Recursive versus nonrecursive Richardson algorithms: systematic overview, unified frameworks and application to electric grid power quality monitoring

Sufficiently accurate, fast and computationally efficient solution of the system of linear equations is required in many estimation problems. Richardson iteration is one of the main solvers for linear equations, which provides optimization possibilities for time critical and accuracy critical applic...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:Automatika Ročník 63; číslo 2; s. 328 - 337
Hlavní autor: Stotsky, Alexander
Médium: Journal Article Paper
Jazyk:angličtina
Vydáno: Ljubljana Taylor & Francis 03.04.2022
Taylor & Francis Ltd
KoREMA - Hrvatsko društvo za komunikacije,računarstvo, elektroniku, mjerenja i automatiku
Taylor & Francis Group
Témata:
Algorithms
Automation & Control Systems
Computational efficiency
Computing time
Convergence
Decomposition
Electric power grids
Electric power systems
Engineering
frequency
inverses
iterative method
Iterative methods
Linear equations
matrix
Monitoring
Newton-Schulz matrix inversion algorithms
Optimization
Parameter estimation
power
power quality monitoring
quality monitoring
Richardson algorithms
Robotics and automation
Robotik och automation
ISSN:0005-1144, 1848-3380
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Abstract Sufficiently accurate, fast and computationally efficient solution of the system of linear equations is required in many estimation problems. Richardson iteration is one of the main solvers for linear equations, which provides optimization possibilities for time critical and accuracy critical applications. Convergence rate improvement and reduction of the computational complexity of the Richardson iteration are the most important problems in the area. The introduction of Newton-Schulz iterations is the efficient way for convergence rate improvement and the paper starts with systematic overview of the high-order Newton-Schulz matrix inversion algorithms. In addition, the unified framework for recursive computationally efficient convergence accelerators and error models for a number of combinations of Richardson and Newton-Schulz iterations is developed. A new nonrecursive parameter estimation concept is introduced and compared in this paper with recursive estimation. Recursive and nonrecursive Richardson algorithms together with the standard LU decomposition method were applied to the electric grid power quality monitoring problem. The algorithms were tested for the detection of the sag and swell signatures in the voltage and current signals on real data in three-phase power system. Nonrecursive Richardson algorithms which save close to half of the computational time compared to LU decomposition method were recommended for power quality monitoring applications.
AbstractList Sufficiently accurate, fast and computationally efficient solution of the system of linear equations is required in many estimation problems. Richardson iteration is one of the main solvers for linear equations, which provides optimization possibilities for time critical and accuracy critical applications. Convergence rate improvement and reduction of the computational complexity of the Richardson iteration are the most important problems in the area. The introduction of Newton–Schulz iterations is the efficient way for convergence rate improvement and the paper starts with systematic overview of the high-order Newton–Schulz matrix inversion algorithms. In addition, the unified framework for recursive computationally efficient convergence accelerators and error models for a number of combinations of Richardson and Newton–Schulz iterations is developed. A new nonrecursive parameter estimation concept is introduced and compared in this paper with recursive estimation. Recursive and nonrecursive Richardson algorithms together with the standard LU decomposition method were applied to the electric grid power quality monitoring problem. The algorithms were tested for the detection of the sag and swell signatures in the voltage and current signals on real data in three-phase power system. Nonrecursive Richardson algorithms which save close to half of the computational time compared to LU decomposition method were recommended for power quality monitoring applications.
