D-decomposition technique state-of-the-art View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2008-12

AUTHORS

E. N. Gryazina, B. T. Polyak, A. A. Tremba

ABSTRACT

It is a survey of recent extensions and new applications for the classical D-decomposition technique. We investigate the structure of the parameter space decomposition into root invariant regions for single-input single-output systems linear depending on the parameters. The D-decomposition for uncertain polynomials is considered as well as the problem of describing all stabilizing controllers of the certain structure (for instance, PID-controllers) that satisfy given H∞-criterion. It is shown that the D-decomposition technique can be naturally linked with M-Δ framework (a general scheme for analysis of uncertain systems) and it is applicable for describing feasible sets for linear matrix inequalities. The problem of robust synthesis for linear systems can be also treated via D-decomposition technique. More... »

PAGES

1991-2026

References to SciGraph publications

  • 1999-12. Hit-and-run mixes fast in MATHEMATICAL PROGRAMMING
  • 1987. A Course in H∞ Control Theory in NONE
  • 2003. Robust Linear Algebra and Robust Aperiodicity in DIRECTIONS IN MATHEMATICAL SYSTEMS THEORY AND OPTIMIZATION
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1134/s0005117908120011

    DOI

    http://dx.doi.org/10.1134/s0005117908120011

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1037368182


    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/2008/0102", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Applied Mathematics", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Mathematical Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "V. A. Trapeznikov Institute of Control Sciences", 
              "id": "https://www.grid.ac/institutes/grid.435155.3", 
              "name": [
                "Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gryazina", 
            "givenName": "E. N.", 
            "id": "sg:person.013764154021.72", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013764154021.72"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "V. A. Trapeznikov Institute of Control Sciences", 
              "id": "https://www.grid.ac/institutes/grid.435155.3", 
              "name": [
                "Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Polyak", 
            "givenName": "B. T.", 
            "id": "sg:person.015115716271.71", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015115716271.71"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "V. A. Trapeznikov Institute of Control Sciences", 
              "id": "https://www.grid.ac/institutes/grid.435155.3", 
              "name": [
                "Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tremba", 
            "givenName": "A. A.", 
            "id": "sg:person.016040151431.52", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016040151431.52"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/0167-6911(86)90068-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002775975"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3182/20050703-6-cz-1902.00469", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003175409"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s101070050099", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003304155", 
              "https://doi.org/10.1007/s101070050099"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/b978-0-08-042230-5.50016-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004886203"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-36106-5_19", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009091681", 
              "https://doi.org/10.1007/3-540-36106-5_19"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0005-1098(02)00180-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009493218"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0005-1098(95)00024-q", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010205087"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0005-1098(03)00078-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016114657"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0005-1098(03)00078-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016114657"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0167-6911(94)90039-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017464242"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0167-6911(94)90039-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017464242"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rspa.1929.0143", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021670838"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.automatica.2005.08.010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022497504"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/00207178708933889", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026295509"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/00207178908559699", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027604403"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0167-6911(87)90102-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033833750"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0005-1098(03)00034-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036475805"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0005-1098(03)00034-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036475805"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.sysconle.2006.11.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037415169"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1099-1239(200002)10:2<83::aid-rnc464>3.0.co;2-l", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040551529"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/rnc.668", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049666170"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/00207178808906250", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050904444"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/00207170412331332506", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051166566"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3182/20080706-5-kr-1001.00064", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053434413"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/9.618239", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061245384"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/9.661607", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061245547"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tac.1966.1098230", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061469089"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tac.2003.809768", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061475267"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tac.2003.811268", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061475310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tac.2004.825961", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061475599"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tai.1959.6371486", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061487644"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/tai.1964.5407721", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1061488052"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/1136038", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062868524"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/s009753970544727x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062879609"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/s1052623400374756", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062883212"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1287/opre.32.6.1296", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064729571"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/cdc.1993.325093", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086357267"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1109/cdc.2004.1429653", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093789668"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/1.9780898718829", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1098555827"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/1.9781611970777", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1098556247"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1137/1.9781611970791", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1098556249"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bfb0007371", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1109719091", 
              "https://doi.org/10.1007/bfb0007371"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bfb0007371", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1109719091", 
              "https://doi.org/10.1007/bfb0007371"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bfb0007371", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1109719091", 
              "https://doi.org/10.1007/bfb0007371"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2008-12", 
        "datePublishedReg": "2008-12-01", 
        "description": "It is a survey of recent extensions and new applications for the classical D-decomposition technique. We investigate the structure of the parameter space decomposition into root invariant regions for single-input single-output systems linear depending on the parameters. The D-decomposition for uncertain polynomials is considered as well as the problem of describing all stabilizing controllers of the certain structure (for instance, PID-controllers) that satisfy given H\u221e-criterion. It is shown that the D-decomposition technique can be naturally linked with M-\u0394 framework (a general scheme for analysis of uncertain systems) and it is applicable for describing feasible sets for linear matrix inequalities. The problem of robust synthesis for linear systems can be also treated via D-decomposition technique.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1134/s0005117908120011", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1136242", 
            "issn": [
              "0005-1179", 
              "0005-2310"
            ], 
            "name": "Automation and Remote Control", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "12", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "69"
          }
        ], 
        "name": "D-decomposition technique state-of-the-art", 
        "pagination": "1991-2026", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "b201c42d21bdce46681c1f92c330952c3802218986e7a5b39ddcb80ed47a06b0"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1134/s0005117908120011"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1037368182"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1134/s0005117908120011", 
          "https://app.dimensions.ai/details/publication/pub.1037368182"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T18:31", 
        "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_8675_00000591.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1134/S0005117908120011"
      }
    ]
     

