{"id":"https://openalex.org/W2923512171","doi":"https://doi.org/10.1109/tnnls.2019.2900592","title":"Leader Selection via Supermodular Game for Formation Control in Multiagent Systems","display_name":"Leader Selection via Supermodular Game for Formation Control in Multiagent Systems","publication_year":2019,"publication_date":"2019-03-21","ids":{"openalex":"https://openalex.org/W2923512171","doi":"https://doi.org/10.1109/tnnls.2019.2900592","mag":"2923512171","pmid":"https://pubmed.ncbi.nlm.nih.gov/30908244"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2019.2900592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2900592","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101452675","display_name":"Lei Xue","orcid":"https://orcid.org/0000-0002-2510-1188"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Xue","raw_affiliation_strings":["Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing, China","School of Automation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-2510-1188","affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085757528","display_name":"Xianghui Cao","orcid":"https://orcid.org/0000-0002-6771-0571"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianghui Cao","raw_affiliation_strings":["Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing, China","School of Automation, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-6771-0571","affiliations":[{"raw_affiliation_string":"Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, Nanjing, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Automation, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.5818,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.84077634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"30","issue":"12","first_page":"3656","last_page":"3664"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9898999929428101,"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/T11182","display_name":"Auction Theory and Applications","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.7302812337875366},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.697045087814331},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.6248588562011719},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.6098538637161255},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5883057713508606},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.5391064286231995},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.47832298278808594},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.45487603545188904},{"id":"https://openalex.org/keywords/strategy","display_name":"Strategy","score":0.44600290060043335},{"id":"https://openalex.org/keywords/equilibrium-selection","display_name":"Equilibrium selection","score":0.4132373332977295},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.3245111107826233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31059882044792175},{"id":"https://openalex.org/keywords/repeated-game","display_name":"Repeated game","score":0.22688564658164978},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20933392643928528},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.0836763083934784}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7302812337875366},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.697045087814331},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.6248588562011719},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.6098538637161255},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5883057713508606},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5391064286231995},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.47832298278808594},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.45487603545188904},{"id":"https://openalex.org/C88959737","wikidata":"https://www.wikidata.org/wiki/Q1546627","display_name":"Strategy","level":3,"score":0.44600290060043335},{"id":"https://openalex.org/C164407509","wikidata":"https://www.wikidata.org/wiki/Q5384490","display_name":"Equilibrium selection","level":4,"score":0.4132373332977295},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3245111107826233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31059882044792175},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.22688564658164978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20933392643928528},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0836763083934784},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2019.2900592","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2019.2900592","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:30908244","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30908244","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1999778644","display_name":null,"funder_award_id":"BK20180361","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G4837342209","display_name":null,"funder_award_id":"61573103","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7531542208","display_name":null,"funder_award_id":"61806052","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8243308913","display_name":null,"funder_award_id":"BK20180012","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W389907844","https://openalex.org/W1972768959","https://openalex.org/W1987348268","https://openalex.org/W1998742478","https://openalex.org/W2044079487","https://openalex.org/W2086977346","https://openalex.org/W2101420429","https://openalex.org/W2103151730","https://openalex.org/W2108383324","https://openalex.org/W2109583010","https://openalex.org/W2111140566","https://openalex.org/W2118247617","https://openalex.org/W2129579944","https://openalex.org/W2131181636","https://openalex.org/W2152170081","https://openalex.org/W2259070689","https://openalex.org/W2328033575","https://openalex.org/W2343356083","https://openalex.org/W2390714945","https://openalex.org/W2405050918","https://openalex.org/W2463523319","https://openalex.org/W2504196352","https://openalex.org/W2536673720","https://openalex.org/W2550053784","https://openalex.org/W2591808511","https://openalex.org/W2592981353","https://openalex.org/W2743498067","https://openalex.org/W2750126382","https://openalex.org/W2753943679","https://openalex.org/W2759849592","https://openalex.org/W2772589676","https://openalex.org/W2779486833","https://openalex.org/W2883464943","https://openalex.org/W2907102091","https://openalex.org/W2963300745","https://openalex.org/W3099132910","https://openalex.org/W3099523636","https://openalex.org/W3100228804","https://openalex.org/W3106429777","https://openalex.org/W4256046955"],"related_works":["https://openalex.org/W1994974439","https://openalex.org/W2025767136","https://openalex.org/W2408729172","https://openalex.org/W4315489088","https://openalex.org/W4299551322","https://openalex.org/W2013767790","https://openalex.org/W4312141693","https://openalex.org/W2037619003","https://openalex.org/W2478545307","https://openalex.org/W1985823893"],"abstract_inverted_index":{"Multiagent":[0],"systems":[1],"(MASs)":[2],"are":[3],"usually":[4],"applied":[5],"with":[6],"agents":[7,110],"classified":[8],"into":[9],"leaders":[10,16,48,63,115],"and":[11,54,91],"followers,":[12],"where":[13],"selecting":[14],"appropriate":[15],"is":[17],"an":[18],"important":[19],"issue":[20],"for":[21,86,108],"formation":[22,52],"control":[23],"applications.":[24],"In":[25,96],"this":[26],"paper,":[27],"we":[28,81,105],"investigate":[29],"two":[30],"leader":[31,88],"selection":[32,89],"problems":[33,90],"in":[34],"second-order":[35],"MAS,":[36],"namely,":[37],"the":[38,51,55,59,87,103,109],"problem":[39,56],"of":[40,47,57,62,69,102],"choosing":[41,58],"up":[42],"to":[43,49,64,77,98,111,113],"a":[44,66,73,83],"given":[45],"number":[46,61],"minimize":[50],"error":[53],"minimum":[60],"achieve":[65],"tolerated":[67],"level":[68],"error.":[70],"We":[71],"propose":[72,106],"game":[74,85],"theoretical":[75],"method":[76,127],"address":[78],"them.":[79],"Specifically,":[80],"design":[82],"supermodular":[84],"theoretically":[92],"prove":[93],"its":[94],"supermodularity.":[95],"order":[97],"reach":[99],"Nash":[100],"equilibrium":[101],"game,":[104],"strategies":[107],"learn":[112],"select":[114],"based":[116],"on":[117],"stochastic":[118],"fictitious":[119],"play.":[120],"Extensive":[121],"simulation":[122],"results":[123],"demonstrate":[124],"that":[125],"our":[126],"outperforms":[128],"existing":[129],"ones.":[130]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
