{"id":"https://openalex.org/W4390204020","doi":"https://doi.org/10.1109/tiv.2023.3347203","title":"An MPC Approximation Approach for Adaptive Cruise Control With Reduced Computational Complexity and Low Memory Footprint","display_name":"An MPC Approximation Approach for Adaptive Cruise Control With Reduced Computational Complexity and Low Memory Footprint","publication_year":2023,"publication_date":"2023-12-25","ids":{"openalex":"https://openalex.org/W4390204020","doi":"https://doi.org/10.1109/tiv.2023.3347203"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2023.3347203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3347203","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Vehicles","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/A5029193981","display_name":"Duc Giap Nguyen","orcid":"https://orcid.org/0000-0001-8446-1549"},"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":false,"raw_author_name":"Duc Giap Nguyen","raw_affiliation_strings":["Graduate School of Mechanical Engineering, Kyungpook National University, Daegu, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-8446-1549","affiliations":[{"raw_affiliation_string":"Graduate School of Mechanical Engineering, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046554759","display_name":"Suyong Park","orcid":"https://orcid.org/0009-0009-5281-7665"},"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":false,"raw_author_name":"Suyong Park","raw_affiliation_strings":["Graduate School of Mechanical Engineering, Kyungpook National University, Daegu, South Korea"],"raw_orcid":"https://orcid.org/0009-0009-5281-7665","affiliations":[{"raw_affiliation_string":"Graduate School of Mechanical Engineering, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051761210","display_name":"Jinrak Park","orcid":"https://orcid.org/0000-0003-4092-4278"},"institutions":[{"id":"https://openalex.org/I49946491","display_name":"Hyundai Motors (South Korea)","ror":"https://ror.org/016kvft77","country_code":"KR","type":"company","lineage":["https://openalex.org/I197312522","https://openalex.org/I49946491"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jinrak Park","raw_affiliation_strings":["Electrified Systems Control Research Lab, Hyundai Motor Company, Hwaseong, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-4092-4278","affiliations":[{"raw_affiliation_string":"Electrified Systems Control Research Lab, Hyundai Motor Company, Hwaseong, South Korea","institution_ids":["https://openalex.org/I49946491"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100662968","display_name":"Dohee Kim","orcid":"https://orcid.org/0000-0002-7084-3631"},"institutions":[{"id":"https://openalex.org/I49946491","display_name":"Hyundai Motors (South Korea)","ror":"https://ror.org/016kvft77","country_code":"KR","type":"company","lineage":["https://openalex.org/I197312522","https://openalex.org/I49946491"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dohee Kim","raw_affiliation_strings":["Electrified Systems Control Research Lab, Hyundai Motor Company, Hwaseong, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-7084-3631","affiliations":[{"raw_affiliation_string":"Electrified Systems Control Research Lab, Hyundai Motor Company, Hwaseong, South Korea","institution_ids":["https://openalex.org/I49946491"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039126367","display_name":"Jeong Soo Eo","orcid":"https://orcid.org/0009-0001-5332-1823"},"institutions":[{"id":"https://openalex.org/I49946491","display_name":"Hyundai Motors (South Korea)","ror":"https://ror.org/016kvft77","country_code":"KR","type":"company","lineage":["https://openalex.org/I197312522","https://openalex.org/I49946491"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jeong Soo Eo","raw_affiliation_strings":["Electrified Systems Control Research Lab, Hyundai Motor Company, Hwaseong, South Korea"],"raw_orcid":"https://orcid.org/0009-0001-5332-1823","affiliations":[{"raw_affiliation_string":"Electrified Systems Control Research Lab, Hyundai Motor Company, Hwaseong, South Korea","institution_ids":["https://openalex.org/I49946491"]}]},{"author_position":"last","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":false,"raw_author_name":"Kyoungseok Han","raw_affiliation_strings":["Graduate School of Mechanical Engineering, Kyungpook National University, Daegu, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-4986-2053","affiliations":[{"raw_affiliation_string":"Graduate School of Mechanical Engineering, Kyungpook National University, Daegu, South Korea","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.9906,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.95996416,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"9","issue":"2","first_page":"3154","last_page":"3167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9955000281333923,"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"}},"topics":[{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9955000281333923,"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/T10524","display_name":"Traffic control and management","score":0.9937999844551086,"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/T10821","display_name":"Cardiovascular Function and Risk Factors","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.8863455057144165},{"id":"https://openalex.org/keywords/cruise-control","display_name":"Cruise control","score":0.8042749166488647},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.7035526037216187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6992958784103394},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5627240538597107},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.5299122333526611},{"id":"https://openalex.org/keywords/footprint","display_name":"Footprint","score":0.5130816698074341},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5040153861045837},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.48526903986930847},{"id":"https://openalex.org/keywords/obstacle","display_name":"Obstacle","score":0.42105796933174133},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.37112975120544434},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3573436737060547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33852142095565796},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2596251964569092},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.14637932181358337},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12557947635650635}],"concepts":[{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.8863455057144165},{"id":"https://openalex.org/C113168747","wikidata":"https://www.wikidata.org/wiki/Q507295","display_name":"Cruise