Open Access

Nanomaterials

, volume 12 , issue 1 , pages 63

Structural and Parametric Identification of Knowm Memristors

Valerii Ostrovskii ¹

Petr Fedoseev ¹

Yulia Bobrova ²

Denis Butusov ³

Hide authors affiliations Show authors affiliations: 3 affiliations

Department of Computer-Aided Design, St. Petersburg Electrotechnical University “LETI”, 197376 Saint Petersburg, Russia |

Department of Biomedical Engineering, St. Petersburg Electrotechnical University “LETI”, 197376 Saint Petersburg, Russia |

Youth Research Institute, Saint Petersburg Electrotechnical University “LETI”, 197376 Saint Petersburg, Russia |

Publication type: Journal Article

Publication date: 2021-12-27

MDPI

Nanomaterials

scimago Q1

wos Q2

SJR: 0.811

CiteScore: 9.2

Impact factor: 4.3

ISSN: 20794991

DOI: 10.3390/nano12010063

Copy DOI

PubMed ID: 35010013

General Chemical Engineering

General Materials Science

Abstract

This paper proposes a novel identification method for memristive devices using Knowm memristors as an example. The suggested identification method is presented as a generalized process for a wide range of memristive elements. An experimental setup was created to obtain a set of intrinsic I–V curves for Knowm memristors. Using the acquired measurements data and proposed identification technique, we developed a new mathematical model that considers low-current effects and cycle-to-cycle variability. The process of parametric identification for the proposed model is described. The obtained memristor model represents the switching threshold as a function of the state variables vector, making it possible to account for snapforward or snapback effects, frequency properties, and switching variability. Several tools for the visual presentation of the identification results are considered, and some limitations of the proposed model are discussed.

Found

1 citation

Butusov Denis

🥼 🤝

PhD in Engineering, associate professor

154 publications, 1 733 citations, 1 217 reviews

h-index: 22

Saint Petersburg Electrotechnical University "LETI"

Research interests

Nonlinear dynamics

1 citation

Rybin Vyacheslav

🤝

PhD in Engineering

56 publications, 472 citations, 162 reviews

h-index: 12

Saint Petersburg Electrotechnical University "LETI"

Research interests

Nonlinear dynamics

Robotics

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GOST Copy

Ostrovskii V. et al. Structural and Parametric Identification of Knowm Memristors // Nanomaterials. 2021. Vol. 12. No. 1. p. 63.

GOST all authors (up to 50) Copy

Ostrovskii V., Fedoseev P., Bobrova Y., Butusov D. Structural and Parametric Identification of Knowm Memristors // Nanomaterials. 2021. Vol. 12. No. 1. p. 63.

RIS |

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RIS Copy

TY - JOUR

DO - 10.3390/nano12010063

UR - https://doi.org/10.3390/nano12010063

TI - Structural and Parametric Identification of Knowm Memristors

T2 - Nanomaterials

AU - Ostrovskii, Valerii

AU - Fedoseev, Petr

AU - Bobrova, Yulia

AU - Butusov, Denis

PY - 2021

DA - 2021/12/27

PB - MDPI

SP - 63

IS - 1

VL - 12

PMID - 35010013

SN - 2079-4991

ER -

BibTex |

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BibTex (up to 50 authors) Copy

@article{2021_Ostrovskii,

author = {Valerii Ostrovskii and Petr Fedoseev and Yulia Bobrova and Denis Butusov},

title = {Structural and Parametric Identification of Knowm Memristors},

journal = {Nanomaterials},

year = {2021},

volume = {12},

publisher = {MDPI},

month = {dec},

url = {https://doi.org/10.3390/nano12010063},

number = {1},

pages = {63},

doi = {10.3390/nano12010063}

}

MLA

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MLA Copy

Ostrovskii, Valerii, et al. “Structural and Parametric Identification of Knowm Memristors.” Nanomaterials, vol. 12, no. 1, Dec. 2021, p. 63. https://doi.org/10.3390/nano12010063.

Publisher

MDPI

Journal

Nanomaterials

scimago Q1

wos Q2

SJR

0.811

CiteScore

9.2

Impact factor

4.3

ISSN

20794991 (Electronic)

Labs

Youth Research Institute

Profiles

Denis N Butusov