Author Stotsky, Alexander
Author_xml – sequence: 1
  givenname: Alexander
  surname: Stotsky
  fullname: Stotsky, Alexander
  email: alexander.stotsky@chalmers.se, alexander.stotsky@telia.com
  organization: Chalmers University and University of Gothenburg
BackLink https://gup.ub.gu.se/publication/314253$$DView record from Swedish Publication Index (Göteborgs universitet)
https://research.chalmers.se/publication/528911$$DView record from Swedish Publication Index (Chalmers tekniska högskola)
BookMark eNqFkt1u1DAQhSNUJNrCIyBZ4pYUO3YcB25AVYFKlZAKXFsTZ5z1NolTO9nVvgjPi7dbiooE3PhndM5nz-icZEejHzHLXjJ6xqiibyilJWNCnBW0KNLC61rVT7JjpoTKOVf0KDvea_K96Fl2EuM63SSX9Dj7cY1mCdFtkGwwxCWSBA8PtWtnVhDa6EcCfeeDm1dDfEviLs44wOwM8cm2cbh9TZbRWYctsQEG3PpwEwmMLYFp6p1J2sSYPcEezRySsQuuJZPfYiC3C_Ru3pHBj25Oj4zd8-yphT7ii_v9NPv-8eLb-ef86suny_MPV7mRlM854y2vrWKGczC1haaxpbEVow1SbFndSs64VSBRCW5k1dYVB2qFNC3Wwlp-ml0euK2HtZ6CGyDstAen7wo-dBpCarNHbYRRTVNJbCoQCgBKAbXiliE36TmZWF8PrLjFaWke0QJGhGBWOo2zH9KgdURdWQFMFkwXTFZaWCp0w0umIX275rxuy8Ykav5XardMOpW6ZU_jTBQl_61fBQM3j-SHSgwG01EXqhKqTPpXB_0U_O2CcdZrv4QxDV0XkgsphZL73sqDygQfY0D7AGZU70Oof4VQ70Oo70OYfO_-8Bk332VhDuD6_7rfH9xutD4MkELVt3qGXe9DStloXExt_xPxE1UM_Yg
CitedBy_id crossref_primary_10_1080_00051144_2025_2517431
crossref_primary_10_1007_s11265_024_01915_w
crossref_primary_10_1016_j_ifacol_2022_07_008
Cites_doi 10.1007/s00009-016-0833-2
10.1016/j.ifacol.2020.12.847
10.1002/zamm.19330130111
10.1137/1.9781611971484
10.1177/0959651814553964
10.1016/j.laa.2015.07.010
10.1214/aoms/1177731489
10.1007/s12190-018-01229-8
10.1002/zamm.19870670712
10.1002/047134608X.W1046
10.1007/s40313-018-0385-8
10.1016/0024-3795(91)90385-A
10.1007/s12190-013-0743-4
10.1016/j.egyr.2020.07.027
10.1007/BF02243566
10.1016/0022-247X(67)90036-4
10.1109/CDC.2015.7402847
10.1090/S0025-5718-66-99922-4
10.1109/TPWRD.2007.893185
ContentType Journal Article
Paper
Copyright 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2022
2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Copyright_xml – notice: 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group 2022
– notice: 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
DBID 0YH
AAYXX
CITATION
3V.
7SC
7XB
8FD
8FK
8G5
ABUWG
AFKRA
AZQEC
BENPR
CCPQU
DWQXO
GNUQQ
GUQSH
JQ2
L7M
L~C
L~D
M2O
MBDVC
PHGZM
PHGZT
PKEHL
PQEST
PQQKQ
PQUKI
PRINS
Q9U
VP8
ADTPV
AOWAS
F1U
ABBSD
D8T
F1S
ZZAVC
DOA
DOI 10.1080/00051144.2022.2039989
DatabaseName Taylor & Francis Open Access
CrossRef
ProQuest Central (Corporate)
Computer and Information Systems Abstracts
ProQuest Central (purchase pre-March 2016)
Technology Research Database
ProQuest Central (Alumni) (purchase pre-March 2016)
ProQuest Research Library
ProQuest Central (Alumni)
ProQuest Central UK/Ireland
ProQuest Central Essentials
ProQuest Central
ProQuest One
ProQuest Central
ProQuest Central Student
Research Library Prep
ProQuest Computer Science Collection
Advanced Technologies Database with Aerospace
Computer and Information Systems Abstracts – Academic
Computer and Information Systems Abstracts Professional
Research Library
Research Library (Corporate)
ProQuest Central Premium
ProQuest One Academic
ProQuest One Academic Middle East (New)
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Academic (retired)
ProQuest One Academic UKI Edition
ProQuest Central China
ProQuest Central Basic
