Parameter identification of discrete-time linear stochastic systems based on decentralized square-root information filtering

The paper proposes a new method for identifying parameters of discrete-time linear stochastic systems using decentralized square-root information filtering (DSRIF). The main contribution of the paper is the derivation of a new identification criterion formulated in terms of DSRIF outputs, such as sq...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Cybernetics and physics číslo Volume 14, 2025 Number 2; s. 191 - 199
Hlavní autoři: Tsyganov, Andrey, Tsyganova, Julia
Médium: Journal Article
Jazyk:angličtina
Vydáno: 30.09.2025
ISSN:2223-7038, 2226-4116
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract The paper proposes a new method for identifying parameters of discrete-time linear stochastic systems using decentralized square-root information filtering (DSRIF). The main contribution of the paper is the derivation of a new identification criterion formulated in terms of DSRIF outputs, such as square roots of information matrices and corresponding estimates of information vectors. An algorithm for its computation is also provided, which uses J-orthogonal transformations at the communication and assimilation stage for updating filter quantities. The method is validated through a numerical example of circular motion tracking with various configurations of measurement models. Simulations show accurate parameter identification, with improved precision as the number of sensors increases, especially when using sensors measuring the full state vector. This work establishes a unified framework for decentralized square-root information filtering and parameter identification, suitable for real-life applications in fault-tolerant control, environmental monitoring, and adaptive signal processing.
AbstractList The paper proposes a new method for identifying parameters of discrete-time linear stochastic systems using decentralized square-root information filtering (DSRIF). The main contribution of the paper is the derivation of a new identification criterion formulated in terms of DSRIF outputs, such as square roots of information matrices and corresponding estimates of information vectors. An algorithm for its computation is also provided, which uses J-orthogonal transformations at the communication and assimilation stage for updating filter quantities. The method is validated through a numerical example of circular motion tracking with various configurations of measurement models. Simulations show accurate parameter identification, with improved precision as the number of sensors increases, especially when using sensors measuring the full state vector. This work establishes a unified framework for decentralized square-root information filtering and parameter identification, suitable for real-life applications in fault-tolerant control, environmental monitoring, and adaptive signal processing.
Author Tsyganov, Andrey
Tsyganova, Julia
Author_xml – sequence: 1
  givenname: Andrey
  surname: Tsyganov
  fullname: Tsyganov, Andrey
  organization: Faculty of Mathematics, Physics and Technology Education, Ulyanovsk State Pedagogical University, Russian Federation
– sequence: 2
  givenname: Julia
  surname: Tsyganova
  fullname: Tsyganova, Julia
  organization: Institute of Data Science and Artificial intelligence, Innopolis University, Russian Federation
BookMark eNo9kEtLAzEUhYNUsNb-hyzcRvNsJuBGilqhoAtdh0weGpiZaBIXFX-8aSsuDvdyD_cc-M7BbEqTB-CS4CsmuMTXlNIV4oSsEMVUIMIRRUSRJnUC5v_u7LAzJDHrzsCylNhjgSXDQqg5-Hk22Yy--gyj81ONIVpTY5pgCtDFYnPzUI2jh0OcvMmw1GTfTanRwrIr1Y8F9qZ4B9uP87ZlZDPE73Yon18me5RTqjBOIeXxmBzi0Pri9HYBToMZil_-zQV4vb97WW_Q9unhcX27RZZIpZCxpJfWCksMk0oyhpVyasUCEdIpL3sVaGdNoDY4gh3vuBNcYU4Nx75zlC3AzTHX5lRK9kF_5DiavNME6wNMvcel97j0HqYmXFPdYDYp9gtgA23X
ContentType Journal Article
DBID AAYXX
CITATION
DOI 10.35470/2226-4116-2025-14-2-191-199
DatabaseName CrossRef
DatabaseTitle CrossRef
DatabaseTitleList CrossRef
DeliveryMethod fulltext_linktorsrc
Discipline Physics
EISSN 2226-4116
EndPage 199
ExternalDocumentID 10_35470_2226_4116_2025_14_2_191_199
GroupedDBID 5VS
642
AAYXX
ADBBV
ALMA_UNASSIGNED_HOLDINGS
BCNDV
CITATION
GROUPED_DOAJ
KQ8
OK1
ID FETCH-LOGICAL-c1799-ac1b7cc5c1a379733099d963f157d9e7b9f28caf2cfd10d484d549042a40e8d23
ISSN 2223-7038
IngestDate Sat Nov 29 07:25:53 EST 2025
IsDoiOpenAccess false
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue Volume 14, 2025 Number 2
Language English
LinkModel OpenURL
MergedId FETCHMERGED-LOGICAL-c1799-ac1b7cc5c1a379733099d963f157d9e7b9f28caf2cfd10d484d549042a40e8d23
OpenAccessLink http://lib.physcon.ru/file?id=23b89d45e950
PageCount 9
ParticipantIDs crossref_primary_10_35470_2226_4116_2025_14_2_191_199
PublicationCentury 2000
PublicationDate 2025-9-30
PublicationDateYYYYMMDD 2025-09-30
PublicationDate_xml – month: 09
  year: 2025
  text: 2025-9-30
  day: 30
PublicationDecade 2020
PublicationTitle Cybernetics and physics
PublicationYear 2025
SSID ssib050730559
ssj0001258398
Score 2.30498
Snippet The paper proposes a new method for identifying parameters of discrete-time linear stochastic systems using decentralized square-root information filtering...
