{"id":"https://openalex.org/W3116242177","doi":"https://doi.org/10.1109/tase.2020.3041952","title":"A Novel Iterative Learning Approach for Tracking Control of High-Speed Trains Subject to Unknown Time-Varying Delay","display_name":"A Novel Iterative Learning Approach for Tracking Control of High-Speed Trains Subject to Unknown Time-Varying Delay","publication_year":2020,"publication_date":"2020-12-22","ids":{"openalex":"https://openalex.org/W3116242177","doi":"https://doi.org/10.1109/tase.2020.3041952","mag":"3116242177"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2020.3041952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2020.3041952","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/journal_contribution/A_novel_iterative_learning_approach_for_tracking_control_of_high-speed_trains_subject_to_unknown_time-varying_delay/23478860","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005233486","display_name":"Yong Chen","orcid":"https://orcid.org/0000-0002-7570-3312"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Chen","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, China","School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]},{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032642266","display_name":"Deqing Huang","orcid":"https://orcid.org/0000-0002-8185-9030"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Deqing Huang","raw_affiliation_strings":["School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082520195","display_name":"Yanan Li","orcid":"https://orcid.org/0000-0002-1443-2547"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Yanan Li","raw_affiliation_strings":["Department of Engineering and Design, University of Sussex, Brighton, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Engineering and Design, University of Sussex, Brighton, U.K","institution_ids":["https://openalex.org/I162608824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100964031","display_name":"Xiaoyun Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyun Feng","raw_affiliation_strings":["School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005233486"],"corresponding_institution_ids":["https://openalex.org/I4800084","https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":3.0808,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.91607429,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"19","issue":"1","first_page":"113","last_page":"121"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10842","display_name":"Railway Engineering and Dynamics","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":0.980400025844574,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6913146376609802},{"id":"https://openalex.org/keywords/train","display_name":"Train","score":0.6681035757064819},{"id":"https://openalex.org/keywords/iterative-learning-control","display_name":"Iterative learning control","score":0.6263357400894165},{"id":"https://openalex.org/keywords/lipschitz-continuity","display_name":"Lipschitz continuity","score":0.5234850645065308},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5187733173370361},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4858819842338562},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.47100937366485596},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.4123760163784027},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.41036373376846313},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3640965521335602},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.32949161529541016},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26326504349708557},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.2554425001144409},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2325931191444397},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2141990065574646}],"concepts":[{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6913146376609802},{"id":"https://openalex.org/C190839683","wikidata":"https://www.wikidata.org/wiki/Q2448197","display_name":"Train","level":2,"score":0.6681035757064819},{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.6263357400894165},{"id":"https://openalex.org/C22324862","wikidata":"https://www.wikidata.org/wiki/Q652707","display_name":"Lipschitz continuity","level":2,"score":0.5234850645065308},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5187733173370361},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4858819842338562},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.47100937366485596},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.4123760163784027},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.41036373376846313},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3640965521335602},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.32949161529541016},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26326504349708557},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2554425001144409},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2325931191444397},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2141990065574646},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tase.2020.3041952","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2020.3041952","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:figshare.com:article/23478860","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_novel_iterative_learning_approach_for_tracking_control_of_high-speed_trains_subject_to_unknown_time-varying_delay/23478860","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:sro.sussex.ac.uk:95416","is_oa":false,"landing_page_url":"http://sro.sussex.ac.uk/id/eprint/95416/1/FINAL%20VERSION.PDF","pdf_url":null,"source":{"id":"https://openalex.org/S4306400129","display_name":"Sussex Research Online (University of Sussex)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I162608824","host_organization_name":"University of Sussex","host_organization_lineage":["https://openalex.org/I162608824"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/23478860","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/A_novel_iterative_learning_approach_for_tracking_control_of_high-speed_trains_subject_to_unknown_time-varying_delay/23478860","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.8799999952316284,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G4065389682","display_name":null,"funder_award_id":"U1934221","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4679897899","display_name":null,"funder_award_id":"61773323","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5097918705","display_name":null,"funder_award_id":"2019YJ0210","funder_id":"https://openalex.org/F4320333335","funder_display_name":"Sichuan