Portal of Croatian Scientific and Professional Journals – HRČAK
SwePub
SwePub Articles
SWEPUB Göteborgs universitet
SWEPUB Chalmers tekniska högskola full text
SWEPUB Freely available online
SWEPUB Chalmers tekniska högskola
SwePub Articles full text
DOAJ Open Access Full Text
DatabaseTitle CrossRef
Research Library Prep
ProQuest Central Student
Technology Research Database
Computer and Information Systems Abstracts – Academic
ProQuest One Academic Middle East (New)
ProQuest Central Basic
ProQuest Central Essentials
ProQuest One Academic Eastern Edition
ProQuest Computer Science Collection
Computer and Information Systems Abstracts
ProQuest Central (Alumni Edition)
ProQuest One Community College
Research Library (Alumni Edition)
ProQuest Central China
Computer and Information Systems Abstracts Professional
ProQuest Central
ProQuest One Academic UKI Edition
ProQuest Central Korea
ProQuest Research Library
ProQuest Central (New)
ProQuest One Academic
Advanced Technologies Database with Aerospace
ProQuest One Academic (New)
ProQuest Central (Alumni)
DatabaseTitleList Research Library Prep
Database_xml – sequence: 1
  dbid: DOA
  name: DOAJ Directory of Open Access Journals
  url: https://www.doaj.org/
  sourceTypes: Open Website
– sequence: 2
  dbid: 0YH
  name: Taylor & Francis Open Access
  url: https://www.tandfonline.com
  sourceTypes: Publisher
– sequence: 3
  dbid: BENPR
  name: ProQuest Central
  url: https://www.proquest.com/central
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Engineering
EISSN 1848-3380
EndPage 337
ExternalDocumentID oai_doaj_org_article_c4c8bb76eb7a48aaa54a983f1e3cbe06
oai_research_chalmers_se_7f4a1621_2167_4f04_b351_ad639339d5bc
oai_gup_ub_gu_se_314253
oai_hrcak_srce_hr_287485
10_1080_00051144_2022_2039989
2039989
Genre Research Article
GroupedDBID .4S
.DC
0YH
2WC
8G5
ABUWG
ACGFS
ADBBV
AENEX
AFKRA
ALMA_UNASSIGNED_HOLDINGS
ARCSS
AZQEC
BCNDV
BENPR
BLEHA
BPHCQ
CCPQU
DWQXO
E3Z
EBS
EDO
EN8
EOJEC
GNUQQ
GROUPED_DOAJ
GUQSH
H13
I-F
KTTOD
M2O
M4Z
OBODZ
OK1
PHGZM
PHGZT
PQQKQ
PROAC
QZIEQ
TFW
TUS
AAYXX
AFFHD
CITATION
3V.
7SC
7XB
8FD
8FK
JQ2
L7M
L~C
L~D
MBDVC
PKEHL
PQEST
PQUKI
PRINS
Q9U
M~E
VP8
ADTPV
AOWAS
C1A
EJD
F1U
ABBSD
D8T
F1S
ZZAVC
ID FETCH-LOGICAL-c603t-13d39f81c33ac9fabbf5cf710be0ed19d6313f8a6e843c67d973a0f46cde94ff3
IEDL.DBID DOA
ISICitedReferencesCount 3
ISICitedReferencesURI http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000757633000001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN 0005-1144
IngestDate Fri Oct 03 12:53:21 EDT 2025
Wed Nov 05 04:13:58 EST 2025
Tue Nov 04 16:39:34 EST 2025
Tue Dec 20 04:10:50 EST 2022
Sun Nov 09 06:29:52 EST 2025
Tue Nov 18 22:16:07 EST 2025
Sat Nov 29 06:32:26 EST 2025
Mon Oct 20 23:47:20 EDT 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 2
Language English
License open-access: http://creativecommons.org/licenses/by/4.0/: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
openAccess
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c603t-13d39f81c33ac9fabbf5cf710be0ed19d6313f8a6e843c67d973a0f46cde94ff3
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
287485
OpenAccessLink https://doaj.org/article/c4c8bb76eb7a48aaa54a983f1e3cbe06
PQID 2634664866
PQPubID 3933318
PageCount 10
ParticipantIDs crossref_primary_10_1080_00051144_2022_2039989
crossref_citationtrail_10_1080_00051144_2022_2039989
