Stochastic Preisach operator: definition within the design approach
Abstract In this paper, we generalize the Preisach model to the case when parameters of elementary relays are random variables. We show that an output state of the stochastic Preisach operator can be treated as a random process. For this random process the first and second statistical moments are ob...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Semenov, Mikhail E. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Nature B.V. 2020 |
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| Übergeordnetes Werk: |
Enthalten in: Nonlinear dynamics - Springer Netherlands, 1990, 101(2020), 4 vom: 31. Aug., Seite 2599-2614 |
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| Übergeordnetes Werk: |
volume:101 ; year:2020 ; number:4 ; day:31 ; month:08 ; pages:2599-2614 |
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| DOI / URN: |
10.1007/s11071-020-05907-w |
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OLC2120202605 |
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| 520 | |a Abstract In this paper, we generalize the Preisach model to the case when parameters of elementary relays are random variables. We show that an output state of the stochastic Preisach operator can be treated as a random process. For this random process the first and second statistical moments are obtained in an explicit form. We prove also the correctness of the definition of such an operator. Illustrative numerical examples are also presented and discussed. | ||
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10.1007/s11071-020-05907-w doi (DE-627)OLC2120202605 (DE-He213)s11071-020-05907-w-p DE-627 ger DE-627 rakwb eng 510 VZ 11 ssgn Semenov, Mikhail E. verfasserin (orcid)0000-0002-3361-1102 aut Stochastic Preisach operator: definition within the design approach 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Nature B.V. 2020 Abstract In this paper, we generalize the Preisach model to the case when parameters of elementary relays are random variables. We show that an output state of the stochastic Preisach operator can be treated as a random process. For this random process the first and second statistical moments are obtained in an explicit form. We prove also the correctness of the definition of such an operator. Illustrative numerical examples are also presented and discussed. Hysteresis Non-ideal relay Preisach operator Random process Borzunov, Sergei V. aut Meleshenko, Peter A. aut Enthalten in Nonlinear dynamics Springer Netherlands, 1990 101(2020), 4 vom: 31. Aug., Seite 2599-2614 (DE-627)130936782 (DE-600)1058624-6 (DE-576)034188126 0924-090X nnns volume:101 year:2020 number:4 day:31 month:08 pages:2599-2614 https://doi.org/10.1007/s11071-020-05907-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-MAT SSG-OPC-MAT AR 101 2020 4 31 08 2599-2614 |
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10.1007/s11071-020-05907-w doi (DE-627)OLC2120202605 (DE-He213)s11071-020-05907-w-p DE-627 ger DE-627 rakwb eng 510 VZ 11 ssgn Semenov, Mikhail E. verfasserin (orcid)0000-0002-3361-1102 aut Stochastic Preisach operator: definition within the design approach 2020 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Nature B.V. 2020 Abstract In this paper, we generalize the Preisach model to the case when parameters of elementary relays are random variables. We show that an output state of the stochastic Preisach operator can be treated as a random process. For this random process the first and second statistical moments are obtained in an explicit form. We prove also the correctness of the definition of such an operator. Illustrative numerical examples are also presented and discussed. Hysteresis Non-ideal relay Preisach operator Random process Borzunov, Sergei V. aut Meleshenko, Peter A. aut Enthalten in Nonlinear dynamics Springer Netherlands, 1990 101(2020), 4 vom: 31. Aug., Seite 2599-2614 (DE-627)130936782 (DE-600)1058624-6 (DE-576)034188126 0924-090X nnns volume:101 year:2020 number:4 day:31 month:08 pages:2599-2614 https://doi.org/10.1007/s11071-020-05907-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-MAT SSG-OPC-MAT AR 101 2020 4 31 08 2599-2614 |
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Abstract In this paper, we generalize the Preisach model to the case when parameters of elementary relays are random variables. We show that an output state of the stochastic Preisach operator can be treated as a random process. For this random process the first and second statistical moments are obtained in an explicit form. We prove also the correctness of the definition of such an operator. Illustrative numerical examples are also presented and discussed. © Springer Nature B.V. 2020 |
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Abstract In this paper, we generalize the Preisach model to the case when parameters of elementary relays are random variables. We show that an output state of the stochastic Preisach operator can be treated as a random process. For this random process the first and second statistical moments are obtained in an explicit form. We prove also the correctness of the definition of such an operator. Illustrative numerical examples are also presented and discussed. © Springer Nature B.V. 2020 |
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Abstract In this paper, we generalize the Preisach model to the case when parameters of elementary relays are random variables. We show that an output state of the stochastic Preisach operator can be treated as a random process. For this random process the first and second statistical moments are obtained in an explicit form. We prove also the correctness of the definition of such an operator. Illustrative numerical examples are also presented and discussed. © Springer Nature B.V. 2020 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">OLC2120202605</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230504174516.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">230504s2020 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11071-020-05907-w</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC2120202605</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-He213)s11071-020-05907-w-p</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">510</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">11</subfield><subfield code="2">ssgn</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Semenov, Mikhail E.</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0002-3361-1102</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Stochastic Preisach operator: definition within the design approach</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2020</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Springer Nature B.V. 2020</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract In this paper, we generalize the Preisach model to the case when parameters of elementary relays are random variables. 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