{"id":"https://openalex.org/W4406614370","doi":"https://doi.org/10.1109/smc54092.2024.10831382","title":"A Tube Model Predictive Control Approach for Virtually Coupled Train Set with Nonlinear Relative-Braking Distance","display_name":"A Tube Model Predictive Control Approach for Virtually Coupled Train Set with Nonlinear Relative-Braking Distance","publication_year":2024,"publication_date":"2024-10-06","ids":{"openalex":"https://openalex.org/W4406614370","doi":"https://doi.org/10.1109/smc54092.2024.10831382"},"language":"en","primary_location":{"id":"doi:10.1109/smc54092.2024.10831382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110379768","display_name":"Xinping Pu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089559","display_name":"Shenzhen Metro (China)","ror":"https://ror.org/008hpge95","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210089559"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaobin Pu","raw_affiliation_strings":["Shenzhen Metro Group Co., Ltd.,Shenzheng,China,518000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Metro Group Co., Ltd.,Shenzheng,China,518000","institution_ids":["https://openalex.org/I4210089559"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011288371","display_name":"Liqun Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089559","display_name":"Shenzhen Metro (China)","ror":"https://ror.org/008hpge95","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210089559"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liqun Fan","raw_affiliation_strings":["Shenzhen Metro Group Co., Ltd.,Shenzheng,China,518000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Metro Group Co., Ltd.,Shenzheng,China,518000","institution_ids":["https://openalex.org/I4210089559"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036635042","display_name":"Qiusheng Liu","orcid":"https://orcid.org/0000-0001-6994-2715"},"institutions":[{"id":"https://openalex.org/I4210147811","display_name":"Shenzhen Municipal People's Government","ror":"https://ror.org/05rcfc739","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210147811"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiusheng Liu","raw_affiliation_strings":["Shenzhen Municipal Design and Research Institute Co.,Ltd.,Shenzheng,China,518000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Municipal Design and Research Institute Co.,Ltd.,Shenzheng,China,518000","institution_ids":["https://openalex.org/I4210147811"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021554598","display_name":"Xiaolin Luo","orcid":"https://orcid.org/0000-0002-7839-9985"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolin Luo","raw_affiliation_strings":["Beijing Jiaotong University,State Key Laboratory of Advanced Rail Autonomous Operation,Beijing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,State Key Laboratory of Advanced Rail Autonomous Operation,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039761222","display_name":"Qilong Jia","orcid":"https://orcid.org/0000-0002-6317-2008"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Qingdong Jia","raw_affiliation_strings":["Traffic Control Technology Co., Ltd.,Beijing,China,100070"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Traffic Control Technology Co., Ltd.,Beijing,China,100070","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100713122","display_name":"Kaixuan Li","orcid":"https://orcid.org/0000-0001-7498-1380"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaixuan Li","raw_affiliation_strings":["Traffic Control Technology Co., Ltd.,Beijing,China,100070"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Traffic Control Technology Co., Ltd.,Beijing,China,100070","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342395","display_name":"Kun Zhang","orcid":"https://orcid.org/0000-0003-4156-3523"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kun Zhang","raw_affiliation_strings":["Traffic Control Technology Co., Ltd.,Beijing,China,100070"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Traffic Control Technology Co., Ltd.,Beijing,China,100070","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115594388","display_name":"Hongjie Liu","orcid":"https://orcid.org/0009-0005-0212-6365"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjie Liu","raw_affiliation_strings":["Beijing Jiaotong University,State Key Laboratory of Advanced Rail Autonomous Operation,Beijing,China,100044"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,State Key Laboratory of Advanced Rail Autonomous Operation,Beijing,China,100044","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"361","last_page":"366"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9955999851226807,"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"}},"topics":[{"id":"https://openalex.org/T11568","display_name":"Railway