doaj_primary_oai_doaj_org_article_c4c8bb76eb7a48aaa54a983f1e3cbe06
proquest_journals_2634664866
swepub_primary_oai_gup_ub_gu_se_314253
hrcak_primary_oai_hrcak_srce_hr_287485
swepub_primary_oai_research_chalmers_se_7f4a1621_2167_4f04_b351_ad639339d5bc
informaworld_taylorfrancis_310_1080_00051144_2022_2039989
PublicationCentury 2000
PublicationDate 2022-04-03
PublicationDateYYYYMMDD 2022-04-03
PublicationDate_xml – month: 04
  year: 2022
  text: 2022-04-03
  day: 03
PublicationDecade 2020
PublicationPlace Ljubljana
PublicationPlace_xml – name: Ljubljana
PublicationTitle Automatika
PublicationTitle_FL Automatika
PublicationYear 2022
Publisher Taylor & Francis
Taylor & Francis Ltd
KoREMA - Hrvatsko društvo za komunikacije,računarstvo, elektroniku, mjerenja i automatiku
Taylor & Francis Group
Publisher_xml – name: Taylor & Francis
– name: Taylor & Francis Ltd
– name: KoREMA - Hrvatsko društvo za komunikacije,računarstvo, elektroniku, mjerenja i automatiku
– name: Taylor & Francis Group
References CIT0010
CIT0012
Durand E. (CIT0016) 1972; 2
Srivastava S (CIT0007) 2017; 14
CIT0014
CIT0018
CIT0017
Liu Y (CIT0024) 2021; 70
Demidovich B (CIT0011) 1963
CIT0019
CIT0020
CIT0001
CIT0023
CIT0022
Stickel E. (CIT0015) 1987; 67
Stotsky A. (CIT0021) 2016; 230
Isaacson E (CIT0013) 1966
CIT0003
CIT0025
CIT0002
CIT0005
Artidiello S (CIT0027) 2020; 8
CIT0004
CIT0026
CIT0006
CIT0028
CIT0009
CIT0008
References_xml – volume: 14
  start-page: 1
  year: 2017
  ident: CIT0007
  publication-title: Mediterr J Math
  doi: 10.1007/s00009-016-0833-2
– volume: 2
  volume-title: Solutions Numeriques des Equations Algebriques
  year: 1972
  ident: CIT0016
– ident: CIT0017
– ident: CIT0008
  doi: 10.1016/j.ifacol.2020.12.847
– ident: CIT0009
  doi: 10.1002/zamm.19330130111
– ident: CIT0001
  doi: 10.1137/1.9781611971484
– ident: CIT0006
  doi: 10.1177/0959651814553964
– volume-title: Basics of numerical mathematics
  year: 1963
  ident: CIT0011
– ident: CIT0020
  doi: 10.1016/j.laa.2015.07.010
– ident: CIT0010
  doi: 10.1214/aoms/1177731489
– ident: CIT0004
  doi: 10.1007/s12190-018-01229-8
– volume: 67
  start-page: 331
  year: 1987
  ident: CIT0015
  publication-title: Z Angew Math Mech
  doi: 10.1002/zamm.19870670712
– volume: 70
  start-page: 3000814
  year: 2021
  ident: CIT0024
  publication-title: IEEE Trans Instrum Meas
– ident: CIT0002
  doi: 10.1002/047134608X.W1046
– ident: CIT0028
  doi: 10.1007/s40313-018-0385-8
– volume: 8
  start-page: 1
  issue: 2
  year: 2020
  ident: CIT0027
  publication-title: Mathematics
– ident: CIT0018
  doi: 10.1016/0024-3795(91)90385-A
– volume-title: Analysis of numerical methods
  year: 1966
  ident: CIT0013
– ident: CIT0026
– ident: CIT0019
  doi: 10.1007/s12190-013-0743-4
– ident: CIT0023
  doi: 10.1016/j.egyr.2020.07.027
– ident: CIT0022
– ident: CIT0005
  doi: 10.1007/BF02243566
– ident: CIT0014
  doi: 10.1016/0022-247X(67)90036-4
– volume: 230
  start-page: 1164
  issue: 10
  year: 2016
  ident: CIT0021
  publication-title: J Syst Control Eng
– ident: CIT0003
  doi: 10.1109/CDC.2015.7402847
– ident: CIT0012
  doi: 10.1090/S0025-5718-66-99922-4
– ident: CIT0025
  doi: 10.1109/TPWRD.2007.893185
SSID ssj0056360
Score 2.266066
Snippet Sufficiently accurate, fast and computationally efficient solution of the system of linear equations is required in many estimation problems. Richardson...
