation. Chin. Phys. B 23(11), 118401 (2014)
Li, Y., Li, C., Zhao, Y., Liu, S.: Memristor-type chaotic mapping. Chaos Interdiscip. J. Nonlinear Sci. 32(2), 021104 (2022)
Guo, Z., Wen, J., Mou, J.: Dynamic analysis and DSP implementation of memristor chaotic systems with multiple forms of hidden attractors. Mathematics 11(1), 24 (2022)
Han, X., Mou, J., Lu, J., Banerjee, S., Cao, Y.: Two discrete memristive chaotic maps and its DSP implementation. Fractals 31(06), 2340104 (2023)
Raj, N., Ranjan, R.K., Khateb, F.: Flux-controlled memristor emulator and its experimental results. IEEE Trans. Very Large Scale Integr. VLSI Syst. 28(4), 1050–1061 (2020)
Geng, H., Wang, Z., Mousavi, A., Alsaadi, F.E., Cheng, Y.: Outlier-resistant filtering with dead-zone-like censoring under try-once-discard protocol. IEEE Trans. Signal Process. 70, 714–728 (2022)
Geng, H., Wang, Z., Alsaadi, F.E., Alharbi, K.H., Cheng, Y.: Protocol-based fusion estimator design for state-saturated systems with dead-zone-like censoring under deception attacks. IEEE Trans. Signal Inf. Process. Over Netw. 8, 37–48 (2022)
Geng, H., Wang, Z., Chen, Y., Yi, X., Cheng, Y.: Variance-constrained filtering fusion for nonlinear cyber-physical systems with the denial-of-service attacks and stochastic communication protocol. IEEE/CAA J. Autom. Sin. 9(6), 978–989 (2022)
Acknowledgements
This work was supported in part by the National Natural Science Foundation of China (Grant No. U2030205, U2230206).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Xu, B., Zou, S., Bai, L. et al. A general discrete memristor emulator based on Taylor expansion for the reconfigurable FPGA implementation and its application. Nonlinear Dyn 112, 1395–1414 (2024). https://doi.org/10.1007/s11071-023-09092-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11071-023-09092-4