{"id":"https://openalex.org/W4391019860","doi":"https://doi.org/10.1109/cdc49753.2023.10383277","title":"Learning Optimal Robust Control of Connected Vehicles in Mixed Traffic Flow","display_name":"Learning Optimal Robust Control of Connected Vehicles in Mixed Traffic Flow","publication_year":2023,"publication_date":"2023-12-13","ids":{"openalex":"https://openalex.org/W4391019860","doi":"https://doi.org/10.1109/cdc49753.2023.10383277"},"language":"en","primary_location":{"id":"doi:10.1109/cdc49753.2023.10383277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc49753.2023.10383277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","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/A5108147322","display_name":"Jie Li","orcid":"https://orcid.org/0009-0006-6805-2239"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jie Li","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China","School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100388781","display_name":"Jiawei Wang","orcid":"https://orcid.org/0000-0002-8844-4612"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Wang","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China","School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100747108","display_name":"Shengbo Eben Li","orcid":"https://orcid.org/0000-0003-4923-3633"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengbo Eben Li","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China","School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031855986","display_name":"Keqiang Li","orcid":"https://orcid.org/0000-0002-9333-7416"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keqiang Li","raw_affiliation_strings":["School of Vehicle and Mobility, Tsinghua University,Beijing,China","School of Vehicle and Mobility, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University,Beijing,China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Vehicle and Mobility, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108147322"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.5862,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68658591,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1112","last_page":"1117"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10524","display_name":"Traffic control and management","score":1.0,"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/T10524","display_name":"Traffic control and management","score":1.0,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.994700014591217,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.5840582847595215},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5523470640182495},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5461708903312683},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5105939507484436},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.48287156224250793},{"id":"https://openalex.org/keywords/robust-control","display_name":"Robust control","score":0.4773856997489929},{"id":"https://openalex.org/keywords/traffic-flow","display_name":"Traffic flow (computer networking)","score":0.472001314163208},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46109285950660706},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.3467866778373718},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.3275643289089203},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2825285792350769},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22375434637069702},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1461925506591797},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.10505315661430359}],"concepts":[{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.5840582847595215},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5523470640182495},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5461708903312683},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5105939507484436},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.48287156224250793},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.4773856997489929},{"id":"https://openalex.org/C207512268","wikidata":"https://www.wikidata.org/wiki/Q3074551","display_name":"Traffic flow (computer networking)","level":2,"score":0.472001314163208},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46109285950660706},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.3467866778373718},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3275643289089203},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2825285792350769},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22375434637069702},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1461925506591797},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.10505315661430359},{"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/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc49753.2023.10383277","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc49753.2023.10383277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 62nd IEEE Conference on Decision and Control (CDC)","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":25,"referenced_works":["https://openalex.org/W1968719911","https://openalex.org/W2008102069","https://openalex.org/W2109640889","https://openalex.org/W2116479681","https://openalex.org/W2484646121","https://openalex.org/W2498694880","https://openalex.org/W2566775815","https://openalex.org/W2568214755","https://openalex.org/W2611350544","https://openalex.org/W2742016042","https://openalex.org/W2793780249","https://openalex.org/W2906634842","https://openalex.org/W3005837809","https://openalex.org/W3039470745","https://openalex.org/W3087081411","https://openalex.org/W3105793542","https://openalex.org/W3106313228","https://openalex.org/W3118619787","https://openalex.org/W3193464862","https://openalex.org/W3206719808","https://openalex.org/W3210590548","https://openalex.org/W4312053942","https://openalex.org/W4362650413","https://openalex.org/W4383113421","https://openalex.org/W4385923102"],"related_works":["https://openalex.org/W2807251790","https://openalex.org/W2799406489","https://openalex.org/W2049792449","https://openalex.org/W986251431","https://openalex.org/W563727013","https://openalex.org/W2502468346","https://openalex.org/W2963420405","https://openalex.org/W2187485469","https://openalex.org/W3125571551","https://openalex.org/W2215918441"],"abstract_inverted_index":{"Connected":[0],"and":[1,61,138],"automated":[2],"vehicles":[3,18],"(CAVs)":[4],"technologies":[5],"promise":[6],"to":[7,41,91,134],"attenuate":[8],"undesired":[9],"traffic":[10,15,50,136,140],"disturbances.":[11],"However,":[12],"in":[13,111],"mixed":[14,49],"where":[16],"human-driven":[17],"(HDVs)":[19],"also":[20],"exist,":[21],"the":[22,37,43,55,68,101,105,118,121,128,132],"nonlinear":[23,48],"human-driving":[24],"behavior":[25],"has":[26],"brought":[27],"critical":[28],"challenges":[29],"for":[30,47,71],"effective":[31],"CAV":[32],"control.":[33],"This":[34],"paper":[35],"employs":[36],"policy":[38,86],"iteration":[39,87],"method":[40],"learn":[42],"optimal":[44],"robust":[45,103],"controller":[46,130],"systems.":[51],"Precisely,":[52],"we":[53],"consider":[54],"<tex":[56],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[57],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$H_{\\infty}$</tex>":[58],"control":[59],"framework":[60],"formulate":[62],"it":[63],"as":[64],"a":[65,77,81,85],"zero-sum":[66],"game,":[67],"equivalent":[69],"condition":[70],"whose":[72],"solution":[73],"is":[74,89,108],"converted":[75],"into":[76],"Hamilton-Jacobi":[78],"inequality":[79],"with":[80,95],"Hamilto-nian":[82],"constraint.":[83,123],"Then,":[84],"algorithm":[88],"designed":[90],"generate":[92],"stabilizing":[93],"controllers":[94],"desired":[96],"attenuation":[97,106],"performance.":[98],"Based":[99],"on":[100],"updated":[102],"controller,":[104],"level":[107],"further":[109],"optimized":[110],"sum":[112],"of":[113,120],"squares":[114],"program":[115],"by":[116],"leveraging":[117],"gap":[119],"Hamiltonian":[122],"Simulation":[124],"studies":[125],"verify":[126],"that":[127],"obtained":[129],"enables":[131],"CAVs":[133],"dampen":[135],"perturbations":[137],"smooth":[139],"flow.":[141]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}