Evaluating the attractor dimension of a nonlinear oscillator View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2004-03

AUTHORS

E. P. Seleznev, A. M. Zakharevich

ABSTRACT

The correlation dimension of a chaotic attractor of a nonautonomous nonlinear oscillator with variable control parameters is evaluated from experimental data. The dimension of a critical attractor shows good agreement with theoretical data. As the amplitude of the external action is varied, the chaotic attractor exhibits evolution such that the correlation dimension increases from a minimum value, determined by the properties of the critical attractor, to the nearest integer. More... »

PAGES

208-210

Identifiers

URI

http://scigraph.springernature.com/pub.10.1134/1.1707169

DOI

http://dx.doi.org/10.1134/1.1707169

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1008876117


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Artificial Intelligence and Image Processing", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Saratov Research Center", 
          "id": "https://www.grid.ac/institutes/grid.467111.4", 
          "name": [
            "Saratov Branch of the Institute of Radio Engineering and Electronics, Russian Academy of Sciences, Saratov, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Seleznev", 
        "givenName": "E. P.", 
        "id": "sg:person.016245051021.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016245051021.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Saratov Research Center", 
          "id": "https://www.grid.ac/institutes/grid.467111.4", 
          "name": [
            "Saratov Branch of the Institute of Radio Engineering and Electronics, Russian Academy of Sciences, Saratov, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zakharevich", 
        "givenName": "A. M.", 
        "id": "sg:person.016075062032.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016075062032.92"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1103/physreva.31.3332", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060473359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreva.31.3332", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060473359"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreva.31.3750", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060473429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreva.31.3750", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060473429"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreva.33.1141", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060474178"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreva.33.1141", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060474178"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreva.41.619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060481568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreva.41.619", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060481568"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.47.3057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060715208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.47.3057", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060715208"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.54.4819", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060719987"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.54.4819", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060719987"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.56.199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060721224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physreve.56.199", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060721224"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.47.1349", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060786476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.47.1349", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060786476"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.50.346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060788721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.50.346", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060788721"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.70.3872", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060807105"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1103/physrevlett.70.3872", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060807105"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1364/josab.5.001020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1065176908"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2004-03", 
    "datePublishedReg": "2004-03-01", 
    "description": "The correlation dimension of a chaotic attractor of a nonautonomous nonlinear oscillator with variable control parameters is evaluated from experimental data. The dimension of a critical attractor shows good agreement with theoretical data. As the amplitude of the external action is varied, the chaotic attractor exhibits evolution such that the correlation dimension increases from a minimum value, determined by the properties of the critical attractor, to the nearest integer.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1134/1.1707169", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136630", 
        "issn": [
          "1063-7850", 
          "1090-6533"
        ], 
        "name": "Technical Physics Letters", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "name": "Evaluating the attractor dimension of a nonlinear oscillator", 
    "pagination": "208-210", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "2a49b93f7e4e5ed3b7e9908fed1680972a8d1160251315f06194d5fac61521ec"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1134/1.1707169"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1008876117"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1134/1.1707169", 
      "https://app.dimensions.ai/details/publication/pub.1008876117"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:06", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8660_00000498.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1134/1.1707169"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1134/1.1707169'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1134/1.1707169'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/1.1707169'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/1.1707169'


 

This table displays all metadata directly associated to this object as RDF triples.

