Structural and Parametric Identification of Knowm Memristors
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | Nanomaterials |
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| Online Access: | https://www.mdpi.com/2079-4991/12/1/63 |
| _version_ | 1827668043436654592 |
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| author | Valerii Ostrovskii Petr Fedoseev Yulia Bobrova Denis Butusov |
| author_facet | Valerii Ostrovskii Petr Fedoseev Yulia Bobrova Denis Butusov |
| author_sort | Valerii Ostrovskii |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T03:28:43Z |
| format | Article |
| id | doaj.art-216eaecef9724fdc9c3175242b5ea8b7 |
| institution | Directory Open Access Journal |
| issn | 2079-4991 |
| language | English |
| last_indexed | 2024-03-10T03:28:43Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Nanomaterials |
| spelling | doaj.art-216eaecef9724fdc9c3175242b5ea8b72023-11-23T12:00:58ZengMDPI AGNanomaterials2079-49912021-12-011216310.3390/nano12010063Structural and Parametric Identification of Knowm MemristorsValerii Ostrovskii0Petr Fedoseev1Yulia Bobrova2Denis Butusov3Department of Computer-Aided Design, St. Petersburg Electrotechnical University “LETI”, 197376 Saint Petersburg, RussiaDepartment of Computer-Aided Design, St. Petersburg Electrotechnical University “LETI”, 197376 Saint Petersburg, RussiaDepartment of Biomedical Engineering, St. Petersburg Electrotechnical University “LETI”, 197376 Saint Petersburg, RussiaYouth Research Institute, Saint Petersburg Electrotechnical University “LETI”, 197376 Saint Petersburg, RussiaThis 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.https://www.mdpi.com/2079-4991/12/1/63memristoridentificationvoltage-current curvememristive devicenonlinear component |
| spellingShingle | Valerii Ostrovskii Petr Fedoseev Yulia Bobrova Denis Butusov Structural and Parametric Identification of Knowm Memristors Nanomaterials memristor identification voltage-current curve memristive device nonlinear component |
| title | Structural and Parametric Identification of Knowm Memristors |
| title_full | Structural and Parametric Identification of Knowm Memristors |
| title_fullStr | Structural and Parametric Identification of Knowm Memristors |
| title_full_unstemmed | Structural and Parametric Identification of Knowm Memristors |
| title_short | Structural and Parametric Identification of Knowm Memristors |
| title_sort | structural and parametric identification of knowm memristors |
| topic | memristor identification voltage-current curve memristive device nonlinear component |
| url | https://www.mdpi.com/2079-4991/12/1/63 |
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