control","level":3,"score":0.8042749166488647},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7035526037216187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6992958784103394},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5627240538597107},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.5299122333526611},{"id":"https://openalex.org/C132943942","wikidata":"https://www.wikidata.org/wiki/Q2562511","display_name":"Footprint","level":2,"score":0.5130816698074341},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5040153861045837},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.48526903986930847},{"id":"https://openalex.org/C2776650193","wikidata":"https://www.wikidata.org/wiki/Q264661","display_name":"Obstacle","level":2,"score":0.42105796933174133},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.37112975120544434},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3573436737060547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33852142095565796},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2596251964569092},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14637932181358337},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12557947635650635},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tiv.2023.3347203","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3347203","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"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 Vehicles","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1846496005","display_name":null,"funder_award_id":"NRF-2021R1C1C1003464","funder_id":"https://openalex.org/F4320328359","funder_display_name":"Ministry of Science and ICT, South Korea"},{"id":"https://openalex.org/G6241253631","display_name":null,"funder_award_id":"2021R1A6A1A03043144","funder_id":"https://openalex.org/F4320312071","funder_display_name":"Ministry of Education, Libya"}],"funders":[{"id":"https://openalex.org/F4320312071","display_name":"Ministry of Education, Libya","ror":"https://ror.org/02w030k33"},{"id":"https://openalex.org/F4320328359","display_name":"Ministry of Science and ICT, South Korea","ror":"https://ror.org/01wpjm123"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W124292005","https://openalex.org/W1524886571","https://openalex.org/W1984740071","https://openalex.org/W2045877710","https://openalex.org/W2117402460","https://openalex.org/W2120346558","https://openalex.org/W2155482699","https://openalex.org/W2160741122","https://openalex.org/W2161908751","https://openalex.org/W2170973929","https://openalex.org/W2588911184","https://openalex.org/W2769646558","https://openalex.org/W2810195925","https://openalex.org/W2887532679","https://openalex.org/W2940681554","https://openalex.org/W2941223119","https://openalex.org/W2972923195","https://openalex.org/W2972941110","https://openalex.org/W3007985585","https://openalex.org/W3082508441","https://openalex.org/W3090789943","https://openalex.org/W3095839831","https://openalex.org/W3099578266","https://openalex.org/W3101798601","https://openalex.org/W3101925693","https://openalex.org/W3208705304","https://openalex.org/W4308750860"],"related_works":["https://openalex.org/W4285388621","https://openalex.org/W2771706547","https://openalex.org/W1983059685","https://openalex.org/W1990079087","https://openalex.org/W1607043069","https://openalex.org/W2108009824","https://openalex.org/W1983391308","https://openalex.org/W2080896647","https://openalex.org/W3137434606","https://openalex.org/W4372263373"],"abstract_inverted_index":{"This":[0,33],"work":[1],"demonstrates":[2],"the":[3,12,28,67,101,120,137,143,163,167],"application":[4],"of":[5,31,52,77,123,148,155,166,174,179,191],"deep":[6,115],"neural":[7,116],"networks":[8,117],"(DNN)":[9],"to":[10,66,104,118,159],"alleviate":[11],"computational":[13,121],"complexity":[14],"associated":[15],"with":[16,114],"Model":[17],"Predictive":[18],"Control":[19,70],"(MPC),":[20],"which":[21],"has":[22],"always":[23],"been":[24],"an":[25],"obstacle":[26],"hindering":[27],"practical":[29,131],"adoption":[30],"MPC.":[32],"challenge":[34],"is":[35,55,170,186],"particularly":[36],"critical":[37],"in":[38,146],"applications":[39],"for":[40,130],"autonomous":[41],"vehicles":[42],"where":[43],"achieving":[44],"multiple":[45],"objectives":[46,95],"while":[47,182],"enforcing":[48],"a":[49,62,84],"certain":[50],"number":[51],"system":[53],"constraints":[54,97],"essential.":[56],"We":[57,109],"first":[58],"revisit":[59],"and":[60,90,96,152],"design":[61],"control":[63,86,94,107,144],"algorithm":[64,75,102],"tailored":[65],"Adaptive":[68],"Cruise":[69],"(ACC)":[71],"problem.":[72],"The":[73],"developed":[74],"consists":[76],"two":[78],"distinct":[79,197],"implicit":[80,180],"MPCs,":[81,181],"each":[82],"addressing":[83],"specific":[85],"mode,":[87],"namely":[88],"velocity":[89],"space":[91],"control.":[92],"Multiple":[93],"are":[98],"integrated":[99],"into":[100],"synthesis":[103],"ensure":[105],"satisfactory":[106],"performance.":[108],"further":[110],"adopt":[111],"supervised":[112],"learning":[113],"reduce":[119],"cost":[122],"MPC,":[124],"thereby":[125,194],"making":[126],"MPC":[127],"more":[128],"accessible":[129],"use.":[132],"Simulation":[133],"results":[134],"affirm":[135],"that":[136,178],"DNN-based":[138],"approximated":[139,168],"policy":[140,169],"can":[141],"match":[142],"performance":[145],"terms":[147],"both":[149],"tracking":[150],"precision":[151],"constraint":[153],"satisfaction":[154],"state-of-the-art":[156],"solvers":[157],"dedicated":[158],"optimization":[160],"problems.":[161],"Remarkably,":[162],"execution":[164],"time":[165],"approximately":[171],"one":[172],"order":[173],"magnitude":[175],"lower":[176,188],"than":[177,189],"its":[183,192,196],"memory":[184],"footprint":[185],"significantly":[187],"those":[190],"counterparts,":[193],"emphasizing":[195],"advantages.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":15}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}