Dynamic Input Reconstruction for a Nonlinear Time-Delay System View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2002-02

AUTHORS

M. S. Blizorukova, V. I. Maksimov, L. Pandolfi

ABSTRACT

Dynamic reconstruction of the unknown input (disturbance, control) in a nonlinear system described by a time-delay differential equation is studied. An algorithm for solving this problem is designed by the model-control method and illustrated by an example.

PAGES

171-180

Journal

TITLE

Automation and Remote Control

ISSUE

2

VOLUME

63

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1014233405265

DOI

http://dx.doi.org/10.1023/a:1014233405265

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1036615203


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", 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institute of Mathematics and Mechanics", 
          "id": "https://www.grid.ac/institutes/grid.465287.a", 
          "name": [
            "Institute of Mathematics and Mechanics, Ural Branch, Russian Academy of Sciences, Yekaterinburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Blizorukova", 
        "givenName": "M. S.", 
        "id": "sg:person.015554655611.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015554655611.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute of Mathematics and Mechanics", 
          "id": "https://www.grid.ac/institutes/grid.465287.a", 
          "name": [
            "Institute of Mathematics and Mechanics, Ural Branch, Russian Academy of Sciences, Yekaterinburg, Russia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Maksimov", 
        "givenName": "V. I.", 
        "id": "sg:person.015257267001.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015257267001.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Polytechnical Institute, Turin, Italy"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pandolfi", 
        "givenName": "L.", 
        "id": "sg:person.012351424331.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012351424331.97"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2002-02", 
    "datePublishedReg": "2002-02-01", 
    "description": "Dynamic reconstruction of the unknown input (disturbance, control) in a nonlinear system described by a time-delay differential equation is studied. An algorithm for solving this problem is designed by the model-control method and illustrated by an example.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1023/a:1014233405265", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1136242", 
        "issn": [
          "0005-1179", 
          "0005-2310"
        ], 
        "name": "Automation and Remote Control", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "63"
      }
    ], 
    "name": "Dynamic Input Reconstruction for a Nonlinear Time-Delay System", 
    "pagination": "171-180", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "ae6c287645f75b02a09765363d3dafbc6796aaed535850e9c80cbce490d90c0e"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1023/a:1014233405265"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1036615203"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1023/a:1014233405265", 
      "https://app.dimensions.ai/details/publication/pub.1036615203"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:12", 
    "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_8659_00000500.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1023/A:1014233405265"
  }
]
 

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.10.1023/a:1014233405265'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1023/a:1014233405265'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1023/a:1014233405265'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1023/a:1014233405265'


 

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

69 TRIPLES      19 PREDICATES      25 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1023/a:1014233405265 schema:author N90d348ca1896489fa35baec23361cc3c
2 schema:datePublished 2002-02
3 schema:datePublishedReg 2002-02-01
4 schema:description Dynamic reconstruction of the unknown input (disturbance, control) in a nonlinear system described by a time-delay differential equation is studied. An algorithm for solving this problem is designed by the model-control method and illustrated by an example.
5 schema:genre research_article
6 schema:inLanguage en
7 schema:isAccessibleForFree false
8 schema:isPartOf N2bb6d205e56247feb78321da465fc2b7
9 Necf9a407fd3b467da3b64cfe8bece07c
10 sg:journal.1136242
11 schema:name Dynamic Input Reconstruction for a Nonlinear Time-Delay System
12 schema:pagination 171-180
13 schema:productId N693bf817317646acbb3063f08632550f
14 N7bc8f16668724f6182ad40f32407cb9f
15 Nd839831643d64b1abf0e9e3ab78d5929
16 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036615203
17 https://doi.org/10.1023/a:1014233405265
18 schema:sdDatePublished 2019-04-10T13:12
19 schema:sdLicense https://scigraph.springernature.com/explorer/license/
20 schema:sdPublisher Necea93357e7d46a38d1686388c828326
21 schema:url http://link.springer.com/10.1023/A:1014233405265
22 sgo:license sg:explorer/license/
23 sgo:sdDataset articles
24 rdf:type schema:ScholarlyArticle
25 N2bb6d205e56247feb78321da465fc2b7 schema:volumeNumber 63
26 rdf:type schema:PublicationVolume
27 N693bf817317646acbb3063f08632550f schema:name dimensions_id
28 schema:value pub.1036615203
29 rdf:type schema:PropertyValue
30 N6f42d920f47442259d8b71ed7755b9f0 schema:name Polytechnical Institute, Turin, Italy
31 rdf:type schema:Organization
32 N7bc8f16668724f6182ad40f32407cb9f schema:name doi
33 schema:value 10.1023/a:1014233405265
34 rdf:type schema:PropertyValue
35 N90d348ca1896489fa35baec23361cc3c rdf:first sg:person.015554655611.18
36 rdf:rest Ne0886afdebe244488f45be7b504d42e8
37 N99928aacb42c4063b2cee7313cea4add rdf:first sg:person.012351424331.97
38 rdf:rest rdf:nil
39 Nd839831643d64b1abf0e9e3ab78d5929 schema:name readcube_id
40 schema:value ae6c287645f75b02a09765363d3dafbc6796aaed535850e9c80cbce490d90c0e
41 rdf:type schema:PropertyValue
42 Ne0886afdebe244488f45be7b504d42e8 rdf:first sg:person.015257267001.99
43 rdf:rest N99928aacb42c4063b2cee7313cea4add
44 Necea93357e7d46a38d1686388c828326 schema:name Springer Nature - SN SciGraph project
45 rdf:type schema:Organization
46 Necf9a407fd3b467da3b64cfe8bece07c schema:issueNumber 2
47 rdf:type schema:PublicationIssue
48 sg:journal.1136242 schema:issn 0005-1179
49 0005-2310
50 schema:name Automation and Remote Control
51 rdf:type schema:Periodical
52 sg:person.012351424331.97 schema:affiliation N6f42d920f47442259d8b71ed7755b9f0
53 schema:familyName Pandolfi
54 schema:givenName L.
55 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012351424331.97
56 rdf:type schema:Person
57 sg:person.015257267001.99 schema:affiliation https://www.grid.ac/institutes/grid.465287.a
58 schema:familyName Maksimov
59 schema:givenName V. I.
60 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015257267001.99
61 rdf:type schema:Person
62 sg:person.015554655611.18 schema:affiliation https://www.grid.ac/institutes/grid.465287.a
63 schema:familyName Blizorukova
64 schema:givenName M. S.
65 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015554655611.18
66 rdf:type schema:Person
67 https://www.grid.ac/institutes/grid.465287.a schema:alternateName Institute of Mathematics and Mechanics
68 schema:name Institute of Mathematics and Mechanics, Ural Branch, Russian Academy of Sciences, Yekaterinburg, Russia
69 rdf:type schema:Organization
 




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


...