101 TRIPLES      21 PREDICATES      38 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1134/1.1707169 schema:about anzsrc-for:08
2 anzsrc-for:0801
3 schema:author N71790affd9b44f119d181d9789cf4590
4 schema:citation https://doi.org/10.1103/physreva.31.3332
5 https://doi.org/10.1103/physreva.31.3750
6 https://doi.org/10.1103/physreva.33.1141
7 https://doi.org/10.1103/physreva.41.619
8 https://doi.org/10.1103/physreve.47.3057
9 https://doi.org/10.1103/physreve.54.4819
10 https://doi.org/10.1103/physreve.56.199
11 https://doi.org/10.1103/physrevlett.47.1349
12 https://doi.org/10.1103/physrevlett.50.346
13 https://doi.org/10.1103/physrevlett.70.3872
14 https://doi.org/10.1364/josab.5.001020
15 schema:datePublished 2004-03
16 schema:datePublishedReg 2004-03-01
17 schema:description The correlation dimension of a chaotic attractor of a nonautonomous nonlinear oscillator with variable control parameters is evaluated from experimental data. The dimension of a critical attractor shows good agreement with theoretical data. As the amplitude of the external action is varied, the chaotic attractor exhibits evolution such that the correlation dimension increases from a minimum value, determined by the properties of the critical attractor, to the nearest integer.
18 schema:genre research_article
19 schema:inLanguage en
20 schema:isAccessibleForFree false
21 schema:isPartOf N2b515d1f689f430ea1b7e46db028b3b6
22 N55e19cbc4ce94d668bab11547e0822e8
23 sg:journal.1136630
24 schema:name Evaluating the attractor dimension of a nonlinear oscillator
25 schema:pagination 208-210
26 schema:productId N58b1f5d92f40429bb31e8663205626e5
27 N6d9ea73bf28841ff9a855dd548341dfd
28 Nb55099af99af405eab9830f7d7951425
29 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008876117
30 https://doi.org/10.1134/1.1707169
31 schema:sdDatePublished 2019-04-10T14:06
32 schema:sdLicense https://scigraph.springernature.com/explorer/license/
33 schema:sdPublisher Nca22fe1de72c4c9fb9147e7146162028
34 schema:url http://link.springer.com/10.1134/1.1707169
35 sgo:license sg:explorer/license/
36 sgo:sdDataset articles
37 rdf:type schema:ScholarlyArticle
38 N1721ab6807ee4e63bae350dba2773934 rdf:first sg:person.016075062032.92
39 rdf:rest rdf:nil
40 N2b515d1f689f430ea1b7e46db028b3b6 schema:volumeNumber 30
41 rdf:type schema:PublicationVolume
42 N55e19cbc4ce94d668bab11547e0822e8 schema:issueNumber 3
43 rdf:type schema:PublicationIssue
44 N58b1f5d92f40429bb31e8663205626e5 schema:name readcube_id
45 schema:value 2a49b93f7e4e5ed3b7e9908fed1680972a8d1160251315f06194d5fac61521ec
46 rdf:type schema:PropertyValue
47 N6d9ea73bf28841ff9a855dd548341dfd schema:name dimensions_id
48 schema:value pub.1008876117
49 rdf:type schema:PropertyValue
50 N71790affd9b44f119d181d9789cf4590 rdf:first sg:person.016245051021.12
51 rdf:rest N1721ab6807ee4e63bae350dba2773934
52 Nb55099af99af405eab9830f7d7951425 schema:name doi
53 schema:value 10.1134/1.1707169
54 rdf:type schema:PropertyValue
55 Nca22fe1de72c4c9fb9147e7146162028 schema:name Springer Nature - SN SciGraph project
56 rdf:type schema:Organization
57 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
58 schema:name Information and Computing Sciences
59 rdf:type schema:DefinedTerm
60 anzsrc-for:0801 schema:inDefinedTermSet anzsrc-for:
61 schema:name Artificial Intelligence and Image Processing
62 rdf:type schema:DefinedTerm
63 sg:journal.1136630 schema:issn 1063-7850
64 1090-6533
65 schema:name Technical Physics Letters
66 rdf:type schema:Periodical
67 sg:person.016075062032.92 schema:affiliation https://www.grid.ac/institutes/grid.467111.4
68 schema:familyName Zakharevich
69 schema:givenName A. M.
70 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016075062032.92
71 rdf:type schema:Person
72 sg:person.016245051021.12 schema:affiliation https://www.grid.ac/institutes/grid.467111.4
73 schema:familyName Seleznev
74 schema:givenName E. P.
75 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016245051021.12
76 rdf:type schema:Person
77 https://doi.org/10.1103/physreva.31.3332 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060473359
78 rdf:type schema:CreativeWork
79 https://doi.org/10.1103/physreva.31.3750 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060473429
80 rdf:type schema:CreativeWork
81 https://doi.org/10.1103/physreva.33.1141 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060474178
82 rdf:type schema:CreativeWork
83 https://doi.org/10.1103/physreva.41.619 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060481568
84 rdf:type schema:CreativeWork
85 https://doi.org/10.1103/physreve.47.3057 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060715208
86 rdf:type schema:CreativeWork
87 https://doi.org/10.1103/physreve.54.4819 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060719987
88 rdf:type schema:CreativeWork
89 https://doi.org/10.1103/physreve.56.199 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060721224
90 rdf:type schema:CreativeWork
91 https://doi.org/10.1103/physrevlett.47.1349 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060786476
92 rdf:type schema:CreativeWork
93 https://doi.org/10.1103/physrevlett.50.346 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060788721
94 rdf:type schema:CreativeWork
95 https://doi.org/10.1103/physrevlett.70.3872 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060807105
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1364/josab.5.001020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1065176908
98 rdf:type schema:CreativeWork
99 https://www.grid.ac/institutes/grid.467111.4 schema:alternateName Saratov Research Center
100 schema:name Saratov Branch of the Institute of Radio Engineering and Electronics, Russian Academy of Sciences, Saratov, Russia
101 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...