Recursive Bayesian Algorithm for Identification of Systems with Non-uniformly Sampled Input Data

To identify systems with non-uniformly sampled input data, a recursive Bayesian identification algorithm with covariance resetting is proposed. Using estimated noise transfer function as a dynamic filter, the system with colored noise is transformed into the system with white noise. In order to impr...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Machine intelligence research (Print) Ročník 15; číslo 3; s. 335 - 344
Hlavní autoři: Jing, Shao-Xue, Pan, Tian-Hong, Li, Zheng-Ming
Médium: Journal Article
Jazyk:angličtina
Vydáno: Beijing Springer Nature B.V 01.06.2018
Témata:
Algorithms
Automation
Bayesian analysis
Covariance
Estimates
Identification
Kalman filters
Parameter estimation
Transfer functions
White noise
ISSN:2153-182X, 2153-1838
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract To identify systems with non-uniformly sampled input data, a recursive Bayesian identification algorithm with covariance resetting is proposed. Using estimated noise transfer function as a dynamic filter, the system with colored noise is transformed into the system with white noise. In order to improve estimates, the estimated noise variance is employed as a weighting factor in the algorithm. Meanwhile, a modified covariance resetting method is also integrated in the proposed algorithm to increase the convergence rate. A numerical example and an industrial example validate the proposed algorithm.
AbstractList To identify systems with non-uniformly sampled input data, a recursive Bayesian identification algorithm with covariance resetting is proposed. Using estimated noise transfer function as a dynamic filter, the system with colored noise is transformed into the system with white noise. In order to improve estimates, the estimated noise variance is employed as a weighting factor in the algorithm. Meanwhile, a modified covariance resetting method is also integrated in the proposed algorithm to increase the convergence rate. A numerical example and an industrial example validate the proposed algorithm.
Author Li, Zheng-Ming
Pan, Tian-Hong
Jing, Shao-Xue
Author_xml – sequence: 1
  givenname: Shao-Xue
  surname: Jing
  fullname: Jing, Shao-Xue
– sequence: 2
  givenname: Tian-Hong
  surname: Pan
  fullname: Pan, Tian-Hong
– sequence: 3
  givenname: Zheng-Ming
  surname: Li
  fullname: Li, Zheng-Ming
BookMark eNo9jb1OwzAURi1UJErpA7BZYjZc-yZxPJbyF6kCiXZgK65jQ6rELrEDKk9PJRDT-Yaj75ySkQ_eEnLO4ZIDyKvIeYHIgEvGQSL7PiJjwXNkvMRy9L_FywmZxrgFAEQBhcIxeX22Zuhj82nptd7b2GhPZ-1b6Jv03lEXelrV1qfGNUanJngaHF3uY7JdpF8Hhz4GzwbfHMyu3dOl7natrWnld0OiNzrpM3LsdBvt9I8Tsrq7Xc0f2OLpvprPFswgLxLLJGgBNQdna2Ey3CjppKv1RuYq08aZgteOOwOZsBsAC6qQqGolcq2kyHFCLn5vd334GGxM620Yen8oroXiZVFigQp_ADBIWh0
CitedBy_id crossref_primary_10_1007_s11633_018_1161_8
crossref_primary_10_1007_s11633_017_1106_7
crossref_primary_10_1016_j_jelechem_2022_116011
crossref_primary_10_1007_s11277_021_08954_7
ContentType Journal Article
Copyright Institute of Automation, Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2017.
Copyright_xml – notice: Institute of Automation, Chinese Academy of Sciences and Springer-Verlag GmbH Germany, part of Springer Nature 2017.
DBID 8FE
8FG
AFKRA
ARAPS
AZQEC
BENPR
BGLVJ
CCPQU
DWQXO
GNUQQ
HCIFZ
JQ2
K7-
P5Z
P62
PHGZM
PHGZT
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
DOI 10.1007/s11633-017-1073-z
DatabaseName ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Central UK/Ireland
Advanced Technologies & Computer Science Collection
ProQuest Central Essentials
ProQuest Central
Technology collection
ProQuest One Community College
ProQuest Central
ProQuest Central Student
SciTech Premium Collection
ProQuest Computer Science Collection
Computer Science Database
Advanced Technologies & Aerospace Database
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
DatabaseTitle Advanced Technologies & Aerospace Collection
Computer Science Database
ProQuest Central Student
Technology Collection
ProQuest One Academic Middle East (New)
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
ProQuest Computer Science Collection
ProQuest One Academic Eastern Edition
SciTech Premium Collection
ProQuest One Community College
ProQuest Technology Collection
ProQuest SciTech Collection
ProQuest Central
Advanced Technologies & Aerospace Database
ProQuest One Applied & Life Sciences
ProQuest One Academic UKI Edition
ProQuest Central Korea
ProQuest Central (New)
ProQuest One Academic
ProQuest One Academic (New)
DatabaseTitleList Advanced Technologies & Aerospace Collection
Database_xml – sequence: 1
  dbid: P5Z
  name: Advanced Technologies & Aerospace Database
  url: https://search.proquest.com/hightechjournals
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
EISSN 2153-1838
EndPage 344
GroupedDBID 8FE
8FG
AFFHD
AFKRA
ALMA_UNASSIGNED_HOLDINGS
ARAPS
AZQEC
BENPR
BGLVJ
CCPQU
DWQXO
GNUQQ
HCIFZ
JQ2
K7-
P62
PHGZM
PHGZT
PKEHL
PQEST
PQGLB
PQQKQ
PQUKI
ID FETCH-LOGICAL-c316t-470a20d10fed2c43b97f7fdab7594acfc61df1fc042eb00e096739d925a97253
IEDL.DBID BENPR
ISICitedReferencesCount 5
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000435002700008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 2153-182X
IngestDate Fri Nov 07 23:41:42 EST 2025
IsPeerReviewed true
IsScholarly true
Issue 3
Language English
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c316t-470a20d10fed2c43b97f7fdab7594acfc61df1fc042eb00e096739d925a97253
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
PQID 2918683639
PQPubID 6623301
PageCount 10
ParticipantIDs proquest_journals_2918683639
PublicationCentury 2000
PublicationDate 20180601
PublicationDateYYYYMMDD 2018-06-01
PublicationDate_xml – month: 06
  year: 2018
  text: 20180601
  day: 01
PublicationDecade 2010
PublicationPlace Beijing
PublicationPlace_xml – name: Beijing
PublicationTitle Machine intelligence research (Print)
PublicationYear 2018
Publisher Springer Nature B.V
Publisher_xml – name: Springer Nature B.V
SSID ssj0003320693
Score 2.1284277
Snippet To identify systems with non-uniformly sampled input data, a recursive Bayesian identification algorithm with covariance resetting is proposed. Using estimated...
