{"id":"https://openalex.org/W4408281812","doi":"https://doi.org/10.1109/iecon55916.2024.10905336","title":"Distributed Regularization-Based Nash Equilibrium Seeking for Merely Monotone Games Under Directed Graphs: A Prescribed-Time Approach","display_name":"Distributed Regularization-Based Nash Equilibrium Seeking for Merely Monotone Games Under Directed Graphs: A Prescribed-Time Approach","publication_year":2024,"publication_date":"2024-11-03","ids":{"openalex":"https://openalex.org/W4408281812","doi":"https://doi.org/10.1109/iecon55916.2024.10905336"},"language":"en","primary_location":{"id":"doi:10.1109/iecon55916.2024.10905336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","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/A5116570122","display_name":"Jinyang Rui","orcid":"https://orcid.org/0009-0007-9210-514X"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinyang Rui","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Institute of Advanced Technology for Carbon Neutrality,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Institute of Advanced Technology for Carbon Neutrality,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055548778","display_name":"Lei Ding","orcid":"https://orcid.org/0000-0003-3555-1411"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Ding","raw_affiliation_strings":["Nanjing University of Posts and Telecommunications,Institute of Advanced Technology for Carbon Neutrality,Nanjing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University of Posts and Telecommunications,Institute of Advanced Technology for Carbon Neutrality,Nanjing,China","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I41198531"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.29616322,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10545","display_name":"Optimization and Variational Analysis","score":0.9713000059127808,"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/T10545","display_name":"Optimization and Variational Analysis","score":0.9713000059127808,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9366000294685364,"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":0.9236999750137329,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.7759727239608765},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.6570761203765869},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.6483869552612305},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5228753089904785},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5013034343719482},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.4975438416004181},{"id":"https://openalex.org/keywords/best-response","display_name":"Best response","score":0.4579841196537018},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37349259853363037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1856895387172699}],"concepts":[{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.7759727239608765},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.6570761203765869},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.6483869552612305},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5228753089904785},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5013034343719482},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.4975438416004181},{"id":"https://openalex.org/C32407928","wikidata":"https://www.wikidata.org/wiki/Q2733833","display_name":"Best response","level":3,"score":0.4579841196537018},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37349259853363037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1856895387172699},{"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/iecon55916.2024.10905336","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iecon55916.2024.10905336","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2013921128","https://openalex.org/W2026355589","https://openalex.org/W2099175737","https://openalex.org/W2275030070","https://openalex.org/W2611840737","https://openalex.org/W2759175286","https://openalex.org/W2962910407","https://openalex.org/W2994062025","https://openalex.org/W3001078900","https://openalex.org/W3009436047","https://openalex.org/W3042232751","https://openalex.org/W3046514010","https://openalex.org/W3135910512","https://openalex.org/W3196082562","https://openalex.org/W3197947604","https://openalex.org/W4226017528","https://openalex.org/W4285201036","https://openalex.org/W4293173910","https://openalex.org/W4317038588","https://openalex.org/W4352976969","https://openalex.org/W4383873801","https://openalex.org/W4384080289","https://openalex.org/W4390591013","https://openalex.org/W6726247264"],"related_works":["https://openalex.org/W2803931294","https://openalex.org/W4389370903","https://openalex.org/W2282604764","https://openalex.org/W1554758635","https://openalex.org/W2500870930","https://openalex.org/W4302558842","https://openalex.org/W1721270588","https://openalex.org/W2010679956","https://openalex.org/W2955320052","https://openalex.org/W4248623114"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"consider":[4],"the":[5,21,26,40,46,58,66,77,94,102,106,122,125],"prescribed-time":[6,51],"distributed":[7,52],"Nash":[8,60,107],"equilibrium":[9,61],"(PTDNE)":[10],"seeking":[11,57],"problem":[12],"in":[13,39,62,109,128],"noncooperative":[14],"monotone":[15,42,63],"games":[16],"under":[17,92],"directed":[18],"graphs.":[19],"For":[20],"purpose":[22],"of":[23,28,99,105,119,124],"compensating":[24],"for":[25,56],"absence":[27],"strong":[29],"monotoncity":[30],"condition,":[31],"a":[32,49,110,117],"time-varying":[33,84],"decay":[34],"regularization":[35,47],"term":[36],"is":[37,54],"implemented":[38],"merely":[41],"game.":[43],"By":[44],"using":[45],"scheme,":[48],"new":[50],"algorithm":[53,127],"established":[55],"least-norm":[59,103],"games,":[64],"where":[65],"leader-following":[67],"consensus":[68],"protocol":[69],"and":[70],"gradient":[71],"play":[72],"are":[73,86,97],"incorporated.":[74],"Based":[75],"on":[76,83,116],"proposed":[78,126],"strategies,":[79],"some":[80],"sufficient":[81],"conditions":[82],"parameters":[85],"provided":[87],"through":[88],"Lyapunov":[89],"function":[90],"analysis,":[91],"which":[93],"players\u2019":[95],"actions":[96],"capable":[98],"converging":[100],"to":[101],"one":[104],"equilibria":[108],"prescribed":[111],"time.":[112,134],"Finally,":[113],"numerical":[114],"simulations":[115],"network":[118],"players":[120],"demonstrate":[121],"benefits":[123],"achieving":[129],"convergence":[130],"at":[131],"any":[132],"arbitrary":[133]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
