{"id":"https://openalex.org/W2760836141","doi":"https://doi.org/10.1109/ccta.2017.8062521","title":"Global optimization of local weights in mixed-cost mpc for minimum time vehicle maneuvering","display_name":"Global optimization of local weights in mixed-cost mpc for minimum time vehicle maneuvering","publication_year":2017,"publication_date":"2017-08-01","ids":{"openalex":"https://openalex.org/W2760836141","doi":"https://doi.org/10.1109/ccta.2017.8062521","mag":"2760836141"},"language":"en","primary_location":{"id":"doi:10.1109/ccta.2017.8062521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta.2017.8062521","pdf_url":null,"source":{"id":"https://openalex.org/S4306498159","display_name":"2017 IEEE Conference on Control Technology and Applications (CCTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 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/A5068094617","display_name":"Jeffery R. Anderson","orcid":null},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jeffery R. Anderson","raw_affiliation_strings":["Applied Dynamics & Control Group at the Clemson University, International Center for Automotive Research, Greenville, SC, USA"],"affiliations":[{"raw_affiliation_string":"Applied Dynamics & Control Group at the Clemson University, International Center for Automotive Research, Greenville, SC, USA","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061351240","display_name":"Beshah Ayalew","orcid":"https://orcid.org/0000-0002-3759-3271"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Beshah Ayalew","raw_affiliation_strings":["Applied Dynamics & Control Group at the Clemson University, International Center for Automotive Research, Greenville, SC, USA"],"affiliations":[{"raw_affiliation_string":"Applied Dynamics & Control Group at the Clemson University, International Center for Automotive Research, Greenville, SC, USA","institution_ids":["https://openalex.org/I8078737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5068094617"],"corresponding_institution_ids":["https://openalex.org/I8078737"],"apc_list":null,"apc_paid":null,"fwci":0.4702,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.49781022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"560","last_page":"565"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10805","display_name":"Vehicle Dynamics and Control Systems","score":0.9991999864578247,"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":0.9991999864578247,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9988999962806702,"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/T12810","display_name":"Real-time simulation and control systems","score":0.9976000189781189,"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":0.7952009439468384},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6914824843406677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5656260848045349},{"id":"https://openalex.org/keywords/horizon","display_name":"Horizon","score":0.5597345232963562},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5113074779510498},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5101699829101562},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4818536043167114},{"id":"https://openalex.org/keywords/feasible-region","display_name":"Feasible region","score":0.44271132349967957},{"id":"https://openalex.org/keywords/inner-loop","display_name":"Inner loop","score":0.44208836555480957},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4373874366283417},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4363187551498413},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.42322731018066406},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2929588556289673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21489182114601135},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.19624850153923035},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09215086698532104}],"concepts":[{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.7952009439468384},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6914824843406677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5656260848045349},{"id":"https://openalex.org/C159176650","wikidata":"https://www.wikidata.org/wiki/Q43261","display_name":"Horizon","level":2,"score":0.5597345232963562},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5113074779510498},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5101699829101562},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4818536043167114},{"id":"https://openalex.org/C177067428","wikidata":"https://www.wikidata.org/wiki/Q17013331","display_name":"Feasible region","level":2,"score":0.44271132349967957},{"id":"https://openalex.org/C58716799","wikidata":"https://www.wikidata.org/wiki/Q6035648","display_name":"Inner loop","level":3,"score":0.44208836555480957},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4373874366283417},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4363187551498413},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.42322731018066406},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2929588556289673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21489182114601135},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.19624850153923035},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09215086698532104},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccta.2017.8062521","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccta.2017.8062521","pdf_url":null,"source":{"id":"https://openalex.org/S4306498159","display_name":"2017 IEEE Conference on Control Technology and Applications (CCTA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE Conference on Control Technology and Applications (CCTA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W56139255","https://openalex.org/W604093525","https://openalex.org/W1863509632","https://openalex.org/W1976729497","https://openalex.org/W1984482354","https://openalex.org/W1999047346","https://openalex.org/W1999870319","https://openalex.org/W2000478733","https://openalex.org/W2005125729","https://openalex.org/W2030734968","https://openalex.org/W2035298324","https://openalex.org/W2038760325","https://openalex.org/W2041404993","https://openalex.org/W2061272090","https://openalex.org/W2087986882","https://openalex.org/W2107345353","https://openalex.org/W2118927982","https://openalex.org/W2126008250","https://openalex.org/W2130527887","https://openalex.org/W2131424409","https://openalex.org/W2148207195","https://openalex.org/W2156174663","https://openalex.org/W2157659001","https://openalex.org/W2162218551","https://openalex.org/W2190694516","https://openalex.org/W2314889402","https://openalex.org/W2486334997","https://openalex.org/W4302414834"],"related_works":["https://openalex.org/W2799225442","https://openalex.org/W2895956935","https://openalex.org/W2343653674","https://openalex.org/W3104770499","https://openalex.org/W4392186863","https://openalex.org/W4312509357","https://openalex.org/W2954645219","https://openalex.org/W3092127437","https://openalex.org/W2013038594","https://openalex.org/W2000609527"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"a":[3,13,17,82,99,109,149,159],"Model":[4],"Predictive":[5],"Control":[6],"(MPC)":[7],"strategy":[8],"is":[9,25,33,102,106],"utilized":[10],"to":[11,52,65,85,158],"model":[12],"professional":[14,45],"driver":[15],"negotiating":[16],"set":[18],"driving":[19],"circuit":[20],"in":[21,50],"minimum":[22],"time.":[23],"MPC":[24,66,75,120,135,163],"inherently":[26],"suboptimal":[27],"because":[28],"not":[29],"all":[30],"future":[31],"information":[32],"incorporated":[34],"into":[35],"each":[36,74],"horizon":[37],"of":[38,61,73,94,132],"the":[39,62,69,91,114,119,123,126,130,133],"control":[40],"scheme.":[41],"Motivated":[42],"by":[43,67,142],"how":[44],"drivers":[46],"learn":[47],"race":[48],"circuits":[49],"order":[51],"best":[53],"exploit":[54],"its":[55],"features,":[56],"we":[57],"will":[58,78,138],"alleviate":[59],"some":[60],"suboptimality":[63],"inherent":[64],"optimizing":[68,129],"local":[70,83,134],"cost":[71],"function":[72],"horizon.":[76],"This":[77,104],"allows":[79],"objectives":[80],"over":[81,98],"segment":[84],"be":[86,139,155],"properly":[87],"adjusted":[88],"such":[89],"that":[90,141],"global":[92],"goal":[93],"minimizing":[95],"maneuvering":[96],"time":[97,161],"full":[100],"maneuver":[101],"approximated.":[103],"problem":[105,121],"solved":[107],"utilizing":[108],"cascaded":[110],"optimization":[111],"structure":[112],"with":[113],"inner":[115],"loop":[116,128],"recursively":[117],"solving":[118],"around":[122],"track":[124],"and":[125],"outer":[127],"weights":[131,144],"horizons.":[136],"It":[137],"shown":[140],"varying":[143],"at":[145],"key":[146],"locations":[147],"on":[148],"particular":[150],"maneuver,":[151],"performance":[152],"gains":[153],"can":[154],"realized":[156],"compared":[157],"traditional":[160],"optimal":[162],"strategy.":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}