    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/s0005117908120011'

    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/s0005117908120011'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1134/s0005117908120011'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1134/s0005117908120011'


     

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

    195 TRIPLES      21 PREDICATES      66 URIs      19 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1134/s0005117908120011 schema:about anzsrc-for:01
    2 anzsrc-for:0102
    3 schema:author Nb76b77b8ea1b4bc58984dd3779861244
    4 schema:citation sg:pub.10.1007/3-540-36106-5_19
    5 sg:pub.10.1007/bfb0007371
    6 sg:pub.10.1007/s101070050099
    7 https://doi.org/10.1002/(sici)1099-1239(200002)10:2<83::aid-rnc464>3.0.co;2-l
    8 https://doi.org/10.1002/rnc.668
    9 https://doi.org/10.1016/0005-1098(95)00024-q
    10 https://doi.org/10.1016/0167-6911(86)90068-x
    11 https://doi.org/10.1016/0167-6911(87)90102-2
    12 https://doi.org/10.1016/0167-6911(94)90039-6
    13 https://doi.org/10.1016/b978-0-08-042230-5.50016-5
    14 https://doi.org/10.1016/j.automatica.2005.08.010
    15 https://doi.org/10.1016/j.sysconle.2006.11.002
    16 https://doi.org/10.1016/s0005-1098(02)00180-2
    17 https://doi.org/10.1016/s0005-1098(03)00034-7
    18 https://doi.org/10.1016/s0005-1098(03)00078-5
    19 https://doi.org/10.1080/00207170412331332506
    20 https://doi.org/10.1080/00207178708933889
    21 https://doi.org/10.1080/00207178808906250
    22 https://doi.org/10.1080/00207178908559699
    23 https://doi.org/10.1098/rspa.1929.0143
    24 https://doi.org/10.1109/9.618239
    25 https://doi.org/10.1109/9.661607
    26 https://doi.org/10.1109/cdc.1993.325093
    27 https://doi.org/10.1109/cdc.2004.1429653
    28 https://doi.org/10.1109/tac.1966.1098230
    29 https://doi.org/10.1109/tac.2003.809768
    30 https://doi.org/10.1109/tac.2003.811268
    31 https://doi.org/10.1109/tac.2004.825961
    32 https://doi.org/10.1109/tai.1959.6371486
    33 https://doi.org/10.1109/tai.1964.5407721
    34 https://doi.org/10.1137/1.9780898718829
    35 https://doi.org/10.1137/1.9781611970777
    36 https://doi.org/10.1137/1.9781611970791
    37 https://doi.org/10.1137/1136038
    38 https://doi.org/10.1137/s009753970544727x
    39 https://doi.org/10.1137/s1052623400374756
    40 https://doi.org/10.1287/opre.32.6.1296
    41 https://doi.org/10.3182/20050703-6-cz-1902.00469
    42 https://doi.org/10.3182/20080706-5-kr-1001.00064
    43 schema:datePublished 2008-12
    44 schema:datePublishedReg 2008-12-01
    45 schema:description It is a survey of recent extensions and new applications for the classical D-decomposition technique. We investigate the structure of the parameter space decomposition into root invariant regions for single-input single-output systems linear depending on the parameters. The D-decomposition for uncertain polynomials is considered as well as the problem of describing all stabilizing controllers of the certain structure (for instance, PID-controllers) that satisfy given H∞-criterion. It is shown that the D-decomposition technique can be naturally linked with M-Δ framework (a general scheme for analysis of uncertain systems) and it is applicable for describing feasible sets for linear matrix inequalities. The problem of robust synthesis for linear systems can be also treated via D-decomposition technique.
    46 schema:genre research_article
    47 schema:inLanguage en
    48 schema:isAccessibleForFree false
    49 schema:isPartOf Ndf7c568520514b31839b581419abbf77
    50 Nedc3d2ce36ca4457bbfcbfd23831addd
    51 sg:journal.1136242
    52 schema:name D-decomposition technique state-of-the-art
    53 schema:pagination 1991-2026
    54 schema:productId N8061bbfce37841f3a3bdf091c5ae311e
    55 Ndd9f839b927945cf8aa7265b95bb6497
    56 Nf94a0e7fb9bd4a37a7b46ffc6344b650
    57 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037368182
    58 https://doi.org/10.1134/s0005117908120011
    59 schema:sdDatePublished 2019-04-10T18:31
    60 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    61 schema:sdPublisher N6da3c03aeda54e6396915c346d8b2b6c
    62 schema:url http://link.springer.com/10.1134/S0005117908120011
    63 sgo:license sg:explorer/license/