SourceID doaj
swepub
hrcak
proquest
crossref
informaworld
SourceType Open Website
Open Access Repository
Aggregation Database
Enrichment Source
Index Database
Publisher
StartPage 328
SubjectTerms Algorithms
Automation & Control Systems
Computational efficiency
Computing time
Convergence
Decomposition
Electric power grids
Electric power systems
Engineering
frequency
inverses
iterative method
Iterative methods
Linear equations
matrix
Monitoring
Newton-Schulz matrix inversion algorithms
Optimization
Parameter estimation
power
power quality monitoring
quality monitoring
Richardson algorithms
Robotics and automation
Robotik och automation
SummonAdditionalLinks – databaseName: ProQuest Central
  dbid: BENPR
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Nj9MwELWgywEOfCMCC_IBcSKQZGzH5oJYtCsOq2pVgbQ3y3HstmK3LUmLxB_h9-JJnG6LEHvgFo1iZ6w8jyfO-D1CXklw1tS2TC2ULmXK8FR5KVJuITeFBwum45k9LcdjeX6uzuKGWxvLKoeY2AXqemlxj_xdIQCZ0KUQH1bfU1SNwr-rUULjJjlAprJiRA6OjsdnkyEWc2TD6hNgnobMnw1neJBdG_EYTOEbscATWWGlRq33ndWpI_EPSeussebbH1Sm-wnpLslotzCd3PvfId0nd2NKSj_2GHpAbsyah-TODlHhI_JrgtvyWOlOsYxj09LFMuBusE22h7eouZiGR6xnl-17esUSTbFQFL15QzeLuQ9pL_VDVVhLzaKmOz_S6XpJe3We0HDazGu6Qik32p___EkvuzCEjj0mX0-Ov3z6nEZFh9SKDFD3voYAhdwCGKu8qSrPrQ9JTuUyV-eqFpCDl0Y4ycCKslYlmMwzYWunmPfwhIzC-NxTQgvMLJSTzkvPFHgDHMn2ITOC18pnCWHDm9Q20p2j6saFzresqD0ANAJARwAk5O222arn-7iuwRHCZHsz0nV3hmUz1XH2a8usrKpSuKo0TBpjODNKgs8d2DB0kZDXHcj2euktbWNduNSoSyB5QtQuCvW629bxvQaLhms8PRxgqGOgavUVBoMPPYz3nJhuVjqYphvdutB_iPCQkNO_3Bi5qWY6AA6Ff1psUHpmclHkushFqZnPmK6A59qEF60AVM0r--zfbj0nt3EQXbEUHJLRutm4F-SW_bGet83LON9_A7nAX5s
  priority: 102
  providerName: ProQuest
– databaseName: Taylor & Francis
  dbid: TFW
  link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Nb9QwELVQxQEOfCO2FOQD4kRQnLEdmxsgVhyqClVF9GY5jr27ot1dJVmk_pH-XjxOsuwiUA9wSyyPNXYm44kz8x4hrxR4Z2tXZg5Kn3FtRaaDkplwwGwRwIFNOLPH5cmJOj_XX4ZswnZIq8Rv6NADRSRfjS-3rdoxIy7x0MUwHk9ECqylinuswhK-uPXjq3k2_Tb6YoFoWH0ALDIUGWt4_jbK3u6UQPxj0DpvnP3-G5TpfkC6CzKaNqbp_f8wpQfk3hCV0ve9GT0kt_zyEbm7g1X4mFyf4sk8JrtTzOTYtHS5iqY3tp1u67eovZitmkU3v2zf0V9A0RRzRfE_xBu6WS5CjHxpGBPDWhoVpzv_0mm3oj1BTxScNYuarpHNjfYloFf0MnkiVOwJ-Tr9dPbxczaQOmRO5tBlDGqI1sAcgHU62KoKwoUY51Q-9zXTtQQGQVnpFQcny1qXYPPApau95iHAU3IQ5-efEVpgcKG98kEFriFYEIi3D7mVotYhnxA-PkzjBsRzJN64MGwLjNovu8FlN8OyT8jbrdi6h_y4SeADWsq2MyJ2p4ZVMzODAzCOO1VVpfRVabmy1gputYLAPLg4dTkhr5Od7Y3St7SN8_HSIDWBEhOidw3RdOlkJ_Q0LAZu0PRotFoz-KrWFBKQY0BJ1KG35D0lZpu1iU2zjWl9HD86eZiQ4z90HOCp5iYaHHL_tChQBm6ZLJgpmCwNDzk3FQhmbHzQGkDXonKH_zCl5-QO3qZkKjgiB12z8S_IbfejW7TNy-QNfgKn2WBB
  priority: 102
  providerName: Taylor & Francis
Title Recursive versus nonrecursive Richardson algorithms: systematic overview, unified frameworks and application to electric grid power quality monitoring
