Abstract
In this paper, a S-type locally active memristor is constructed based on Chua’s unfolding theorem. The analysis of the power-off plot (POP) shows that the introduced memristor has two stable equilibrium states and exhibits bistable characteristics. The S-type DC \(V-I\) plot reveals that the memristor has a locally active region of a negative slope. The equivalent circuit of the memristor working near the operating point of the locally-active region is established, based on small-signal analysis method. Then, an oscillating circuit is constructed based on the memristor. It is found by analysis that this memristive system does have complex dynamical behavior. Finally, an analog circuit is built to verify the theoretical analysis.
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References
L.O. Chua, Memristor—the missing circuit element. IEEE Trans. Circ. Theory 18, 507 (1971)
D.B. Strukov, G.S. Snider, D.R. Stewart, R.S. Williams, The missing memristor found. Nature 453, 80 (2008)
F. Yuan, G.Y. Wang, X. Wang, Extreme multistability in a memristor-based multi-scroll hyper-chaotic system. Chaos 26, 507 (2016)
Y.X. Peng, S.B. He, K.H. Sun, Chaos in the discrete memristor-based system with fractional-order difference. Results Phys. 24, 104106 (2021)
Z.J. Li, Y.C. Zeng, A memristor oscillator based on a twin-t network. Chin. Phys. B. 22, 040502K (2013)
C.L. Li, H.D. Li, W.W. Xie, J.R. Du, A S-type bistable locally active memristor model and its analog implementation in an oscillator circuit. Nonlinear Dyn. 106, 1041 (2021)
M. Prezioso, F. Merrikh-Bayat, B.D. Hoskins, G.C. Adam, K.K. Likharev, D.B. Strukov, Training and operation of an integrated neuromorphic network based on metal-oxide memristors. Nature 521, 61 (2015)
M. Guo, R.Y. Liu, M.L. Dou, G. Dou, An SBT-memristor-based crossbar memory circuit. Chin. Phys. B 30, 068402 (2021)
C.L. Li, Y.Y. Yang, X.B. Yang, X.Y. Zi, F.L. Xiao. A tristable locally active memristor and its application in Hopfield neural network. Nonlinear Dyn. (2022)
G. Dou, M.L. Dou, R.Y. Liu, M. Guo, Artificial synaptic behavior of the SBT-memristor. Chin. Phys. B 30, 078401 (2021)
L.O. Chua, If it’s pinched it’s a memristor. Semi. Sci. Tech. 29, 104001 (2014)
Z.I. Mannan, H. Choi, H. Kim, Chua corsage memristor oscillator via hopf bifurcation. Int. J. Bifurcat. Chaos. 26, 1630009 (2016)
Y. Liang, Z.Z. Lu, G.Y. Wang, Y.J. Dong, D.S. Yu, Modeling simplification and dynamic behavior of N-shaped locally-active memristor based oscillator. IEEE Access. 99, 1 (2020)
Y. Liang, G.Y. Wang, G.R. Chen, Y.J. Dong, D.S. Yu, L. Herbert Ho-ChingHerbert Ho-Ching, S-type locally active memristor-based periodic and chaotic oscillators. IEEE Trans. Circ. Syst. I. 99, 1 (2020)
H. Chang, Y.X. Li, G.R. Chen, F. Yuan, Extreme multistability and complex dynamics of a memristor-based chaotic system. Int. J. Bifurcat. Chaos 30, 434 (2020)
J.J. Ying, G.Y. Wang, Y.J. Dong, Switching characteristics of a locally-active memristor with binary memories. Int. J. Bifurcat. Chaos. 29, 1930030 (2019)
L.O. Chua, Local activity is the origin of complexity. Int. J. Bifurcat. Chaos. 15, 3435 (2011)
C.L. Li, Z.Y. Li, W. Feng, Y.N. Tong, D.Q. Wei, Dynamical behavior and image encryption application of a memristor-based circuit system. Int. J. Electron. Commun. 110, 152861 (2019)
Z.I. Mannan, H. Choi, V. Rajamani, H. Kim, L.O. Chua, Chua corsage memristor: phase portraits, basin of attraction, and coexisting pinched hysteresis loops. Int. J. Bifurcat. Chaos. 27, 1730011 (2017)
H. Chang, Z. Wang, Y.X. Li, G.R. Chen, Dynamic analysis of a bistable bi-local active memristor and its associated oscillator system. Int. J. Bifurcat. Chaos. 28, 1850105 (2018)
P.P. Jin, G.Y. Wang, L. Herbert Ho-Ching, F. Tyrone, A locally-active memristor and its application in chaotic circuit. IEEE Trans. Circ. Syst. II. 65, 246 (2017)
M.H. Zhu, C.H. Wang, Q.L. Deng, Q.H. Hong, Locally active memristor with three coexisting pinched hysteresis loops and its emulator circuit. Int. J. Bifurcat. Chaos. 30, 2050184 (2020)
R. Li, Z. Wang, E. Dong, A new locally active memristive synapse-coupled neuron model. Nonlinear Dyn. 104, 4459 (2021)
H.R. Lin, C.H. Wang, Q.H. Hong, Y.C. Sun, A multi-stable memristor and its application in a neural network. IEEE Trans. Circ. Syst. II. 99, 1 (2020)
Y.M. Tan, C.H. Wang, A simple locally active memristor and its application in HR neurons. Chaos 30, 053118 (2020)
H.R. Lin, C.H. Wang, Y.C. Sun, W. Yao, Firing multistability in a locally active memristive neuron model. Nonlinear Dyn. 100, 3667 (2020)
A. Ascoli, S. Slesazeck, H. Mähne, R. Tetzlaff, T. Mikolajick, Nonlinear dynamics of a locally-active memristor. IEEE Trans. Circ. Syst. I. 62, 1165 (2017)
L.O. Chua, Everything you wish to know about memristors but are afraid to ask. Radioengineering. 24, 319 (2015)
Y.J. Dong, G.Y. Wang, G.R. Chen, Y.R. Shen, J.J. Ying, A bistable nonvolatile locally-active memristor and its complex dynamics. Commun. Nonlinear Sci. Numer. Simul. 84, 105203 (2020)
L.O. Chua, Five non-volatile memristor enigmas solved. Appl. Phys. A 124, 563 (2018)
L.O. Chua, Resistance switching memories are memristors. Appl. Phys. A 102, 76 (2011)
K. Smagulova, O. Krestinskaya, A.P. James, A memristor-based long short term memory circuit. Analog Integr. Circ. S. 95, 467 (2018)
Y.B. Wang, G.Y. Wang, Y.R. Shen, L. Herbert Ho-Ching, A memristor neural network using synaptic plasticity and its associative memory. Circ. Syst. Signal Pr. 39, 3496 (2020)
Acknowledgements
This work was supported in part by Hunan Provincial Natural Science Foundation of China (No. 2019JJ40109); Science and Technology Program of Hunan Province (No. 2019TP1014); research and innovation project of the graduate students of Hunan Institute of Science and Technology (No. YCX2020A36).
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Paper conception: CL, ZC. Experimental conception and design: ZC. Experiment implementation: YY. Software simulation: ZC. Data analysis: ZC. Paper writing: ZC, CL.
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Chen, Z., Li, C., Li, H. et al. A S-type locally active memristor and its application in chaotic circuit. Eur. Phys. J. Spec. Top. 231, 3131–3142 (2022). https://doi.org/10.1140/epjs/s11734-022-00563-0
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DOI: https://doi.org/10.1140/epjs/s11734-022-00563-0