SourceID crossref
SourceType Index Database
StartPage 191
Title Parameter identification of discrete-time linear stochastic systems based on decentralized square-root information filtering
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
journalDatabaseRights – providerCode: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 2226-4116
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0001258398
  issn: 2223-7038
  databaseCode: DOA
  dateStart: 20120101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVHPJ
  databaseName: ROAD: Directory of Open Access Scholarly Resources
  customDbUrl:
  eissn: 2226-4116
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssib050730559
  issn: 2223-7038
  databaseCode: M~E
  dateStart: 20110101
  isFulltext: true
  titleUrlDefault: https://road.issn.org
  providerName: ISSN International Centre
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lj9MwELbK8hAXxFM8Vz7sLbJoEntjH9FqEQeoeiirvUWOH1AJpUtbqi1C_C5-HjN2nE17QAsSh0aVI3-1Ml9nxs48CDnywmjTyIbJprGMF96xxnPDpNfOSyz_ElonnL2vJhN5fq6mo9GvlAuz-VK1rby8VBf_VdQwBsLG1Nm_EHcPCgPwHYQOVxA7XK8l-KnGeCusfTi3XShQ7xZiDu4S7jFsKZ-hh6mXGbh_5rPGes1dXedVhrbN4nsE67rozfl3GFh9BUI5Bs42Nhbo8x6xuNM6lDQcuron28YtW9eXgY5nKL0LP1ttP-l2semjKrf7d3TK39bDo4lCpDiKpMHQ92CgUqKCdWnsmPE8Jlh25DoLijjLOeIiUDYJ7VCyYqBa89jVq7PSeWyrtG8ASsErDJnsf4WFdeWcFQwAWDdtt-72nj3soxRhfxTwakSrEa1GNNgt1UUNaPBRN8jNohIK9emHn6dJkwlUnOl9bzztE-CJhvaI6ZncIUdpwa__sNyBvzRwfGb3yb1ux0LfRKY9ICPXPiS3p1Gaj8iPnm90l2904ekO32jkG73iG-34RgPfKMzZ4Rsd8I0O-EZ7vj0mH9-ezk7esa6lBzNYepBpkzeVMcLkuqxUVZawQbFgA3wuKqtc1ShfSKN9YbzNx5ZLbgVXYFg0Hztpi_IJOWgXrXtKKIZMlEq40knHG-l0KTyAgfJR8li48TMi0oOrL2Lllvo6En3-j_NekLtX_4GX5GC9_OZekVtms56vlofhrOcwkOQ34y2VZg
linkProvider ISSN International Centre
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=Parameter+identification+of+discrete-time+linear+stochastic+systems+based+on+decentralized+square-root+information+filtering&rft.jtitle=Cybernetics+and+physics&rft.au=Tsyganov%2C+Andrey&rft.au=Tsyganova%2C+Julia&rft.date=2025-09-30&rft.issn=2223-7038&rft.eissn=2226-4116&rft.issue=Volume+14%2C+2025+Number+2&rft.spage=191&rft.epage=199&rft_id=info:doi/10.35470%2F2226-4116-2025-14-2-191-199&rft.externalDBID=n%2Fa&rft.externalDocID=10_35470_2226_4116_2025_14_2_191_199
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2223-7038&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2223-7038&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2223-7038&client=summon