{"id":"https://openalex.org/W3012242443","doi":"https://doi.org/10.1109/tits.2020.2978948","title":"Model Predictive Control Framework for Improving Vehicle Cornering Performance Using Handling Characteristics","display_name":"Model Predictive Control Framework for Improving Vehicle Cornering Performance Using Handling Characteristics","publication_year":2020,"publication_date":"2020-03-19","ids":{"openalex":"https://openalex.org/W3012242443","doi":"https://doi.org/10.1109/tits.2020.2978948","mag":"3012242443"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2020.2978948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.2978948","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","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/A5014408311","display_name":"Kyoungseok Han","orcid":"https://orcid.org/0000-0002-4986-2053"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kyoungseok Han","raw_affiliation_strings":["School of Mechanical Engineering, Kyungpook National University, Daegu, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-4986-2053","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046670093","display_name":"Giseo Park","orcid":"https://orcid.org/0000-0002-0261-6314"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Giseo Park","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-0261-6314","affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037434617","display_name":"Gokul S. Sankar","orcid":"https://orcid.org/0000-0002-9678-6444"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gokul S. Sankar","raw_affiliation_strings":["Traxen Inc., Plymouth, MI, USA"],"raw_orcid":"https://orcid.org/0000-0002-9678-6444","affiliations":[{"raw_affiliation_string":"Traxen Inc., Plymouth, MI, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046522385","display_name":"Kanghyun Nam","orcid":"https://orcid.org/0000-0003-0687-3649"},"institutions":[{"id":"https://openalex.org/I55240360","display_name":"Yeungnam University","ror":"https://ror.org/05yc6p159","country_code":"KR","type":"education","lineage":["https://openalex.org/I55240360"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kanghyun Nam","raw_affiliation_strings":["Yeungnam University, Gyeongsan, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-0687-3649","affiliations":[{"raw_affiliation_string":"Yeungnam University, Gyeongsan, South Korea","institution_ids":["https://openalex.org/I55240360"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016427889","display_name":"Seibum B. Choi","orcid":"https://orcid.org/0000-0002-8555-4429"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seibum B. Choi","raw_affiliation_strings":["KAIST, Daejeon, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-8555-4429","affiliations":[{"raw_affiliation_string":"KAIST, Daejeon, South Korea","institution_ids":["https://openalex.org/I157485424"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5014408311"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":1.8326,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.84670162,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"22","issue":"5","first_page":"3014","last_page":"3024"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":1.0,"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":1.0,"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/T10808","display_name":"Electric and Hybrid Vehicle Technologies","score":0.9958999752998352,"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/T12810","display_name":"Real-time simulation and control systems","score":0.9951000213623047,"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/model-predictive-control","display_name":"Model predictive control","score":0.7310315370559692},{"id":"https://openalex.org/keywords/automobile-handling","display_name":"Automobile handling","score":0.6147915720939636},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.603430986404419},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.5734591484069824},{"id":"https://openalex.org/keywords/vehicle-dynamics","display_name":"Vehicle dynamics","score":0.5674125552177429},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.5570538640022278},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5467473864555359},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.45832741260528564},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.4370272159576416},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4191990792751312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.165531724691391}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7310315370559692},{"id":"https://openalex.org/C148381915","wikidata":"https://www.wikidata.org/wiki/Q870020","display_name":"Automobile handling","level":2,"score":0.6147915720939636},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.603430986404419},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.5734591484069824},{"id":"https://openalex.org/C79487989","wikidata":"https://www.wikidata.org/wiki/Q934680","display_name":"Vehicle dynamics","level":2,"score":0.5674125552177429},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.5570538640022278},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5467473864555359},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.45832741260528564},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.4370272159576416},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4191990792751312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.165531724691391},{"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":1,"locations":[{"id":"doi:10.1109/tits.2020.2978948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2020.2978948","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G5911908494","display_name":null,"funder_award_id":"2017R1A2B4004116","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1495343868","https://openalex.org/W1979317847","https://openalex.org/W1986324896","https://openalex.org/W2003032253","https://openalex.org/W2019778873","https://openalex.org/W2028583686","https://openalex.org/W2073910951","https://openalex.org/W2093663262","https://openalex.org/W2144943016","https://openalex.org/W2145930766","https://openalex.org/W2147524078","https://openalex.org/W2150506037","https://openalex.org/W2153220554","https://openalex.org/W2212957503","https://openalex.org/W2323741092","https://openalex.org/W2324933444","https://openalex.org/W2339372098","https://openalex.org/W2481690165","https://openalex.org/W2529203031","https://openalex.org/W2592085773","https://openalex.org/W2607741736","https://openalex.org/W2615703847","https://openalex.org/W2749680651","https://openalex.org/W2791979048","https://openalex.org/W2794539085","https://openalex.org/W3010243089","https://openalex.org/W4299825255"],"related_works":["https://openalex.org/W128654086","https://openalex.org/W2053354875","https://openalex.org/W2046578924","https://openalex.org/W2418406675","https://openalex.org/W2000675896","https://openalex.org/W2166729906","https://openalex.org/W127046527","https://openalex.org/W1964391206","https://openalex.org/W1999160986","https://openalex.org/W2009041800"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,13,84,146],"new":[4],"control":[5,16,45,110,137,141,149],"strategy":[6],"to":[7,38,55,61,79,134,151],"improve":[8],"vehicle":[9,35,69,89],"cornering":[10,90],"performance":[11],"in":[12,83,145,158],"model":[14,147],"predictive":[15,148],"framework.":[17],"The":[18,139],"most":[19,50],"distinguishing":[20],"feature":[21],"of":[22,32,42,165],"the":[23,28,33,40,43,68,73,76,88,108,115,118,135,153,163,166],"proposed":[24,136,167],"method":[25],"is":[26,36,70,123,143],"that":[27,86,122],"natural":[29],"handling":[30,59],"characteristics":[31,60],"production":[34,51],"exploited":[37],"reduce":[39],"complexity":[41],"conventional":[44,109,116],"methods.":[46,111],"For":[47],"safety's":[48],"sake,":[49],"vehicles":[52],"are":[53],"built":[54],"exhibit":[56],"an":[57,96],"understeer":[58,74],"some":[62],"extent.":[63],"By":[64],"monitoring":[65],"how":[66],"much":[67],"biased":[71],"into":[72],"state,":[75],"controller":[77,98],"attempts":[78],"adjust":[80],"this":[81,93],"amount":[82],"way":[85],"improves":[87],"performance.":[91],"With":[92],"particular":[94],"strategy,":[95],"innovative":[97],"can":[99],"be":[100,131],"designed":[101],"without":[102],"road":[103,127],"friction":[104,128],"information,":[105],"which":[106],"complicates":[107],"In":[112],"addition,":[113],"unlike":[114],"controllers,":[117],"reference":[119],"yaw":[120],"rate":[121],"highly":[124],"dependent":[125],"on":[126],"need":[129],"not":[130],"defined":[132],"due":[133],"structure.":[138],"optimal":[140],"problem":[142],"formulated":[144],"framework":[150],"handle":[152],"constraints":[154],"efficiently,":[155],"and":[156],"simulations":[157],"various":[159],"test":[160],"scenarios":[161],"illustrate":[162],"effectiveness":[164],"approach.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}