    64 sgo:sdDataset articles
    65 rdf:type schema:ScholarlyArticle
    66 N6da3c03aeda54e6396915c346d8b2b6c schema:name Springer Nature - SN SciGraph project
    67 rdf:type schema:Organization
    68 N75a5a6ae95ea48cea9c1b636fe702a38 rdf:first sg:person.016040151431.52
    69 rdf:rest rdf:nil
    70 N78e84ee374344e48a2ae1dfa6d166fde rdf:first sg:person.015115716271.71
    71 rdf:rest N75a5a6ae95ea48cea9c1b636fe702a38
    72 N8061bbfce37841f3a3bdf091c5ae311e schema:name readcube_id
    73 schema:value b201c42d21bdce46681c1f92c330952c3802218986e7a5b39ddcb80ed47a06b0
    74 rdf:type schema:PropertyValue
    75 Nb76b77b8ea1b4bc58984dd3779861244 rdf:first sg:person.013764154021.72
    76 rdf:rest N78e84ee374344e48a2ae1dfa6d166fde
    77 Ndd9f839b927945cf8aa7265b95bb6497 schema:name doi
    78 schema:value 10.1134/s0005117908120011
    79 rdf:type schema:PropertyValue
    80 Ndf7c568520514b31839b581419abbf77 schema:issueNumber 12
    81 rdf:type schema:PublicationIssue
    82 Nedc3d2ce36ca4457bbfcbfd23831addd schema:volumeNumber 69
    83 rdf:type schema:PublicationVolume
    84 Nf94a0e7fb9bd4a37a7b46ffc6344b650 schema:name dimensions_id
    85 schema:value pub.1037368182
    86 rdf:type schema:PropertyValue
    87 anzsrc-for:01 schema:inDefinedTermSet anzsrc-for:
    88 schema:name Mathematical Sciences
    89 rdf:type schema:DefinedTerm
    90 anzsrc-for:0102 schema:inDefinedTermSet anzsrc-for:
    91 schema:name Applied Mathematics
    92 rdf:type schema:DefinedTerm
    93 sg:journal.1136242 schema:issn 0005-1179
    94 0005-2310
    95 schema:name Automation and Remote Control
    96 rdf:type schema:Periodical
    97 sg:person.013764154021.72 schema:affiliation https://www.grid.ac/institutes/grid.435155.3
    98 schema:familyName Gryazina
    99 schema:givenName E. N.
    100 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013764154021.72
    101 rdf:type schema:Person
    102 sg:person.015115716271.71 schema:affiliation https://www.grid.ac/institutes/grid.435155.3
    103 schema:familyName Polyak
    104 schema:givenName B. T.
    105 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015115716271.71
    106 rdf:type schema:Person
    107 sg:person.016040151431.52 schema:affiliation https://www.grid.ac/institutes/grid.435155.3
    108 schema:familyName Tremba
    109 schema:givenName A. A.
    110 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016040151431.52
    111 rdf:type schema:Person
    112 sg:pub.10.1007/3-540-36106-5_19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009091681
    113 https://doi.org/10.1007/3-540-36106-5_19
    114 rdf:type schema:CreativeWork
    115 sg:pub.10.1007/bfb0007371 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109719091
    116 https://doi.org/10.1007/bfb0007371
    117 rdf:type schema:CreativeWork
    118 sg:pub.10.1007/s101070050099 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003304155
    119 https://doi.org/10.1007/s101070050099
    120 rdf:type schema:CreativeWork
    121 https://doi.org/10.1002/(sici)1099-1239(200002)10:2<83::aid-rnc464>3.0.co;2-l schema:sameAs https://app.dimensions.ai/details/publication/pub.1040551529
    122 rdf:type schema:CreativeWork
    123 https://doi.org/10.1002/rnc.668 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049666170
    124 rdf:type schema:CreativeWork
    125 https://doi.org/10.1016/0005-1098(95)00024-q schema:sameAs https://app.dimensions.ai/details/publication/pub.1010205087
    126 rdf:type schema:CreativeWork
    127 https://doi.org/10.1016/0167-6911(86)90068-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002775975
    128 rdf:type schema:CreativeWork
    129 https://doi.org/10.1016/0167-6911(87)90102-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033833750
    130 rdf:type schema:CreativeWork
    131 https://doi.org/10.1016/0167-6911(94)90039-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017464242
    132 rdf:type schema:CreativeWork
    133 https://doi.org/10.1016/b978-0-08-042230-5.50016-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004886203
    134 rdf:type schema:CreativeWork
    135 https://doi.org/10.1016/j.automatica.2005.08.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022497504
    136 rdf:type schema:CreativeWork
