{"id":"https://openalex.org/W4401247358","doi":"https://doi.org/10.1109/tvt.2024.3436826","title":"Anti-Roll Trajectory Tracking Control Based on Adaptive Weight Allocation Law in Phase Space Stable Region","display_name":"Anti-Roll Trajectory Tracking Control Based on Adaptive Weight Allocation Law in Phase Space Stable Region","publication_year":2024,"publication_date":"2024-08-02","ids":{"openalex":"https://openalex.org/W4401247358","doi":"https://doi.org/10.1109/tvt.2024.3436826"},"language":"en","primary_location":{"id":"doi:10.1109/tvt.2024.3436826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3436826","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"},"type":"article","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/A5100582830","display_name":"Zekun Yang","orcid":"https://orcid.org/0000-0002-5402-8549"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zekun Yang","raw_affiliation_strings":["State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, China","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100367945","display_name":"Shaohua Li","orcid":"https://orcid.org/0000-0002-6952-5978"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Li","raw_affiliation_strings":["State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, China","institution_ids":["https://openalex.org/I90090648"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032883749","display_name":"Shaopu Yang","orcid":"https://orcid.org/0000-0002-3888-4169"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaopu Yang","raw_affiliation_strings":["State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, China","institution_ids":["https://openalex.org/I90090648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100582830"],"corresponding_institution_ids":["https://openalex.org/I90090648"],"apc_list":null,"apc_paid":null,"fwci":1.2559,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78395888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"73","issue":"12","first_page":"18208","last_page":"18221"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9922000169754028,"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"}},"topics":[{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9922000169754028,"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"}},{"id":"https://openalex.org/T14270","display_name":"Simulation and Modeling Applications","score":0.9642000198364258,"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"}},{"id":"https://openalex.org/T13717","display_name":"Advanced Algorithms and Applications","score":0.9312999844551086,"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/trajectory","display_name":"Trajectory","score":0.709263026714325},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6505622267723083},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5583707094192505},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.5369164347648621},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.4262329638004303},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3859128952026367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.37960678339004517},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.37669992446899414},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.35579830408096313},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.25504186749458313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13080433011054993},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10071006417274475}],"concepts":[{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.709263026714325},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6505622267723083},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5583707094192505},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.5369164347648621},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.4262329638004303},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3859128952026367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.37960678339004517},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.37669992446899414},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.35579830408096313},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.25504186749458313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13080433011054993},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10071006417274475},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","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},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvt.2024.3436826","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvt.2024.3436826","pdf_url":null,"source":{"id":"https://openalex.org/S10936095","display_name":"IEEE Transactions on Vehicular Technology","issn_l":"0018-9545","issn":["0018-9545","1939-9359"],"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 Vehicular Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1024696013","display_name":null,"funder_award_id":"U22A20246","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1699327229","https://openalex.org/W1982641902","https://openalex.org/W2123155222","https://openalex.org/W2317934000","https://openalex.org/W2344498459","https://openalex.org/W2346595613","https://openalex.org/W2468574044","https://openalex.org/W2573744919","https://openalex.org/W2769379862","https://openalex.org/W2800937130","https://openalex.org/W2805011063","https://openalex.org/W2805060771","https://openalex.org/W2890681882","https://openalex.org/W2898110491","https://openalex.org/W2904322124","https://openalex.org/W2909668839","https://openalex.org/W2990972826","https://openalex.org/W3007975121","https://openalex.org/W3009092950","https://openalex.org/W3028820810","https://openalex.org/W3044225827","https://openalex.org/W3087716449","https://openalex.org/W3088035741","https://openalex.org/W3114622139","https://openalex.org/W3134235046","https://openalex.org/W3137361670","https://openalex.org/W3164776400","https://openalex.org/W3187008557","https://openalex.org/W3195214378","https://openalex.org/W4205453548","https://openalex.org/W4246982526","https://openalex.org/W4281387939","https://openalex.org/W4297333579","https://openalex.org/W4309099901","https://openalex.org/W4309757742","https://openalex.org/W4312457359","https://openalex.org/W4319341663","https://openalex.org/W4378421910"],"related_works":["https://openalex.org/W1941703695","https://openalex.org/W4248382324","https://openalex.org/W3131574667","https://openalex.org/W4323768008","https://openalex.org/W4360995134","https://openalex.org/W2373557848","https://openalex.org/W2088970451","https://openalex.org/W2002488624","https://openalex.org/W2157008402","https://openalex.org/W2592302855"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,81,132,139,209,212],"achieve":[3],"active":[4,20],"anti-roll":[5],"control":[6,16,74],"in":[7,86,106],"trajectory":[8,179],"tracking":[9,45,180,206],"for":[10],"SUV":[11],"vehicles,":[12],"a":[13,166],"model":[14,31,46,52],"predictive":[15],"(MPC)":[17],"method":[18,129],"with":[19],"front":[21],"steering":[22],"(AFS)":[23],"is":[24,32,47,53,66,79,93,116,130,186],"proposed.":[25],"A":[26,62,126],"three-degree-of-freedom":[27],"(3DOF)":[28],"vehicle":[29],"dynamic":[30],"constructed":[33],"including":[34],"lateral":[35],"motion,":[36],"yaw":[37,99],"motion":[38],"and":[39,49,101,122,149,156,203],"roll":[40],"motion.":[41],"Additionally,":[42],"an":[43],"error":[44],"developed":[48],"the":[50,69,73,83,87,119,123,134,141,147,152,170,178,183,189,193,197,201],"tire":[51],"fitted":[54],"by":[55,95,118,199],"experimental":[56,194],"data":[57],"from":[58],"235/55":[59],"R19":[60],"tires.":[61],"parameter":[63],"sensitivity":[64,77],"analysis":[65,78],"conducted":[67],"on":[68,165],"weight":[70,111],"coefficients":[71],"of":[72,151,182,205],"output.":[75],"The":[76,90],"used":[80,131],"assess":[82],"vehicular":[84],"states":[85,121],"phase":[88],"space.":[89,108],"stable":[91,124],"region":[92],"determined":[94,117],"side":[96],"slip":[97],"angle,":[98],"rate,":[100],"load":[102],"transfer":[103],"ratio":[104],"(LTR)":[105],"this":[107],"An":[109],"adaptive":[110],"(AW)":[112],"coefficient":[113],"allocation":[114],"law":[115],"current":[120],"boundary.":[125],"quadratic":[127,135],"penalty":[128],"solve":[133],"programming":[136],"(QP)":[137],"problem":[138],"meet":[140],"real-time":[142],"testing":[143],"requirements.":[144],"To":[145],"validate":[146],"effectiveness":[148],"adaptability":[150],"proposed":[153,184],"algorithm,":[154],"simulations":[155],"field":[157],"tests":[158],"under":[159],"different":[160],"driving":[161],"conditions":[162],"are":[163],"performed":[164],"four-wheel":[167],"vehicle.":[168],"From":[169],"simulation":[171],"results,":[172],"it":[173],"can":[174],"be":[175],"seen":[176],"that":[177],"performance":[181,207],"controller":[185],"better":[187],"than":[188],"traditional":[190],"MPC.":[191],"Further,":[192],"test":[195],"shows":[196],"feasibility":[198],"reducing":[200],"MAX":[202],"RMS":[204],"up":[208],"11.4%":[210],"compared":[211],"MPC":[213],"approach":[214],"without":[215],"AW.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
