{"id":"https://openalex.org/W2734351487","doi":"https://doi.org/10.23919/acc.2017.7963356","title":"Cooperative optimal output regulation of multi-agent systems using adaptive dynamic programming","display_name":"Cooperative optimal output regulation of multi-agent systems using adaptive dynamic programming","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2734351487","doi":"https://doi.org/10.23919/acc.2017.7963356","mag":"2734351487"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2017.7963356","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","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/A5040120960","display_name":"Weinan Gao","orcid":"https://orcid.org/0000-0001-7921-018X"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Weinan Gao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New York University, Brooklyn, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067046312","display_name":"Zhong\u2010Ping Jiang","orcid":"https://orcid.org/0000-0002-4868-9359"},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhong-Ping Jiang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, New York University, Brooklyn, NY, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, New York University, Brooklyn, NY, USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016137188","display_name":"Frank L. Lewis","orcid":"https://orcid.org/0000-0003-4074-1615"},"institutions":[{"id":"https://openalex.org/I189196454","display_name":"The University of Texas at Arlington","ror":"https://ror.org/019kgqr73","country_code":"US","type":"education","lineage":["https://openalex.org/I189196454"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Frank L. Lewis","raw_affiliation_strings":["UTA Research Institute, The University of Texas at Arlington, Texas, USA"],"affiliations":[{"raw_affiliation_string":"UTA Research Institute, The University of Texas at Arlington, Texas, USA","institution_ids":["https://openalex.org/I189196454"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044079782","display_name":"Yebin Wang","orcid":"https://orcid.org/0000-0001-7209-7866"},"institutions":[{"id":"https://openalex.org/I4210159266","display_name":"Mitsubishi Electric (United States)","ror":"https://ror.org/053jnhe44","country_code":"US","type":"company","lineage":["https://openalex.org/I1306287861","https://openalex.org/I4210133125","https://openalex.org/I4210159266"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yebin Wang","raw_affiliation_strings":["Mitsubishi Electric Research Laboratories, Cambridge, MA, USA"],"affiliations":[{"raw_affiliation_string":"Mitsubishi Electric Research Laboratories, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210159266"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5040120960"],"corresponding_institution_ids":["https://openalex.org/I57206974"],"apc_list":null,"apc_paid":null,"fwci":0.7133,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.7311437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2674","last_page":"2679"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9510999917984009,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11886","display_name":"Agricultural risk and resilience","score":0.9337999820709229,"subfield":{"id":"https://openalex.org/subfields/1111","display_name":"Soil Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/dynamic-programming","display_name":"Dynamic programming","score":0.7383131980895996},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.711858332157135},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.6595154404640198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6560152769088745},{"id":"https://openalex.org/keywords/cruise-control","display_name":"Cruise control","score":0.6451404094696045},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.6416651010513306},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.530007004737854},{"id":"https://openalex.org/keywords/cooperative-adaptive-cruise-control","display_name":"Cooperative Adaptive Cruise Control","score":0.5175923109054565},{"id":"https://openalex.org/keywords/optimal-control","display_name":"Optimal control","score":0.43924859166145325},{"id":"https://openalex.org/keywords/adaptive-system","display_name":"Adaptive system","score":0.42814701795578003},{"id":"https://openalex.org/keywords/regulator","display_name":"Regulator","score":0.42541709542274475},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.4189668893814087},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.40506511926651},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.36522847414016724},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33522331714630127},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2069530487060547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14284977316856384},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11549150943756104},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10315811634063721}],"concepts":[{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.7383131980895996},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.711858332157135},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6595154404640198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6560152769088745},{"id":"https://openalex.org/C113168747","wikidata":"https://www.wikidata.org/wiki/Q507295","display_name":"Cruise control","level":3,"score":0.6451404094696045},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.6416651010513306},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.530007004737854},{"id":"https://openalex.org/C2780150632","wikidata":"https://www.wikidata.org/wiki/Q5167872","display_name":"Cooperative Adaptive Cruise Control","level":4,"score":0.5175923109054565},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.43924859166145325},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.42814701795578003},{"id":"https://openalex.org/C6929976","wikidata":"https://www.wikidata.org/wiki/Q3771881","display_name":"Regulator","level":3,"score":0.42541709542274475},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.4189668893814087},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.40506511926651},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.36522847414016724},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33522331714630127},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2069530487060547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14284977316856384},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11549150943756104},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10315811634063721},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2017.7963356","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963356","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","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":32,"referenced_works":["https://openalex.org/W165924882","https://openalex.org/W1515851193","https://openalex.org/W1573503290","https://openalex.org/W1972243698","https://openalex.org/W1972809999","https://openalex.org/W1991095535","https://openalex.org/W1991638565","https://openalex.org/W1994829382","https://openalex.org/W2014558518","https://openalex.org/W2036826525","https://openalex.org/W2037025184","https://openalex.org/W2086977346","https://openalex.org/W2095455835","https://openalex.org/W2095877777","https://openalex.org/W2097253853","https://openalex.org/W2124234993","https://openalex.org/W2132596084","https://openalex.org/W2139780556","https://openalex.org/W2148439597","https://openalex.org/W2152161277","https://openalex.org/W2165726932","https://openalex.org/W2167675457","https://openalex.org/W2171472775","https://openalex.org/W2322092304","https://openalex.org/W2333120204","https://openalex.org/W2464333320","https://openalex.org/W2468232490","https://openalex.org/W2498677259","https://openalex.org/W2508598219","https://openalex.org/W4213367573","https://openalex.org/W4298022490","https://openalex.org/W6724734965"],"related_works":["https://openalex.org/W4239082859","https://openalex.org/W2810760421","https://openalex.org/W2179921393","https://openalex.org/W2777953498","https://openalex.org/W2124723444","https://openalex.org/W2895992789","https://openalex.org/W1496120623","https://openalex.org/W2116446771","https://openalex.org/W1974639949","https://openalex.org/W2915987858"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,39],"novel":[4],"solution":[5],"to":[6,22,24,37],"the":[7,46,55],"adaptive":[8,41,64],"optimal":[9],"output":[10,43],"regulation":[11],"problem":[12],"of":[13,48,54,67],"continuous-time":[14],"linear":[15],"multi-agent":[16],"systems.":[17],"A":[18,31],"key":[19],"strategy":[20],"is":[21,35,60],"resort":[23],"reinforcement":[25],"learning":[26],"and":[27,69],"approximate/adaptive":[28],"dynamic":[29],"programming.":[30],"data-driven,":[32],"non-model-based":[33],"algorithm":[34,59],"given":[36],"design":[38],"distributed":[40],"suboptimal":[42],"regulator":[44],"in":[45],"presence":[47],"unknown":[49],"system":[50],"dynamics.":[51],"The":[52],"effectiveness":[53],"proposed":[56],"computational":[57],"control":[58,66],"demonstrated":[61],"via":[62],"cooperative":[63],"cruise":[65],"connected":[68],"autonomous":[70],"vehicles.":[71]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}