Systems and Energy Efficiency","score":0.9955999851226807,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9363999962806702,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/model-predictive-control","display_name":"Model predictive control","score":0.6977028250694275},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6525011658668518},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6420244574546814},{"id":"https://openalex.org/keywords/nonlinear-model","display_name":"Nonlinear model","score":0.5618457198143005},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5615344047546387},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5026750564575195},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3904942274093628},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2097700536251068},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13589143753051758}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6977028250694275},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6525011658668518},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6420244574546814},{"id":"https://openalex.org/C2984755018","wikidata":"https://www.wikidata.org/wiki/Q17118374","display_name":"Nonlinear model","level":3,"score":0.5618457198143005},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5615344047546387},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5026750564575195},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3904942274093628},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2097700536251068},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13589143753051758},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc54092.2024.10831382","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc54092.2024.10831382","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2056947227","https://openalex.org/W2097814659","https://openalex.org/W2119974577","https://openalex.org/W2944848986","https://openalex.org/W3134035453","https://openalex.org/W3160356315","https://openalex.org/W3189208658","https://openalex.org/W3209674822","https://openalex.org/W4280596942","https://openalex.org/W4283014883","https://openalex.org/W4285105302","https://openalex.org/W4289538317","https://openalex.org/W4310818419","https://openalex.org/W4312126353","https://openalex.org/W4322767962","https://openalex.org/W4364374461","https://openalex.org/W4367598767","https://openalex.org/W4385486116","https://openalex.org/W4387332444","https://openalex.org/W4387388484","https://openalex.org/W4389328739","https://openalex.org/W4389579181","https://openalex.org/W4391074120","https://openalex.org/W4391769041","https://openalex.org/W6849799340"],"related_works":["https://openalex.org/W1631623342","https://openalex.org/W2556120871","https://openalex.org/W1779399219","https://openalex.org/W648378158","https://openalex.org/W3083517787","https://openalex.org/W1839440842","https://openalex.org/W4251946813","https://openalex.org/W2885820669","https://openalex.org/W1981727740","https://openalex.org/W2368407738"],"abstract_inverted_index":{"Virtual":[0],"coupling":[1],"deploys":[2],"the":[3,63,70,75,82,99,114],"relative-braking":[4],"distance":[5,11],"(RBD)":[6],"to":[7,27,52,61,97],"keep":[8],"a":[9,16,29,36,45,88],"minimal":[10],"between":[12],"successive":[13],"units":[14],"in":[15,35],"virtually":[17],"coupled":[18],"train":[19],"set":[20],"(VCTS).":[21],"However,":[22],"it":[23],"is":[24,59,84],"still":[25],"challenging":[26],"design":[28],"control":[30,49],"approach":[31,51],"that":[32,81,113],"addresses":[33],"RBD":[34],"stable":[37],"and":[38,109],"computation-efficient":[39],"way.":[40],"Thus,":[41],"this":[42,54],"paper":[43],"proposes":[44],"tube":[46,116],"model":[47,58,76],"predictive":[48],"(MPC)":[50],"solve":[53],"problem.":[55,93],"The":[56],"nonlinear":[57,124],"formulated":[60],"capture":[62],"movement":[64],"of":[65],"VCTS":[66,120],"with":[67],"RBD.":[68],"In":[69],"prediction":[71],"horizon,":[72],"we":[73],"linearize":[74],"at":[77],"each":[78],"instant,":[79],"such":[80],"controller":[83],"calculated":[85],"by":[86,128],"solving":[87],"computationally":[89],"efficient":[90],"quadratic":[91],"programming":[92],"Tubes":[94],"are":[95,106],"constructed":[96],"confine":[98],"tracking":[100],"errors":[101],"from":[102],"linearization.":[103],"Finally,":[104],"experiments":[105],"carried":[107],"out":[108],"relevant":[110],"results":[111],"show":[112],"proposed":[115],"MPC":[117],"can":[118],"operate":[119],"as":[121,123],"well":[122],"MPC,":[125],"but":[126],"save":[127],"over":[129],"70%":[130],"computation":[131],"time.":[132]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}