URI https://www.tandfonline.com/doi/abs/10.1080/00051144.2022.2039989
https://www.proquest.com/docview/2634664866
https://hrcak.srce.hr/287485
https://gup.ub.gu.se/publication/314253
https://research.chalmers.se/publication/528911
https://doaj.org/article/c4c8bb76eb7a48aaa54a983f1e3cbe06
Volume 63
WOSCitedRecordID wos000757633000001&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: PRVAON
  databaseName: DOAJ Directory of Open Access Journals
  customDbUrl:
  eissn: 1848-3380
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0056360
  issn: 0005-1144
  databaseCode: DOA
  dateStart: 20170101
  isFulltext: true
  titleUrlDefault: https://www.doaj.org/
  providerName: Directory of Open Access Journals
– providerCode: PRVPQU
  databaseName: ProQuest Central
  customDbUrl:
  eissn: 1848-3380
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0056360
  issn: 0005-1144
  databaseCode: BENPR
  dateStart: 20110101
  isFulltext: true
  titleUrlDefault: https://www.proquest.com/central
  providerName: ProQuest
– providerCode: PRVPQU
  databaseName: Research Library
  customDbUrl:
  eissn: 1848-3380
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0056360
  issn: 0005-1144
  databaseCode: M2O
  dateStart: 20110101
  isFulltext: true
  titleUrlDefault: https://search.proquest.com/pqrl
  providerName: ProQuest
– providerCode: PRVAWR
  databaseName: Taylor & Francis
  customDbUrl:
  eissn: 1848-3380
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0056360
  issn: 0005-1144
  databaseCode: TFW
  dateStart: 20100101
  isFulltext: true
  titleUrlDefault: https://www.tandfonline.com
  providerName: Taylor & Francis
– providerCode: PRVAWR
  databaseName: Taylor & Francis Open Access
  customDbUrl:
  eissn: 1848-3380
  dateEnd: 99991231
  omitProxy: false
  ssIdentifier: ssj0056360
  issn: 0005-1144
  databaseCode: 0YH
  dateStart: 20170101
  isFulltext: true
  titleUrlDefault: https://www.tandfonline.com
  providerName: Taylor & Francis
link http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3Pb9MwFLZgcIAD4qdWGJUPiBOBJM92bG4MrdphlKkaYpwsx7Hbiq2rkhaJf4S_F784LSlC6oVLFD3Zke33xX5Onr-PkFcSnDWVLRILhUuYMjxRXoqEW8hM7sGCaXlmz4rxWF5eqvOe1BfmhEV64Dhw7yyzsiwL4crCMGmM4cwoCT5zYEsXybbTQm02U3EO5siCFQNfnoSIn23O7iCrNuIwmMLeMMeTWGGFRo333qrUkveHYHVWW_P9LwrT3UC0Ty7aLkijh-RBF0nSD7EHj8gtt3hM7vf4BZ-QXxP8mo4J6hSzL9YNDZv9emubbM9cUXM1vannq9l1857-IXemmN-J_w7e0PVi7kO0Sv0mmauhZlHR3v9vurqhUVQnVJzW84ouUYGNxmObP-l1O3tgw56SL6OTi4-nSSfEkFiRAsrVVxA8mFkAY5U3Zem59SE2CQ5wVaYqARl4aYSTDKwoKlWAST0TtnKKeQ_PyEHonzskNMeAQDnpvPRMgTfAkSMfUiN4pXw6IGzjCG07lnIUy7jS2ZbMNPpPo_90578Bebuttow0HfsqHKOXt4WRZbs1BOzpDnt6H_YG5HWLkZ2nREtTWxduNcoJSD4gqg8ivWq_xvgonaJhT0uPNojT3fzS6FwA6gJIgW2IKNxpxHS91ME0XevGheeHiRkG5OwfBTtKqZkOgEO9ngYrFJ6ZTOSZzjNRaOZTpkvgmTbB0QpAVby0z__HAL4g97CrbSYUHJGDVb12L8ld-2M1b-ohuZ1-Ox2SO8cn4_PJsH3Bw_VT_jlcL0ZffwMovlY4
