Memristor-based RRAM with applications

Duan, Shukai; Xiao, Hu; Wang, Lidan; Li, Chuan Dong; Mazumder, Pinaki

doi:10.1007/s11432-012-4572-0

Cited by 58 publications

(26 citation statements)

References 24 publications

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“…Research on a coupling behavior-based series-parallel flux-controlled memristor has been also conducted [8][9][10]. Two types of nanoscale nonlinear memristor models and their series-parallel circuit have been investigated [11], as have the characteristics of a memristor and its application in the circuit design [12][13][14][15][16][17]. First order mem-circuits have been studied [18].…”

Section: Introductionmentioning

confidence: 99%

Dynamical Properties of Fractional-Order Memristor

Wang

2020

Symmetry

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The properties of a fractional-order memristor is studied, and the influences of parameters are analyzed and compared. The results reflect that the resistance value of a fractional-order memristor can be affected by fraction-order, frequency, the switch resistor ratio, average mobility and so on. In addition, the circuit of a fractional-order memristor that is serially connected and connected in parallel with inductance and capacitance are studied. Then, the current–voltage characteristics of a simple series one-port circuits that are composed of a fractional-order memristor and a capacitor, or composed of a fractional-order memristor and a inductor are studied separately. The results demonstrate that at the periodic excitation, the memristor in the series circuits will have capacitive properties or inductive properties as the fractional order changes, the dynamical properties can be used in a memristive circuit.

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Section: Introductionmentioning

confidence: 99%

Dynamical Properties of Fractional-Order Memristor

Wang

2020

Symmetry

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“…Meanwhile, the magnetic device can be integrated into CMOS devices with exquisite technology and low cost [4]. As a promising nano-electronic, the spintronic device captures a number of unique properties that have found attractive potentials in various fields, such as nonvolatile memory, nonlinear circuit and system, neuromorphic system, signal processing, control, and learning system etc [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

A Spintronic Memristor Based PID Controller

Dong¹,

Duan²,

Hu³

et al. 2015

Proceedings of the AASRI International Conference on Industrial Electronics and Applications (2015)

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Abstract-The spintronic memristor was proposed based upon the magnetic theory shortly after the discovery of the Hewlett-Packard (HP) TiO2 memristor. Different from that of the TiO2 memristor, the resistance of a spintronic memristor not only depends on the historic profile of voltage and current through the device, but also is closely related to the current density. In this work, we review the mathematical model of the spintronic memristive device based on magnetic theory and analyze its memristive effects in detail. Then we provide a corresponding Simulink model. Furthermore, by incorporating the spintronic memristor into a conventional PID control circuit, the paper investigates an implementation approach for a novel compact memristive PID controller. The findings of the study may contribute to further development of the modern control technology, especially in hardware realization of micro-control system. Finally, reported simulations demonstrate the effectiveness of the proposed scheme.

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“…In 2008, Williams and his team from HP Lab proved the existence of the memristor in nanoscale electronics while developing ultra-high density nonvolatile memory [2]. Afterwards, the research on memristors or memristive systems has gained ever-increasing attention from both academia and industry [3][4][5][6][7][8][9][10][11][12]. In particular, many efforts have been devoted into discovery of some important properties of typical memristors [3,4], various memristive devices and materials [5][6][7], as well as promising application potentials [8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

“…(i) The memristor is a kind of nonlinear devices in simple sandwiching structure, featuring hysteretic currentvoltage characteristic under periodic external excitation conditions. (ii) The memristor's capabilities of nanoscale size, variable resistance and power-off mode storage make it a competitive candidate of the next-generation nonvolatile memory [8,9]. (iii) The conductivity of a memristor depends on the total flux/charge ever passing through it.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Synchronization of Memristor - based Chaotic Neural Systems

Hu¹,

Duan²

2015

JESTR

Self Cite

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Chaotic neural networks consisting of a great number of chaotic neurons are able to reproduce the rich dynamics observed in biological nervous systems. In recent years, the memristor has attracted much interest in the efficient implementation of artificial synapses and neurons. This work addresses adaptive synchronization of a class of memristor-based neural chaotic systems using a novel adaptive backstepping approach. A systematic design procedure is presented. Simulation results have demonstrated the effectiveness of the proposed adaptive synchronization method and its potential in practical application of memristive chaotic oscillators in secure communication.

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Memristor-based RRAM with applications

Cited by 58 publications

References 24 publications

Dynamical Properties of Fractional-Order Memristor

Dynamical Properties of Fractional-Order Memristor

A Spintronic Memristor Based PID Controller

Adaptive Synchronization of Memristor - based Chaotic Neural Systems

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