    137 https://doi.org/10.1016/j.sysconle.2006.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037415169
    138 rdf:type schema:CreativeWork
    139 https://doi.org/10.1016/s0005-1098(02)00180-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009493218
    140 rdf:type schema:CreativeWork
    141 https://doi.org/10.1016/s0005-1098(03)00034-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036475805
    142 rdf:type schema:CreativeWork
    143 https://doi.org/10.1016/s0005-1098(03)00078-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016114657
    144 rdf:type schema:CreativeWork
    145 https://doi.org/10.1080/00207170412331332506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051166566
    146 rdf:type schema:CreativeWork
    147 https://doi.org/10.1080/00207178708933889 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026295509
    148 rdf:type schema:CreativeWork
    149 https://doi.org/10.1080/00207178808906250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050904444
    150 rdf:type schema:CreativeWork
    151 https://doi.org/10.1080/00207178908559699 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027604403
    152 rdf:type schema:CreativeWork
    153 https://doi.org/10.1098/rspa.1929.0143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021670838
    154 rdf:type schema:CreativeWork
    155 https://doi.org/10.1109/9.618239 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061245384
    156 rdf:type schema:CreativeWork
    157 https://doi.org/10.1109/9.661607 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061245547
    158 rdf:type schema:CreativeWork
    159 https://doi.org/10.1109/cdc.1993.325093 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086357267
    160 rdf:type schema:CreativeWork
    161 https://doi.org/10.1109/cdc.2004.1429653 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093789668
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1109/tac.1966.1098230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061469089
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1109/tac.2003.809768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061475267
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.1109/tac.2003.811268 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061475310
    168 rdf:type schema:CreativeWork
    169 https://doi.org/10.1109/tac.2004.825961 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061475599
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.1109/tai.1959.6371486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061487644
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1109/tai.1964.5407721 schema:sameAs https://app.dimensions.ai/details/publication/pub.1061488052
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1137/1.9780898718829 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098555827
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1137/1.9781611970777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098556247
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.1137/1.9781611970791 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098556249
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.1137/1136038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062868524
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.1137/s009753970544727x schema:sameAs https://app.dimensions.ai/details/publication/pub.1062879609
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.1137/s1052623400374756 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062883212
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.1287/opre.32.6.1296 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064729571
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.3182/20050703-6-cz-1902.00469 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003175409
    190 rdf:type schema:CreativeWork
    191 https://doi.org/10.3182/20080706-5-kr-1001.00064 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053434413
    192 rdf:type schema:CreativeWork
    193 https://www.grid.ac/institutes/grid.435155.3 schema:alternateName V. A. Trapeznikov Institute of Control Sciences
    194 schema:name Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia
    195 rdf:type schema:Organization
     




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


    ...