Ontology type: schema:ScholarlyArticle
2014-10
AUTHORSV. M. Revathi, P. Balasubramaniam, Ju H. Park, Tae H. Lee
ABSTRACTThis paper deals with the problem of H∞ filtering for sample data systems that possess random jumping parameters described by a finite-state Markov process with stochastic sampling. Multiple stochastic sampling periods are considered in which each sampling period is assumed to be time varying that switches between two different values in a random way with given probability. The aim of this paper is to design a filter such that the filtering error system is stochastically stable with a prescribed H∞ disturbance attenuation level. Sufficient conditions for the existence of H∞ filters are expressed in terms of linear matrix inequalities (LMIs), which can be solved by using Matlab LMI toolbox. Numerical examples are given to illustrate the effectiveness of the proposed result including a realistic Transmission Control Protocol network model. More... »
PAGES813-830
http://scigraph.springernature.com/pub.10.1007/s11071-014-1479-x
DOIhttp://dx.doi.org/10.1007/s11071-014-1479-x
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1006828610
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/2008/0104",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Statistics",
"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": "Gandhigram Rural Institute",
"id": "https://www.grid.ac/institutes/grid.444423.1",
"name": [
"Department of Mathematics, Gandhigram Rural Institute - Deemed University, 624 302, Gandhigram, Tamil Nadu, India"
],
"type": "Organization"
},
"familyName": "Revathi",
"givenName": "V. M.",
"id": "sg:person.016172727155.21",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016172727155.21"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Gandhigram Rural Institute",
"id": "https://www.grid.ac/institutes/grid.444423.1",
"name": [
"Department of Mathematics, Gandhigram Rural Institute - Deemed University, 624 302, Gandhigram, Tamil Nadu, India"
],
"type": "Organization"
},
"familyName": "Balasubramaniam",
"givenName": "P.",
"id": "sg:person.01131002504.60",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01131002504.60"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Yeungnam University",
"id": "https://www.grid.ac/institutes/grid.413028.c",
"name": [
"Nonlinear Dynamics Group, Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, 712-749, Kyongsan, Republic of Korea"
],
"type": "Organization"
},
"familyName": "Park",
"givenName": "Ju H.",
"id": "sg:person.07705373347.23",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07705373347.23"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Yeungnam University",
"id": "https://www.grid.ac/institutes/grid.413028.c",
"name": [
"Nonlinear Dynamics Group, Department of Electrical Engineering, Yeungnam University, 280 Daehak-Ro, 712-749, Kyongsan, Republic of Korea"
],
"type": "Organization"
},
"familyName": "Lee",
"givenName": "Tae H.",
"id": "sg:person.012713357021.41",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012713357021.41"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1080/00207721.2010.550401",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1000097396"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0167-6911(91)90033-b",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002424861"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0167-6911(91)90033-b",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002424861"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jfranklin.2011.11.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1004849178"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/00207179208934306",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006597531"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/00207179.2012.720034",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008394484"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/00207721.2012.659704",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008891217"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.automatica.2006.05.029",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1009162215"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11071-013-0870-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1012435749",
"https://doi.org/10.1007/s11071-013-0870-3"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s00034-013-9643-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1013628260",
"https://doi.org/10.1007/s00034-013-9643-y"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11071-012-0544-6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018409670",
"https://doi.org/10.1007/s11071-012-0544-6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/00207729708929460",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1018757457"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11071-008-9433-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1020652979",
"https://doi.org/10.1007/s11071-008-9433-4"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.automatica.2009.11.017",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021788695"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.jmaa.2005.08.019",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1023133965"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/00207729608929346",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024248692"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/002071799220182",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1026098741"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/00207720701645362",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1027762860"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/00207170802085003",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028482227"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11071-013-0949-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031236773",
"https://doi.org/10.1007/s11071-013-0949-x"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.automatica.2010.10.014",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1032303085"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neunet.2013.05.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034937718"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.dsp.2012.08.009",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036713392"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.amc.2011.05.029",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036726740"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11432-011-4472-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039162888",
"https://doi.org/10.1007/s11432-011-4472-8"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.sigpro.2011.02.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1039422382"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0005-1098(02)00248-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040241954"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0005-1098(02)00248-0",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040241954"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/00207720601014180",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1040919485"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0005-1098(01)00167-4",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041113489"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/s0005-1098(97)00084-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043673792"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.sysconle.2011.07.005",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1044489348"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11768-006-5305-y",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1046709581",
"https://doi.org/10.1007/s11768-006-5305-y"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.automatica.2006.11.024",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1047820073"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1080/002077200291028",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048313635"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.automatica.2009.03.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052690760"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1049/iet-cta.2007.0418",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056822626"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1049/iet-cta.2007.0418",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056822626"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1049/iet-cta.2011.0312",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056823370"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1049/ip-cta:20050178",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1056847572"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/9.701119",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061245652"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tcst.2009.2015653",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061572775"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/cdc.2000.914233",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094583338"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/pccon.2007.373059",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095744885"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1137/1.9781611970777",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1098556247"
],
"type": "CreativeWork"
}
],
"datePublished": "2014-10",
"datePublishedReg": "2014-10-01",
"description": "This paper deals with the problem of H\u221e filtering for sample data systems that possess random jumping parameters described by a finite-state Markov process with stochastic sampling. Multiple stochastic sampling periods are considered in which each sampling period is assumed to be time varying that switches between two different values in a random way with given probability. The aim of this paper is to design a filter such that the filtering error system is stochastically stable with a prescribed H\u221e disturbance attenuation level. Sufficient conditions for the existence of H\u221e filters are expressed in terms of linear matrix inequalities (LMIs), which can be solved by using Matlab LMI toolbox. Numerical examples are given to illustrate the effectiveness of the proposed result including a realistic Transmission Control Protocol network model.",
"genre": "research_article",
"id": "sg:pub.10.1007/s11071-014-1479-x",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isFundedItemOf": [
{
"id": "sg:grant.7431318",
"type": "MonetaryGrant"
},
{
"id": "sg:grant.7480920",
"type": "MonetaryGrant"
}
],
"isPartOf": [
{
"id": "sg:journal.1040905",
"issn": [
"0924-090X",
"1573-269X"
],
"name": "Nonlinear Dynamics",
"type": "Periodical"
},
{
"issueNumber": "2",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "78"
}
],
"name": "H\u221e filtering for sample data systems with stochastic sampling and Markovian jumping parameters",
"pagination": "813-830",
"productId": [
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"20871b0ade6d0ed9fbe1b273b418029fcd37af24f872818d21e095b01d206b6a"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/s11071-014-1479-x"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1006828610"
]
}
],
"sameAs": [
"https://doi.org/10.1007/s11071-014-1479-x",
"https://app.dimensions.ai/details/publication/pub.1006828610"
],
"sdDataset": "articles",
"sdDatePublished": "2019-04-10T16:41",
"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_8669_00000510.jsonl",
"type": "ScholarlyArticle",
"url": "http://link.springer.com/10.1007%2Fs11071-014-1479-x"
}
]Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1007/s11071-014-1479-x'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11071-014-1479-x'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11071-014-1479-x'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11071-014-1479-x'
This table displays all metadata directly associated to this object as RDF triples.
222 TRIPLES
21 PREDICATES
69 URIs
19 LITERALS
7 BLANK NODES