{"id":"https://openalex.org/W4386953201","doi":"https://doi.org/10.1109/ccta54093.2023.10252372","title":"Iterative Learning Model Predictive Control for Thermal Management of Urban Air Mobility Vehicles*","display_name":"Iterative Learning Model Predictive Control for Thermal Management of Urban Air Mobility Vehicles*","publication_year":2023,"publication_date":"2023-08-16","ids":{"openalex":"https://openalex.org/W4386953201","doi":"https://doi.org/10.1109/ccta54093.2023.10252372"},"language":"en","primary_location":{"id":"doi:10.1109/ccta54093.2023.10252372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta54093.2023.10252372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-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/A5010452839","display_name":"Reid D. Smith","orcid":"https://orcid.org/0000-0001-8928-086X"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Reid D. Smith","raw_affiliation_strings":["University of Illinois at Urbana-Champaign,Mechanical Science and Engineering Department,Urbana,IL,61801"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign,Mechanical Science and Engineering Department,Urbana,IL,61801","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080517179","display_name":"Andrew G. Alleyne","orcid":"https://orcid.org/0000-0002-1347-9669"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew G. Alleyne","raw_affiliation_strings":["University of Minnesota,Mechanical Engineering Department,Minneapolis,MN,55455"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Minnesota,Mechanical Engineering Department,Minneapolis,MN,55455","institution_ids":["https://openalex.org/I130238516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3279,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56977179,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"948","last_page":"954"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11749","display_name":"Iterative Learning Control Systems","score":0.9998999834060669,"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/T11749","display_name":"Iterative Learning Control Systems","score":0.9998999834060669,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9958000183105469,"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/T13644","display_name":"Control Systems in Engineering","score":0.9553999900817871,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/iterative-learning-control","display_name":"Iterative learning control","score":0.8697021007537842},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.7668320536613464},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.720034658908844},{"id":"https://openalex.org/keywords/powertrain","display_name":"Powertrain","score":0.7157527804374695},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5461805462837219},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5281320214271545},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5272024273872375},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.444199800491333},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4313427805900574},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.4264046549797058},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4178513288497925},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4018462002277374},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.38483762741088867},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26696768403053284},{"id":"https://openalex.org/keywords/torque","display_name":"Torque","score":0.21647590398788452},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17230656743049622},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14132145047187805},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13399192690849304}],"concepts":[{"id":"https://openalex.org/C117619785","wikidata":"https://www.wikidata.org/wiki/Q6094414","display_name":"Iterative learning control","level":3,"score":0.8697021007537842},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.7668320536613464},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.720034658908844},{"id":"https://openalex.org/C76047896","wikidata":"https://www.wikidata.org/wiki/Q1786258","display_name":"Powertrain","level":3,"score":0.7157527804374695},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5461805462837219},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5281320214271545},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5272024273872375},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.444199800491333},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4313427805900574},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.4264046549797058},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4178513288497925},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4018462002277374},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.38483762741088867},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26696768403053284},{"id":"https://openalex.org/C144171764","wikidata":"https://www.wikidata.org/wiki/Q48103","display_name":"Torque","level":2,"score":0.21647590398788452},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17230656743049622},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14132145047187805},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13399192690849304},{"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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":1,"locations":[{"id":"doi:10.1109/ccta54093.2023.10252372","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta54093.2023.10252372","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W177093312","https://openalex.org/W2039635255","https://openalex.org/W2041242313","https://openalex.org/W2069705511","https://openalex.org/W2085147758","https://openalex.org/W2160985456","https://openalex.org/W2588552596","https://openalex.org/W2802797556","https://openalex.org/W2809961337","https://openalex.org/W2885696645","https://openalex.org/W2903560877","https://openalex.org/W2921779020","https://openalex.org/W2946226637","https://openalex.org/W2963683522","https://openalex.org/W2970577712","https://openalex.org/W2982454401","https://openalex.org/W3118071110","https://openalex.org/W3128714894","https://openalex.org/W3168913804","https://openalex.org/W3183475718","https://openalex.org/W3184327546","https://openalex.org/W4294692038","https://openalex.org/W6660458221","https://openalex.org/W6753598091","https://openalex.org/W6757139049","https://openalex.org/W6798705234"],"related_works":["https://openalex.org/W4388980375","https://openalex.org/W2142639873","https://openalex.org/W2360794504","https://openalex.org/W2356035581","https://openalex.org/W4386994694","https://openalex.org/W3097253201","https://openalex.org/W2069654098","https://openalex.org/W4236614235","https://openalex.org/W3097605578","https://openalex.org/W2761624296"],"abstract_inverted_index":{"With":[0],"increasing":[1],"interests":[2],"in":[3,172,201],"Urban":[4],"Air":[5],"Mobility":[6],"(UAM)":[7],"vehicles,":[8,77],"control":[9,45,50,58,79,193],"techniques":[10],"tailored":[11],"to":[12,17,29,52,65,95,143,147,196],"UAM":[13,34,62,88,178],"must":[14],"be":[15,108],"developed":[16],"meet":[18],"the":[19,27,57,66,69,78,81,136,140,145,153,188],"demands":[20],"of":[21,33,42,56,80,206],"these":[22,76],"electrified":[23],"vehicles.":[24,63],"By":[25],"utilizing":[26],"point":[28],"point,":[30],"repetitive":[31],"nature":[32],"vehicle":[35],"flights,":[36],"this":[37,115],"paper":[38,116],"uses":[39],"a":[40,54,118,160,167,177,202],"combination":[41],"iterative":[43,189],"learning":[44,190],"(ILC)":[46],"and":[47,72,83,92,180],"model":[48,191],"predictive":[49,192],"(MPC)":[51],"address":[53],"subset":[55],"challenges":[59],"present":[60],"within":[61],"Due":[64],"coupling":[67],"between":[68],"mechanical,":[70],"electrical,":[71],"thermal":[73,84,173,181],"domains":[74],"on":[75,98,135],"powertrain":[82,179],"management":[85,182],"systems":[86],"for":[87,122,176],"vehicles":[89],"is":[90],"challenging":[91],"can":[93,170],"lead":[94],"constraint":[96,119,137,174,199],"violations":[97,138,175,200],"component":[99,105],"power":[100],"levels":[101],"or":[102],"temperatures.":[103],"As":[104],"temperatures":[106],"may":[107],"governed":[109],"by":[110],"constraints":[111,130],"rather":[112],"than":[113],"references,":[114],"presents":[117],"tightening":[120,133],"technique":[121],"MPC":[123,146,169],"through":[124],"an":[125],"ILC":[126],"update":[127],"law.":[128],"The":[129],"are":[131],"iteratively":[132],"based":[134],"from":[139,156],"last":[141],"iteration":[142],"encourage":[144],"choose":[148],"trajectories":[149],"which":[150],"will":[151],"prevent":[152],"true":[154],"system":[155,183],"violating":[157],"constraints.":[158],"For":[159],"simulated":[161],"case":[162],"study,":[163],"we":[164],"demonstrate":[165],"that":[166],"traditional":[168],"result":[171],"with":[184],"fixed":[185],"constraints;":[186],"however,":[187],"approach":[194],"converges":[195],"near":[197],"zero":[198],"relatively":[203],"short":[204],"number":[205],"flights.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-09T07:52:08.696243","created_date":"2025-10-10T00:00:00"}