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A non-local structural derivative model for memristor

Author

Listed:
  • Qiu, Lin
  • Chen, Wen
  • Wang, Fajie
  • Lin, Ji

Abstract

The memristor is of great application and significance in the integrated circuit design, the realization of large-capacity non-volatile memories and the neuromorphic systems. This paper firstly proposes the non-local structural derivative memristor model with two-degree-of-freedom increased to portray the memory effect of memristor. Actually, the developed is a more generalized model that will be reduced to the classical one when the fractal characteristic index α = 1. The proposed model is more flexible than the classical ideal memory model and Riemann Liouville memristor model under the same conditions. In addition, the memory effect described by the present scheme could be adjusted by the position parameter δ. This work provides a new methodology not only to describe the memory effect of the memristor, but also to easily portray the memristor with ultra-weak memory.

Suggested Citation

  • Qiu, Lin & Chen, Wen & Wang, Fajie & Lin, Ji, 2019. "A non-local structural derivative model for memristor," Chaos, Solitons & Fractals, Elsevier, vol. 126(C), pages 169-177.
    • Handle: RePEc:eee:chsofr:v:126:y:2019:i:c:p:169-177
    DOI: 10.1016/j.chaos.2019.05.040
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    References listed on IDEAS

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    1. C. Sánchez-López & V. H. Carbajal-Gómez & M. A. Carrasco-Aguilar & I. Carro-Pérez, 2018. "Fractional-Order Memristor Emulator Circuits," Complexity, Hindawi, vol. 2018, pages 1-10, May.
    2. Yu, Xiangnan & Zhang, Yong & Sun, HongGuang & Zheng, Chunmiao, 2018. "Time fractional derivative model with Mittag-Leffler function kernel for describing anomalous diffusion: Analytical solution in bounded-domain and model comparison," Chaos, Solitons & Fractals, Elsevier, vol. 115(C), pages 306-312.
    3. Dmitri B. Strukov & Gregory S. Snider & Duncan R. Stewart & R. Stanley Williams, 2008. "The missing memristor found," Nature, Nature, vol. 453(7191), pages 80-83, May.
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