linkProvider Directory of Open Access Journals
linkToHtml http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1db9MwFLVGhwQ88I0oDPAD8EQgybWdGAkhBps2rVTTNKS9eY5jtxVbW5IWtD_Cz-A34puPrkWIPe2Bt8iKrevk-Po6ufccQp6nYI3OTRIYSGzApOaBdKkIuIFIxw4M6Ipntpf0--nRkdxfI7_aWhhMq2x9YuWo84nBb-RvYgHIhJ4K8X76LUDVKPy72kpo1LDYs2c__JGtfLf7yb_fF3G8vXX4cSdoVAUCI0JA7fUcvDmRAdBGOp1ljhvnN9rMhjaPZC4gApdqYVMGRiS5TECHjgmTW8mcAz_uFbLOgHHWIeubW_39g9b3c2TfqgNuHviTBmtrhpDNG_Hvm_yZNMYKMB8ZoLb80m5YiQb4IHlYGP31D-rU1QB4mdS02gi3b_1vj_A2udmE3PRDvUbukLVhcZfcWCJivEd-HuBvB8zkp5imMi_peOLXVdt2sChOo_pk4Kc0G56Wb-k5CzbFRFic_Ss6H4-cD-upa7PeSqrHOV1KFKCzCa3Vh3zHQTHK6RSl6mhd33pGTys3i4bdJ18u5cE8IB0_P_uQ0BgjJ2lT61LHJDgNHMUEINSC59KFXcJa5CjT0LmjqsiJihasrzXgFAJONYDrkteLbtOaz-SiDpsIy8XNSEdeNUyKgWq8mzLMpFmWCJslmqVaa860TMFFFoyfuuiSlxWoV0apW8rCWH-pUHch5V0il1GvZtVnK1drzCi4wNKNFvaqccSlOse8t6FeNitGDOZT5ZsGc1VaP77fwaBLen-5seHeGioPOBQ2KrFD4piORBypOBKJYi5kKgMeKe1ftASQOc_Mo3-b9Yxc2zn83FO93f7eY3IdJ1QlhsEG6cyKuX1Crprvs1FZPG18DSXHl702fwNAV78k
linkToPdf http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Nj9MwELVgQQgOfC6isIAPiBNBScZ2bG58rRZRVasVSMvJchy7rdhtqyRF4o_we_E4SWkRaA9wq9yMNXZexi_O-A0hzyQ4aypbJBYKlzBleKK8FAm3kJncgwUTdWbHxWQiT0_VcZ9N2PRplfgO7TuhiBir8eFeVX7IiIt16AKNxx2RHM9ShTVWqsvkCpeBywRIp1-OhmDMUQ6rY8A8QZvhEM_futlZnqKKf2Cts9qar79pme4y0m2V0bgyHd76D2O6TW72tJS-7nB0h1xyi7vkxpZY4T3y4wS35jHbnWIqx7qhi2XA3tB2sjnARc3ZdFnP29l584r-UoqmmCyKHyJe0PVi7gP1pX7IDGtocJxufUyn7ZJ2FXqC4bSeV3SF5dxodwb0Oz2PoQgd2yefD99_enuU9FUdEitSaJMMKghwyCyAscqbsvTc-kB0Spe6KlOVgAy8NMJJBlYUlSrApJ4JWznFvIf7ZC-Mzz0gNEd2oZx0XnqmwBvgKLgPqRG8Uj4dETbcTG17yXOsvHGms40yajftGqdd99M-Ii83ZqtO8-MigzeIlM3FKNkdG5b1VPcRQFtmZVkWwpWFYdIYw5lREnzmwIahixF5HnG200vX0tTWhZ8aaxNIPiJqG4i6jVs7vqvDouECTw8G1Oo-WDU6F4BFBqRAHzok7zgxXa90aJqudeNC_yHKw4iM_3Bhr0810wFwWPynQYPCM5OJPNN5JgrNfMp0CTzTJtxoBaAqXtqH_zCkp-Ta8btDPf4w-fiIXMd_YmIVHJC9tl67x-Sq_dbOm_pJDAw_Ab0nYt4
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+versus+nonrecursive+Richardson+algorithms%3A+systematic+overview%2C+unified+frameworks+and+application+to+electric+grid+power+quality+monitoring&rft.jtitle=Automatika&rft.au=Alexander+Stotsky&rft.date=2022-04-03&rft.pub=Taylor+%26+Francis+Group&rft.issn=0005-1144&rft.eissn=1848-3380&rft.volume=63&rft.issue=2&rft.spage=328&rft.epage=337&rft_id=info:doi/10.1080%2F00051144.2022.2039989&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_c4c8bb76eb7a48aaa54a983f1e3cbe06
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0005-1144&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0005-1144&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0005-1144&client=summon