Abstract
Fractional calculus generalizes integer-order derivatives and integrals. Memristor represents the missing relation between the charge and flux among the conventional elements. This paper introduces the fractional calculus into charge-controlled memristor to establish a unified cubic fractional-order charge-controlled memristor model, which is more general and comprehensive, and the model is analyzed when the fractional-order \(\alpha \) change in the range of 0–1. Some interesting phenomena are found that the I–V characteristic is not the conventional double-loop I–V curves, but which can be called triple-loop I–V curves. The area inside the hysteresis loops decreases not only by the fractional-order \(\alpha \) decreasing, but also by the input frequency \(\omega \) increasing.
Similar content being viewed by others
References
Chua, L.: Memristor-the missing circuit element. IEEE Trans. Circuit Theory 18(5), 507–519 (1971)
Strukov, D., Snider, G., Stewart, D., Williams, R.: The missing memristor found. Nature 453(7191), 80–83 (2008)
Jo, S.H., Chang, T., Ebong, I., Bhadviya, B.B., Mazumder, P., Lu, W.: Nanoscale memristor device as synapse in neuromorphic systems. Nano Lett. 10(4), 1297–1301 (2010)
Snider, G.S.: Self-organized computation with unreliable, memristive nanodevices. Nanotechnology 18(36), 365202–365202 (2007)
Pino, R.E., Li, H., Chen, Y., Hu, M., Liu, B.: Statistical memristor modeling and case study in neuromorphic computing. In: Proceedings of the IEEE/ACM Design Automation Conference, pp. 585–590 (2012)
Waser, R., Dittmann, R., Staikov, G., Szot, K.: Redox-based resistive switching memories-nanoionic mechanisms, prospects, and challenges. Adv. Mater. 21(25–26), 2632–2663 (2009)
Rajendran, J., Manem, H., Karri, R., Rose, G.S.: An energy-efficient memristive threshold logic circuit. IEEE Trans. Comput. 61(4), 474–487 (2012)
Manem, H., Rajendran, J., Rose, G.S.: Design considerations for multilevel CMOS/Nano memristive memory. ACM J. Emerg. Technol. Comput. Syst. 8(1), 182–189 (2012)
Chua, L.: Resistance switching memories are memristors. Appl. Phys. A 102(4), 21–51 (2011)
Batas, D., Fiedler, H.: A memristor SPICE implementation and a new approach for magnetic flux-controlled memristor modeling. IEEE Trans. Nanotechnol. 10(2), 250–255 (2011)
Liu, W., Wang, F., Ma, X.: A unified cubic flux-controlled memristor: theoretical analysis, simulation and circuit experiment. Int. J. Numer. Model. Electron. Netw. Devices Fields 28(3), 335–345 (2015)
Fouda, M.E., Radwan, A.G.: Charge controlled memristor-less memcapacitor emulator. Electron. Lett. 48(23), 1454–1455 (2012)
Machado, J.A.T.: Fractional generalization of memristor and higher order elements. Commun. Nonlinear Sci. Numer. Simul. 18(2), 264–275 (2013)
Shin, S., Kim, K., Kang, S.M.: Compact models for memristors based on charge-flux constitutive relationships. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 29(4), 590–598 (2010)
Oldham, K.B., Spanier, J.: The Fractional Calculus: Theory and Application of Differentiation and Integration to Arbitrary Order. Academic Press, New York (1974)
Miller, K.S., Ross, B.: An Introduction to the Fractional Calculus and Fractional Differential Equations. Wiley, New York (1993)
Kvitsinskiĭ, A.A.: Fractional integrals and derivatives: theory and applications. Teoret. Mat. Fiz. 3(2), 397–414 (1993)
Machado, J.A.T., Galhano, A.M.S.F.: Fractional order inductive phenomena based on the skin effect. Nonlinear Dyn. 68(1–2), 107–115 (2012)
