A pulse train controlled Buck converter based on a single memristive multi-vibrator

References

• Bao, H., Hu, A., Liu, W., & Bao, B. (2019). Hidden bursting firings and bifurcation mechanisms in memristive Neuron model with threshold electromagnetic induction. IEEE Transactions on Neural Networks and Learning Systems, 31(2), 502–511. https://doi.org/10.1109/TNNLS.2019.2905137
   PubMed Web of Science ®Google Scholar
• Bao, B., Ma, Z., Xu, J., Liu, Z., & Xu, Q. (2011). A simple memristor chaotic circuit with complex dynamics. International Journal of Bifurcation and Chaos, 21(9), 2629–2645. https://doi.org/10.1142/S0218127411029999
   Web of Science ®Google Scholar
• Chen, M., Sun, M., Bao, H., Hu, Y., & Bao, B. (2019). Flux–charge analysis of two-memristor-based Chua’s circuit: Dimensionality decreasing model for detecting extreme multistability. IEEE Transactions on Industrial Electronics, 67(3), 2197–2206. https://doi.org/10.1109/TIE.2019.2907444
   Web of Science ®Google Scholar
• Eshraghian, K., Cho, K. R., Kavehei, O., Kang, S. K., Abbott, D., & Kang, S. M. S. (2010). Memristor MOS content addressable memory (MCAM): Hybrid architecture for future high performance search engines. IEEE Transactions on Very Large Scale Integration Systems, 19(8), 1407–1417. https://doi.org/10.1109/TVLSI.2010.2049867
   Google Scholar
• Feng, L., & Ma, D. (2009). An integrated switching DC-DC converter with dual-mode pulse-train/PWM control. IEEE Transactions on Circuits and Systems II, 56(2), 152–156.
   Google Scholar
• Ho, Y., Huang, G. M., & Li, P. (2010). Dynamical properties and design analysis for nonvolatile memristor memories. Circuits and Systems I: Regular Papers. IEEE Transactions On Circuits and Systems I: Regular Papers, 58(4), 724–736. https://doi.org/10.1109/TCSI.2010.2078710
   Web of Science ®Google Scholar
• Hu, M., Li, H., Chen, Y., Wang, X., Pino, R. E. (2011). Geometry variations analysis of Tio2 thin-film and spintronic memristors what is memristor. 16th Asia and South Pacific Design Automation Conference (ASP-DAC 2011), Pacifico Yokohama, Yokohama, Japan (Vol. 2011, pp. 25–30).
   Google Scholar
• Jiang, Y., Li, C., Zhang, C., Zhao, Y., & Zang, H. (2021). A Double-memristor hyperchaotic oscillator with complete amplitude control. IEEE Transactions on Circuits & Systems I: Regular Papers, 68(12), 4935–4944. https://doi.org/10.1109/TCSI.2021.3121499
   Web of Science ®Google Scholar
• Jo, K. H., Jung, C. M., Min, K. S., & Kang, S. M. (2010). Self-adaptive write circuit for low-power and variation-tolerant memristors. IEEE Transactions on Nanotechnology, 9(6), 675–678. https://doi.org/10.1109/TNANO.2010.2052108
   Web of Science ®Google Scholar
• Kim, K. M., & Williams, R. S. (2019). A family of stateful memristor gates for complete cascading logic. IEEE Transactions on Circuits & Systems I: Regular Papers, 66(11), 4348–4355. https://doi.org/10.1109/TCSI.2019.2926811
   Web of Science ®Google Scholar
• Kvatinsky, S., Friedman, E. G., Kolodny, A., & Weiser, U. C. (2012). TEAM: Threshold adaptive memristor model. IEEE Transactions on Circuits & Systems I: Regular Papers, 60(1), 211–221. https://doi.org/10.1109/TCSI.2012.2215714
   Web of Science ®Google Scholar
• Kvatinsky, S., Ramadan, M., Friedman, E. G., & Kolodny, A. (2015). VTEAM: A general model for voltage-controlled memristors. IEEE Transactions on Circuits & Systems II: Express Briefs, 62(8), 786–790. https://doi.org/10.1109/TCSII.2015.2433536
   Web of Science ®Google Scholar
• Liang, Y., Wang, G., Chen, G., Dong, Y., Yu, D., & Iu, H. H. C. (2020). S-Type Locally active memristor-based periodic and chaotic oscillators. IEEE Transactions on Circuits & Systems I: Regular Papers, 67(12), 5139–5152. https://doi.org/10.1109/TCSI.2020.3017286
   Web of Science ®Google Scholar
• Li, K., Bao, H., Li, H., Ma, J., Hua, Z., & Bao, B. (2021). Memristive rulkov neuron model with magnetic induction effects. IEEE Transactions on Industrial Informatics, 18(3), 1726–1736. https://doi.org/10.1109/TII.2021.3086819
   Web of Science ®Google Scholar
• Manem, H., Rose, G. S., He, X., Wang, W. (2010). Design considerations for variation tolerant multilevel CMOS/Nano memristor memory. Proceedings of the 20th symposium on VLSI 2010 (GLSVLSI 2010), Providence, RI, USA, 287–292.