SourceID proquest
SourceType Aggregation Database
StartPage 335
SubjectTerms Algorithms
Automation
Bayesian analysis
Covariance
Estimates
Identification
Kalman filters
Parameter estimation
Transfer functions
White noise
Title Recursive Bayesian Algorithm for Identification of Systems with Non-uniformly Sampled Input Data
URI https://www.proquest.com/docview/2918683639
Volume 15
WOSCitedRecordID wos000435002700008&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVPQU
  databaseName: Advanced Technologies & Aerospace Database
  customDbUrl:
  eissn: 2153-1838
  dateEnd: 20241213
  omitProxy: false
  ssIdentifier: ssj0003320693
  issn: 2153-182X
  databaseCode: P5Z
  dateStart: 20041001
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/hightechjournals
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Computer Science Database
  customDbUrl:
  eissn: 2153-1838
  dateEnd: 20241213
  omitProxy: false
  ssIdentifier: ssj0003320693
  issn: 2153-182X
  databaseCode: K7-
  dateStart: 20041001
  isFulltext: true
  titleUrlDefault: http://search.proquest.com/compscijour
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl:
  eissn: 2153-1838
  dateEnd: 20241213
  omitProxy: false
  ssIdentifier: ssj0003320693
  issn: 2153-182X
  databaseCode: BENPR
  dateStart: 20041001
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV07T8MwELZoy8DCQ4B4FOSB1SKJnTieUAutQKCoKh0qluInILVJaVOk8uuxUxcGJBYWL5Yly4-7z5_vvgPgIo20kUanCJNEIiJTgkQqCaKS85BaB29EJZn_QLMsHQ5ZzxNucx9WubaJlaFWhXQc-WXEnLA7tg71avqOXNUo97vqS2jUQMMpldlz3mh3sl7_m2XBOAqSSnnXujaMLJgerr82q_w5i0ZcOBG11ohi9PnLIFdeprvz3_ntgm2PL2FrdSD2wIbO98Fz37HqLlAdtvlSu7xJ2Bq_2OHl6wRa2ApX-brGE3iwMNBLmUNH1MKsyNEid0lck_ESPnInKazgXT5dlPCGl_wADLqdwfUt8qUVkMRhUiJCAx4FKgyMVpEkWDBqqFFc0JgRLo1MQmVCI-2VdsWFtH3oUMwUi2LOaBTjQ1DPi1wfASgFZZpgSQiRxG6zoDjUgrBQJKkQih2D5nq9Rv56zEc_i3Xyd_cp2LIIJV3FZjVBvZwt9BnYlB_l23x27nf7HNTuKbJtL376AsmMt5w
linkProvider ProQuest
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V27TsMwFLWqFgkWHgLEo4AHGC0S243jAaGWgqhaIgQdugXbsQGppNCmoPJP_CN2msCAxMbAnCX2Pbn35L4OAIch1kYZHSJCA4WoCimSoaKIKSF8ZgO8kfnK_B6LonAw4NcV8FHOwri2ytIn5o46GSmXIz_G3C12Jzagnj6_IKca5aqrpYTGHBZdPXuzv2yTk07b2vcI44vz_tklKlQFkCJ-kCHKPIG9xPeMTrCiRHJmmEmEZA1OhTIq8BPjG2XR7HR1tOX4jPCE44bgDDuRCOvxa9SerVEFtdZ5dH3zldQhBHtBvujXRlKCLHcflJXUfFzPkh_XvcSs82MEvf_w_3lQu1j5Z9exCpYL9gybc7ivgYpO18HdjasZuDZ82BIz7aZCYXN4b982e3iClpTD-TSyKdKTcGRgsagdujQ0jEYpmqZuRO1pOIO3wi1MTmAnfZ5msC0ysQH6f3GmTVBNR6neAlBJxjUlilKqqAWxZMTXknJfBqGUCd8G9dI8cfHxT-Jv2-z8_vgALF72r3pxrxN1d8GS5WLhvAutDqrZeKr3wIJ6zR4n4_0CaBDEf2zLT0MnElM
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Recursive+Bayesian+Algorithm+for+Identification+of+Systems+with+Non-uniformly+Sampled+Input+Data&rft.jtitle=Machine+intelligence+research+%28Print%29&rft.au=Jing%2C+Shao-Xue&rft.au=Pan%2C+Tian-Hong&rft.au=Li%2C+Zheng-Ming&rft.date=2018-06-01&rft.pub=Springer+Nature+B.V&rft.issn=2153-182X&rft.eissn=2153-1838&rft.volume=15&rft.issue=3&rft.spage=335&rft.epage=344&rft_id=info:doi/10.1007%2Fs11633-017-1073-z
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2153-182X&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2153-182X&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2153-182X&client=summon