Province Science and Technology Support Program"},{"id":"https://openalex.org/G7753253289","display_name":null,"funder_award_id":"2682018CX15","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G802556646","display_name":null,"funder_award_id":"61733015","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G892544267","display_name":null,"funder_award_id":"U1934204","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320333335","display_name":"Sichuan Province Science and Technology Support Program","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1599613072","https://openalex.org/W1919865076","https://openalex.org/W1955908892","https://openalex.org/W1967633750","https://openalex.org/W1969195578","https://openalex.org/W2023581961","https://openalex.org/W2062403898","https://openalex.org/W2071555675","https://openalex.org/W2079286168","https://openalex.org/W2081365200","https://openalex.org/W2082958903","https://openalex.org/W2086894899","https://openalex.org/W2088275119","https://openalex.org/W2105979811","https://openalex.org/W2128727377","https://openalex.org/W2132648822","https://openalex.org/W2137824246","https://openalex.org/W2148614305","https://openalex.org/W2153922235","https://openalex.org/W2154157033","https://openalex.org/W2175091750","https://openalex.org/W2206190669","https://openalex.org/W2264878733","https://openalex.org/W2342322515","https://openalex.org/W2342924844","https://openalex.org/W2346129853","https://openalex.org/W2548182412","https://openalex.org/W2559030670","https://openalex.org/W2626769442","https://openalex.org/W2749189037","https://openalex.org/W2797875425","https://openalex.org/W2922446740","https://openalex.org/W2955571302","https://openalex.org/W2968492051","https://openalex.org/W3033613427","https://openalex.org/W6640840006","https://openalex.org/W6767190054","https://openalex.org/W6779631554"],"related_works":["https://openalex.org/W2761624296","https://openalex.org/W4386994694","https://openalex.org/W618248309","https://openalex.org/W2377336366","https://openalex.org/W4388738109","https://openalex.org/W2362901947","https://openalex.org/W3185235544","https://openalex.org/W1601203902","https://openalex.org/W2362086884","https://openalex.org/W2102464536"],"abstract_inverted_index":{"In":[0],"this":[1,253],"article,":[2],"a":[3,251,256],"novel":[4],"iterative":[5,190,268],"learning":[6,61,191,269],"control":[7,73,89,118,192,241,270,299],"scheme":[8,119],"is":[9,27,47,91,103,149,292,305,332],"proposed":[10,45,117,329],"for":[11,31,79,201],"high-speed":[12],"trains,":[13],"aiming":[14],"to":[15,29,63,155,174,184,217,259,294,307,335],"track":[16],"the":[17,24,32,44,49,54,60,65,72,77,80,83,96,101,110,113,116,130,137,141,146,163,167,175,180,185,189,194,203,209,218,231,238,261,267,274,280,286,288,296,302,309,315,323,328,341],"desired":[18,84],"reference":[19,142],"displacement":[20],"and":[21,53,75,100,140,171,225,243,279,301,318,325],"velocity,":[22],"where":[23],"Krasovskii":[25],"function":[26,52,291],"constructed":[28],"compensate":[30],"negative":[33],"influence":[34],"of":[35,43,82,88,115,133,136,196,206,221,233,240,263,276,282,298,311,327],"unknown":[36,210,264],"time-varying":[37],"speed":[38,211],"delays.":[39],"The":[40,86],"main":[41],"feature":[42],"approach":[46],"that":[48,68,122],"hyperbolic":[50,289],"tangent":[51,290],"command":[55,303],"filter":[56,304],"are":[57,127,214],"integrated":[58],"into":[59],"controller":[62,205,312],"overcome":[64],"singularity":[66],"problem":[67],"may":[69,236],"occur":[70],"during":[71],"process":[74],"relax":[76],"requirement":[78],"derivability":[81],"velocity.":[85],"stability":[87,316],"system":[90,242],"strictly":[92],"proved":[93],"through":[94],"establishing":[95],"composite":[97],"energy":[98],"function,":[99],"effectiveness":[102,326],"confirmed":[104,322],"via":[105],"numerical":[106,319],"simulations.":[107],"Compared":[108],"with":[109],"existing":[111],"works,":[112],"merits":[114],"lie":[120],"in":[121,247,340],"more":[123],"general":[124],"nonlinear":[125],"uncertainties":[126],"imposed":[128],"on":[129,162,227],"dynamic":[131],"model":[132],"train":[134,158,277],"instead":[135],"Lipschitz":[138],"condition,":[139],"acceleration":[143],"assigned":[144],"by":[145,179,338],"railway":[147,181],"department":[148],"not":[150],"required.":[151],"<italic":[152],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[153],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Note":[154],"Practitioners</i>":[156],"\u2014High-speed":[157],"always":[159],"runs":[160],"periodically":[161],"same":[164,168],"railway,":[165],"e.g.,":[166],"tunnels,":[169],"slopes,":[170],"bridges,":[172],"according":[173],"scheduling":[176],"plans":[177],"developed":[178],"department.":[182],"Due":[183],"repetitive":[186],"operation":[187,278],"pattern,":[188],"has":[193],"prospect":[195],"becoming":[197],"an":[198],"inherent":[199],"method":[200,258],"devising":[202],"tracking":[204],"trains.":[207],"Nevertheless,":[208],"delays,":[212],"which":[213],"inevitable":[215],"due":[216],"damping":[219],"effect":[220],"wheel":[222],"rails,":[223],"couplers,":[224],"so":[226],"as":[228,230],"well":[229],"disturbance":[232],"external":[234],"environments,":[235],"degrade":[237],"performance":[239],"even":[244],"cause":[245],"instability":[246],"severe":[248],"cases.":[249],"As":[250],"result,":[252],"article":[254],"exploits":[255],"compensation":[257],"eliminate":[260],"effects":[262],"delay":[265],"under":[266],"framework,":[271],"thus":[272],"guaranteeing":[273],"safety":[275],"comfort":[281],"passengers.":[283],"To":[284],"enhance":[285],"practicability,":[287],"introduced":[293],"keep":[295],"continuity":[297],"signal,":[300],"synthesized":[306],"reduce":[308],"complexity":[310],"implementation.":[313],"Although":[314],"analysis":[317],"simulations":[320],"have":[321],"feasibility":[324],"scheme,":[330],"it":[331],"still":[333],"expected":[334],"be":[336],"verified":[337],"experiments":[339],"future.":[342]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}