   Google Scholar
• Pershin, Y. V., & Ventra, M. D. (2010). Experimental demonstration of associative memory with memristive neural networks. Neural Networks, 23(7), 881–886. https://doi.org/10.1016/j.neunet.2010.05.001
   PubMed Web of Science ®Google Scholar
• Sabarathinam, S., & Thamilmaran, K. (2017). Effect of variable memristor emulator in a duffing nonlinear oscillator. AIP Conference Proceedings, 1832(1), 060007.
   Google Scholar
• Sánchez-López, C., Mendoza-López, J., Carrasco-Aguilar, M. A. and Morales-López, F. E. (2013). A simple floating memristor emulator circuit based on current conveyors. International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE), Mexico City, Mexico, 445–448.
   Google Scholar
• Sha, J., Xu, D., Chen, Y., Xu, J., & Williams, B. W. (2016). A peak-capacitor-current pulse-train-controlled Buck converter with fast transient response and a wide load range. IEEE Transactions on Industrial Electronics, 63(3), 1528–153. https://doi.org/10.1109/TIE.2015.2494851
   Web of Science ®Google Scholar
• Sha, J., Xu, J., Zhong, S., Liu, S., & Xu, L. (2015). Control pulse combination-based analysis of pulse train controlled DCM switching DC–DC converters. IEEE Transactions on Industrial Electronics, 62(1), 246–255. https://doi.org/10.1109/TIE.2014.2327002
   Web of Science ®Google Scholar
• Sung, C., Sun, M., & Yoo, I. K. (2018). Perspective: A review on memristive hardware for neuromorphic computation. Journal of Applied Physics, 124(15), 151903. https://doi.org/10.1063/1.5037835
   Web of Science ®Google Scholar
• Vontobel, P. O., Robinett, W., Kuekes, P. J., Stewart, D. R., Straznicky, J., & Williams, R. S. (2009). Writing to and reading from a nano-scale crossbar memory based on memristors. Nanotechnology, 20(42), 425204. https://doi.org/10.1088/0957-4484/20/42/425204
   PubMed Web of Science ®Google Scholar
• Vourkas, I., & Sirakoulis, G. C. (2012). A novel design and modelling paradigm for memristor-based crossbar Circuits. IEEE Transactions on Nanotechnology, 11(6), 1151–1159. https://doi.org/10.1109/TNANO.2012.2217153
   Web of Science ®Google Scholar
• Wang, X., Chen, Y., Xi, H., Li, H., & Dimitrov, D. (2009). Spintronic memristor through spin-torque-induced magnetization motion. IEEE Electron Device Letters, 30(3), 294–297. https://doi.org/10.1109/LED.2008.2012270
   Web of Science ®Google Scholar
• Wang, H., Qi, M., & Wang, B. (2017). PPV modelling of memristor-based oscillators and application to ONN pattern recognition. IEEE Transactions on Circuits & Systems II: Express Briefs, 64(6), 610–614. https://doi.org/10.1109/TCSII.2016.2591961
   Web of Science ®Google Scholar
• Yang, J. J., Strukov, D. B., & Stewart, D. R. (2013). Memristive devices for computing. Nature Nanotechnology, 8(1), 13–24. https://doi.org/10.1038/nnano.2012.240
   PubMed Web of Science ®Google Scholar
• Yu, D., C, I. H., L, F. A., & Liang, Y. (2017). A floating memristor emulator based relaxation oscillator. IEEE Transactions on Circuits & Systems I: Regular Papers, 61(10), 2888–2896. https://doi.org/10.1109/TCSI.2014.2333687
   Google Scholar
• Yu, J., Zhou, X. 2022. Realization of PT controlled Buck converter using switchable memristor based pulse generator. The 2nd International Joint Conference on Energy, Electrical and Power Engineering (CoEEPE), Heifei, Anhui, China, 301–309.
   Google Scholar
• Zhou, G., Tan, W., Zhou, S., Wang, Y., & Ye, X. (2018). Analysis of pulse train controlled PCCM Boost converter with low frequency oscillation suppression. IEEE Access, 6, 68795–68803. https://doi.org/10.1109/ACCESS.2018.2879888
   Web of Science ®Google Scholar