{"id":"https://openalex.org/W4286306582","doi":"https://doi.org/10.23919/ascc56756.2022.9828239","title":"Distributed Nash Equilibrium Seeking Algorithms for Uncertain Linear Multi-agent Systems","display_name":"Distributed Nash Equilibrium Seeking Algorithms for Uncertain Linear Multi-agent Systems","publication_year":2022,"publication_date":"2022-05-04","ids":{"openalex":"https://openalex.org/W4286306582","doi":"https://doi.org/10.23919/ascc56756.2022.9828239"},"language":"en","primary_location":{"id":"doi:10.23919/ascc56756.2022.9828239","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828239","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","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":"2022 13th Asian Control Conference (ASCC)","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/A5006923433","display_name":"Yutao Tang","orcid":"https://orcid.org/0000-0002-2708-262X"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yutao Tang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Artificial Intelligence,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5006923433"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":1.2966,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77493429,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2277","last_page":"2281"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12794","display_name":"Adaptive Dynamic Programming Control","score":0.9990000128746033,"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/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.993399977684021,"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/nash-equilibrium","display_name":"Nash equilibrium","score":0.734001100063324},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5616161227226257},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.45348164439201355},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.43810099363327026},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3852524757385254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.294933557510376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.15984705090522766}],"concepts":[{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.734001100063324},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5616161227226257},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45348164439201355},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.43810099363327026},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3852524757385254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.294933557510376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15984705090522766}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ascc56756.2022.9828239","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828239","pdf_url":null,"source":{"id":"https://openalex.org/S4363607827","display_name":"2022 13th Asian Control Conference (ASCC)","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":"2022 13th Asian Control Conference (ASCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7699999809265137,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W201347032","https://openalex.org/W1972221945","https://openalex.org/W2026018281","https://openalex.org/W2034005720","https://openalex.org/W2039404515","https://openalex.org/W2102885431","https://openalex.org/W2128658178","https://openalex.org/W2135493101","https://openalex.org/W2160643434","https://openalex.org/W2604966640","https://openalex.org/W2605811981","https://openalex.org/W2611964096","https://openalex.org/W2901460157","https://openalex.org/W2952167317","https://openalex.org/W2962910407","https://openalex.org/W2967740969","https://openalex.org/W2968630554","https://openalex.org/W2971931235","https://openalex.org/W2973033087","https://openalex.org/W2998429856","https://openalex.org/W3102046265","https://openalex.org/W3104002866","https://openalex.org/W3105353019","https://openalex.org/W4200272562","https://openalex.org/W4205940976","https://openalex.org/W4224119276","https://openalex.org/W4238591275","https://openalex.org/W4255086963","https://openalex.org/W4301791716","https://openalex.org/W4327704805"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,50,89,96,108,114,118],"Nash":[4,38,110],"equilibrium":[5,39,111],"seeking":[6,40],"problem":[7,47,90],"for":[8,82],"a":[9,25,42,79,129],"group":[10],"of":[11,45,53,95,102,113,123],"high-order":[12,69],"players,":[13],"where":[14],"each":[15,54],"player":[16],"is":[17,48,126],"modeled":[18],"as":[19],"an":[20,67],"uncertain":[21,68],"linear":[22],"system":[23],"with":[24,35],"payoff":[26],"function":[27],"depending":[28],"on":[29],"all":[30],"players\u2019":[31],"output":[32],"decisions.":[33],"Compared":[34],"most":[36],"existing":[37],"results,":[41],"distinctive":[43],"feature":[44],"our":[46,124],"that":[49],"decision":[51],"profile":[52],"agent":[55],"fails":[56],"to":[57,87,106],"be":[58,64],"directly":[59],"assignable":[60],"and":[61],"can":[62],"only":[63],"changed":[65],"through":[66],"dynamics":[70],"by":[71,128],"selecting":[72],"some":[73],"admissible":[74],"control":[75],"inputs.":[76],"We":[77],"present":[78],"two-step":[80],"design":[81,125],"distributed":[83],"integral":[84],"feedback":[85],"controller":[86],"solve":[88],"via":[91],"available":[92],"partial":[93],"information":[94],"whole":[97],"multi-agent":[98],"system.":[99],"The":[100,121],"outputs":[101],"players":[103],"are":[104],"shown":[105],"reach":[107],"expected":[109],"irrespective":[112],"unknown":[115],"parameters":[116],"under":[117],"developed":[119],"algorithm.":[120],"efficacy":[122],"verified":[127],"numerical":[130],"example.":[131]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}