{"id":"https://openalex.org/W4286306270","doi":"https://doi.org/10.23919/ascc56756.2022.9828279","title":"A \u03b5-Nash equilibrium in convex strategy set in linear dynamic games with input time-delay","display_name":"A \u03b5-Nash equilibrium in convex strategy set in linear dynamic games with input time-delay","publication_year":2022,"publication_date":"2022-05-04","ids":{"openalex":"https://openalex.org/W4286306270","doi":"https://doi.org/10.23919/ascc56756.2022.9828279"},"language":"en","primary_location":{"id":"doi:10.23919/ascc56756.2022.9828279","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828279","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/A5042363965","display_name":"Jingyi Zhao","orcid":"https://orcid.org/0000-0003-3951-1871"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingyi Zhao","raw_affiliation_strings":["Dalian University of Technology,School of Control Science and Engineering,Dalian,China,116024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Control Science and Engineering,Dalian,China,116024","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077800355","display_name":"Daijun Liu","orcid":"https://orcid.org/0000-0002-0993-0832"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Daijun Liu","raw_affiliation_strings":["China Air-Borne Missile Academy,Luoyang,China,471009"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Air-Borne Missile Academy,Luoyang,China,471009","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030683559","display_name":"Yaowei Fu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yaowei Fu","raw_affiliation_strings":["China Air-Borne Missile Academy,Luoyang,China,471009"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Air-Borne Missile Academy,Luoyang,China,471009","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037223666","display_name":"Yifei Zhang","orcid":"https://orcid.org/0000-0002-1172-7710"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yifei Zhang","raw_affiliation_strings":["China Air-Borne Missile Academy,Luoyang,China,471009"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Air-Borne Missile Academy,Luoyang,China,471009","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032864932","display_name":"Wenya Zhou","orcid":"https://orcid.org/0000-0001-5326-0170"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenya Zhou","raw_affiliation_strings":["Dalian University of Technology,School of Aeronautics and Astronautics,Dalian,China,116024"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dalian University of Technology,School of Aeronautics and Astronautics,Dalian,China,116024","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09158285,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1688","last_page":"1693"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11031","display_name":"Game Theory and Applications","score":0.995199978351593,"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":0.995199978351593,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9948999881744385,"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":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.726855456829071},{"id":"https://openalex.org/keywords/best-response","display_name":"Best response","score":0.573328971862793},{"id":"https://openalex.org/keywords/sequential-game","display_name":"Sequential game","score":0.5466389060020447},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5280136466026306},{"id":"https://openalex.org/keywords/epsilon-equilibrium","display_name":"Epsilon-equilibrium","score":0.5048747658729553},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4899100661277771},{"id":"https://openalex.org/keywords/stochastic-game","display_name":"Stochastic game","score":0.4652382433414459},{"id":"https://openalex.org/keywords/correlated-equilibrium","display_name":"Correlated equilibrium","score":0.44960102438926697},{"id":"https://openalex.org/keywords/risk-dominance","display_name":"Risk dominance","score":0.4323955178260803},{"id":"https://openalex.org/keywords/strategy","display_name":"Strategy","score":0.42085132002830505},{"id":"https://openalex.org/keywords/repeated-game","display_name":"Repeated game","score":0.39673948287963867},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3773972690105438},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.3313288688659668},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.32365164160728455},{"id":"https://openalex.org/keywords/equilibrium-selection","display_name":"Equilibrium selection","score":0.2681303024291992}],"concepts":[{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.726855456829071},{"id":"https://openalex.org/C32407928","wikidata":"https://www.wikidata.org/wiki/Q2733833","display_name":"Best response","level":3,"score":0.573328971862793},{"id":"https://openalex.org/C73795354","wikidata":"https://www.wikidata.org/wiki/Q287618","display_name":"Sequential game","level":3,"score":0.5466389060020447},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5280136466026306},{"id":"https://openalex.org/C141824439","wikidata":"https://www.wikidata.org/wiki/Q307521","display_name":"Epsilon-equilibrium","level":4,"score":0.5048747658729553},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4899100661277771},{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.4652382433414459},{"id":"https://openalex.org/C163630976","wikidata":"https://www.wikidata.org/wiki/Q964667","display_name":"Correlated equilibrium","level":5,"score":0.44960102438926697},{"id":"https://openalex.org/C22349654","wikidata":"https://www.wikidata.org/wiki/Q2039354","display_name":"Risk dominance","level":5,"score":0.4323955178260803},{"id":"https://openalex.org/C88959737","wikidata":"https://www.wikidata.org/wiki/Q1546627","display_name":"Strategy","level":3,"score":0.42085132002830505},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.39673948287963867},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3773972690105438},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3313288688659668},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.32365164160728455},{"id":"https://openalex.org/C164407509","wikidata":"https://www.wikidata.org/wiki/Q5384490","display_name":"Equilibrium selection","level":4,"score":0.2681303024291992}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ascc56756.2022.9828279","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ascc56756.2022.9828279","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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2006109604","https://openalex.org/W2023992136","https://openalex.org/W2057351461","https://openalex.org/W2069199044","https://openalex.org/W2339973182","https://openalex.org/W2397970027","https://openalex.org/W2406651635","https://openalex.org/W2535971022","https://openalex.org/W2610499762","https://openalex.org/W2720812389","https://openalex.org/W2774673689","https://openalex.org/W2902712861","https://openalex.org/W2964179329","https://openalex.org/W2995330358","https://openalex.org/W3000836424","https://openalex.org/W3022321359","https://openalex.org/W3093749735","https://openalex.org/W3121253845","https://openalex.org/W3124505728","https://openalex.org/W3125460150","https://openalex.org/W3129228040","https://openalex.org/W3195283404","https://openalex.org/W3208326740","https://openalex.org/W3211102054","https://openalex.org/W4200443357","https://openalex.org/W4288760628"],"related_works":["https://openalex.org/W4301347782","https://openalex.org/W1667857601","https://openalex.org/W2612802384","https://openalex.org/W4389370903","https://openalex.org/W2146267939","https://openalex.org/W2093394772","https://openalex.org/W2013971164","https://openalex.org/W2981664478","https://openalex.org/W2038329795","https://openalex.org/W3122192972"],"abstract_inverted_index":{"In":[0],"this":[1,55],"paper,":[2],"the":[3,20,23,28,41,57,63,91,97,110,113],"discrete-time,":[4],"finite":[5,82,100],"horizon,":[6],"linear":[7,11,29,64],"dynamic":[8,30,66],"games":[9,31],"with":[10,19,32,81,99],"per-stage":[12],"payoff":[13],"functions":[14],"are":[15,34],"considered.":[16],"At":[17],"first,":[18],"help":[21],"of":[22,26,45,62,73,78,96,112],"semi-tensor":[24],"product":[25],"matrices,":[27],"input-delay":[33],"proved":[35],"to":[36,70,108],"be":[37],"potential":[38],"games.":[39],"Then,":[40],"convex":[42],"strategy":[43,83,101],"set":[44],"game":[46,67,80,98],"is":[47,68,88,106],"approximated":[48],"by":[49,54],"an":[50,104],"inscribed":[51],"polyhedron,":[52],"and":[53],"way,":[56],"\u03b5-Nash":[58],"equilibrium":[59,77,93],"searching":[60,74,94],"problem":[61,72,95],"time-delay":[65],"converted":[69],"a":[71,75,79,86],"Nash":[76,92],"set.":[84,102],"Furthermore,":[85],"algorithm":[87],"proposed":[89],"for":[90],"Finally,":[103],"example":[105],"given":[107],"prove":[109],"validity":[111],"algorithm.":[114]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
