The Extended Linear-Drift Model of Memristor and Its Piecewise Linear Approximation

Xiaomu Mu; Juntang Yu; Shuning Wang

doi:10.1109/TST.2014.6838202

Tsinghua Science and Technology 2014, 19(3): 307-313 https://doi.org/10.1109/TST.2014.6838202

Open Access | Issue | Published: 18 June 2014

The Extended Linear-Drift Model of Memristor and Its Piecewise Linear Approximation

Show Author's Information Hide Author's Information Xiaomu Mu, Juntang Yu, Shuning Wang(

)

Tsinghua National Laboratory for Information Science and Technology and Department of Automation, Tsinghua University, Beijing 100084, China.

Keywords:

memristor, mathematical model, piecewise linear, hysteresis

Cite this article:

Mu X, Yu J, Wang S. The Extended Linear-Drift Model of Memristor and Its Piecewise Linear Approximation. Tsinghua Science and Technology, 2014, 19(3): 307-313. https://doi.org/10.1109/TST.2014.6838202

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Abstract

Memristor is introduced as the fourth basic circuit element. Memristor exhibits great potential for numerous applications, such as emulating synapse, while the mathematical model of the memristor is still an open subject. In the linear-drift model, the boundary condition of the device is not considered. This paper proposes an extended linear-drift model of the memristor. The extended linear-drift model keeps the linear characteristic and simplicity of the linear-drift model and considers the boundary condition of the device. A piecewise linear approximation model of the extended linear-drift model is given. Both models are suitable for describing the memristor.

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The Extended Linear-Drift Model of Memristor and Its Piecewise Linear Approximation

Show Author's information Hide Author's Information Xiaomu Mu, Juntang Yu, Shuning Wang(

)

Tsinghua National Laboratory for Information Science and Technology and Department of Automation, Tsinghua University, Beijing 100084, China.

Abstract

Keywords: memristor, mathematical model, piecewise linear, hysteresis

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Acknowledgements

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Publication history

Received: 02 July 2013

Revised: 26 March 2014

Accepted: 08 April 2014

Published: 18 June 2014

Issue date: June 2014

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Acknowledgements

This project was jointly supported by the National Natural Science Foundation of China (Nos. 61074118 and 61134012) and the National Key Basic Research and Development (973) Program of China (No. 2012CB720505).