Westerlund, S., Ekstam, L.: Capacitor theory. IEEE Trans. Dielectr. Electr. Insul. 1(5), 826–839 (1994)
Westerlund, S.: Dead matter has memory!. Phys. Scr. 43(2), 174–179 (1991)
Radwan, A.G., Fouda, M.E.: Optimization of fractional-order RLC filters. Circuits Syst. Signal Process. 32(5), 2097–2118 (2013)
Chen, D., Liu, C., Wu, C.: A New Fractional-order chaotic system and its synchronization with circuit simulation. Circuits Syst. Signal Process. 31(5), 1599–1613 (2012)
Radwan, A.G., Salama, K.N.: Fractional-order RC and RL circuits. Circuits Syst. Signal Process. 31(6), 1901–1915 (2012)
Soltan, A., Radwan, A.G., Soliman, A.M.: Fractional order Sallen–Key and KHN filters: stability and poles allocation. Circuits Syst. Signal Process. 34(5), 1461–1480 (2014)
Machado, J.T.: Fractional order junction. Commun. Nonlinear Sci. Numer. Simul. 20(1), 1–8 (2015)
Petras, I., Chen, Y.Q., Coopmans, C.: Fractional-order memristive systems. In: IEEE Conference on the ETFA 2009, pp. 1–8. IEEE (2009)
Zhou, K., Chen, D., Zhang, X., Zhou, R., Iu, H.C.: Fractional-order three-dimensional circuit network. IEEE Trans. Circuits Syst. I Regul. Pap. 62(10), 2401–2410 (2015)
Chen, D., Wu, C., Iu, H.H.C., Ma, X.: Circuit simulation for synchronization of a fractional-order and integer-order chaotic system. Nonlinear Dyn. 73(3), 1671–1686 (2013)
Chen, D., Sun, Z., Ma, X., Chen, L.: Circuit implementation and model of a new multi-scroll chaotic system. Int. J. Circuit Theory Appl. 42(4), 407–424 (2014)
Iu, H.H.C., Qi, C., Zhou, R., Chen, D.: Fractional-order L beta C alpha infinite rectangle circuit network. IET Circuits Devices Syst. (2016). doi:10.1049/iet-cds.2015.0247
Fouda, M., Radwan, A.: Fractional-order memristor response under DC and periodic signals. Circuits Syst. Signal Process. 34(3), 961–970 (2015)
Petras, I.: Fractional-order memristor-based chua’s circuit. IEEE Trans. Circuits Syst. II Exp. Briefs 57(12), 975–979 (2010)
Fouda, M.E., Radwan, A.G.: On the fractional-order memristor model. J. Fract. Calc. Appl. 4(1), 1–7 (2015)
Cafagna, D., Grassi, G.: On the simplest fractional-order memristor-based chaotic system. Nonlinear Dyn. 70(2), 1185–1197 (2012)
Bao, H.B., Cao, J.D.: Projective synchronization of fractional-order memristor-based neural networks. Neural Netw. 63, 1–9 (2014)
Rakkiyappan, R., Velmurugan, G., Xiaodi, L., O’Regan, D.: Global dissipativity of memristor-based complex-valued neural networks with time-varying delays. Neural Process. Lett. 42(3), 1–24 (2014)
Rakkiyappan, R., Velmurugan, G., Cao, J.: Finite-time stability analysis of fractional-order complex-valued memristor-based neural networks with time delays. Chaos Soliton Fract. 78(11), 1344–1349 (2015)
Rakkiyappan, R., Velmurugan, G., Cao, J.: Stability analysis of memristor-based fractional-order neural networks with different memductance functions. Cogn. Neurodyn. 9(2), 145–177 (2014)
Teng, L., Iu, H.H.C., Wang, X., Wang, X.: Chaotic behavior in fractional-order memristor-based simplest chaotic circuit using fourth degree polynomial. Nonlinear Dyn. 77(1–2), 231–241 (2014)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Si, G., Diao, L. & Zhu, J. Fractional-order charge-controlled memristor: theoretical analysis and simulation. Nonlinear Dyn 87, 2625–2634 (2017). https://doi.org/10.1007/s11071-016-3215-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11071-016-3215-1