{"id":"https://openalex.org/W7106271412","doi":"https://doi.org/10.1109/tfuzz.2025.3635723","title":"Agile and Accurate Formation Control for Uncertain UAV Swarms With Nash Game Optimality via Fuzzy Set Theory","display_name":"Agile and Accurate Formation Control for Uncertain UAV Swarms With Nash Game Optimality via Fuzzy Set Theory","publication_year":2025,"publication_date":"2025-11-21","ids":{"openalex":"https://openalex.org/W7106271412","doi":"https://doi.org/10.1109/tfuzz.2025.3635723"},"language":null,"primary_location":{"id":"doi:10.1109/tfuzz.2025.3635723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3635723","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-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":null,"display_name":"Jiawen Dai","orcid":"https://orcid.org/0009-0000-1429-1863"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiawen Dai","raw_affiliation_strings":["College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0000-1429-1863","affiliations":[{"raw_affiliation_string":"College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zheshuo Zhang","orcid":"https://orcid.org/0000-0002-9939-8885"},"institutions":[{"id":"https://openalex.org/I4210136752","display_name":"University Transportation Research Center","ror":"https://ror.org/03pz4a950","country_code":"US","type":"other","lineage":["https://openalex.org/I4210136752"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zheshuo Zhang","raw_affiliation_strings":["Smart Transportation Engineering Research Center, School of Information and Electrical Engineering, Hangzhou City University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9939-8885","affiliations":[{"raw_affiliation_string":"Smart Transportation Engineering Research Center, School of Information and Electrical Engineering, Hangzhou City University, Hangzhou, China","institution_ids":["https://openalex.org/I4210136752"]}]},{"author_position":"last","author":{"id":null,"display_name":"Bangji Zhang","orcid":"https://orcid.org/0000-0003-0523-6955"},"institutions":[{"id":"https://openalex.org/I4210136752","display_name":"University Transportation Research Center","ror":"https://ror.org/03pz4a950","country_code":"US","type":"other","lineage":["https://openalex.org/I4210136752"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bangji Zhang","raw_affiliation_strings":["Smart Transportation Engineering Research Center, School of Information and Electrical Engineering, Hangzhou City University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-0523-6955","affiliations":[{"raw_affiliation_string":"Smart Transportation Engineering Research Center, School of Information and Electrical Engineering, Hangzhou City University, Hangzhou, China","institution_ids":["https://openalex.org/I4210136752"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I16609230"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58119219,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":"1","first_page":"298","last_page":"310"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9793999791145325,"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":0.9793999791145325,"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/T11133","display_name":"UAV Applications and Optimization","score":0.008799999952316284,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10462","display_name":"Reinforcement Learning in Robotics","score":0.002199999988079071,"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":0.7501999735832214},{"id":"https://openalex.org/keywords/agile-software-development","display_name":"Agile software development","score":0.7111999988555908},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6926000118255615},{"id":"https://openalex.org/keywords/robust-control","display_name":"Robust control","score":0.5972999930381775},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5480999946594238},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5342000126838684},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.4803999960422516},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.4465000033378601},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.44530001282691956}],"concepts":[{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.7501999735832214},{"id":"https://openalex.org/C14185376","wikidata":"https://www.wikidata.org/wiki/Q30232","display_name":"Agile software development","level":2,"score":0.7111999988555908},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6926000118255615},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6115999817848206},{"id":"https://openalex.org/C31531917","wikidata":"https://www.wikidata.org/wiki/Q915157","display_name":"Robust control","level":3,"score":0.5972999930381775},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5519000291824341},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5480999946594238},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5342000126838684},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.4803999960422516},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.4465000033378601},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.44530001282691956},{"id":"https://openalex.org/C108710211","wikidata":"https://www.wikidata.org/wiki/Q11538","display_name":"Mathematical proof","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C42011625","wikidata":"https://www.wikidata.org/wiki/Q1055058","display_name":"Fuzzy set","level":3,"score":0.4081999957561493},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3889000117778778},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.3666999936103821},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.35019999742507935},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.3402000069618225},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C91575142","wikidata":"https://www.wikidata.org/wiki/Q1971426","display_name":"Optimal control","level":2,"score":0.33000001311302185},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.3221000134944916},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.30660000443458557},{"id":"https://openalex.org/C2780023022","wikidata":"https://www.wikidata.org/wiki/Q1338171","display_name":"Compensation (psychology)","level":2,"score":0.2962000072002411},{"id":"https://openalex.org/C32407928","wikidata":"https://www.wikidata.org/wiki/Q2733833","display_name":"Best response","level":3,"score":0.26499998569488525},{"id":"https://openalex.org/C176147130","wikidata":"https://www.wikidata.org/wiki/Q909622","display_name":"Evolvability","level":2,"score":0.2556000053882599},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.2526000142097473}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tfuzz.2025.3635723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tfuzz.2025.3635723","pdf_url":null,"source":{"id":"https://openalex.org/S134177497","display_name":"IEEE Transactions on Fuzzy Systems","issn_l":"1063-6706","issn":["1063-6706","1941-0034"],"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 Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1983560838","https://openalex.org/W2061146142","https://openalex.org/W2167704915","https://openalex.org/W2598643305","https://openalex.org/W2903851759","https://openalex.org/W2999449788","https://openalex.org/W3000216601","https://openalex.org/W3035005815","https://openalex.org/W3042033123","https://openalex.org/W3092575029","https://openalex.org/W3095174526","https://openalex.org/W3114904763","https://openalex.org/W3136462695","https://openalex.org/W3207309611","https://openalex.org/W4200000120","https://openalex.org/W4213446770","https://openalex.org/W4281717209","https://openalex.org/W4282940153","https://openalex.org/W4286370720","https://openalex.org/W4382657673","https://openalex.org/W4385254044","https://openalex.org/W4386882970","https://openalex.org/W4387448002","https://openalex.org/W4387693490","https://openalex.org/W4387917979","https://openalex.org/W4388125284","https://openalex.org/W4388839585","https://openalex.org/W4389274172","https://openalex.org/W4399377324","https://openalex.org/W4407212638","https://openalex.org/W4408971077","https://openalex.org/W4409581531"],"related_works":[],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,122,129,133,143],"challenge":[4],"of":[5,86,96,121,142],"excessive":[6],"control":[7,18,29,49,72,98,110],"effort":[8,111],"in":[9,19,55,84],"uncertainty":[10,33,65],"compensation":[11],"to":[12],"achieve":[13],"agile":[14,45,59,114],"and":[15,46,60,89,115,128,140,151],"accurate":[16,47,61,116],"formation":[17,48,62,117],"unmanned":[20],"aerial":[21],"vehicle":[22],"swarm":[23],"systems":[24],"(UAVSS).":[25],"Specifically,":[26],"we":[27],"optimize":[28],"parameters":[30,99],"based":[31],"on":[32],"information":[34],"characterized":[35],"by":[36,102,148],"fuzzy":[37,94],"set":[38],"theory.":[39],"We":[40],"propose":[41],"an":[42,69],"adaptive":[43,70],"robust":[44,71],"(ARAAFC)":[50],"approach":[51],"with":[52,74],"optimality,":[53],"developed":[54],"two":[56],"steps.":[57],"First,":[58],"constraints":[63],"under":[64],"are":[66,146],"enforced":[67],"through":[68],"design":[73],"a":[75,104],"tunable":[76,97],"parameter":[77],"structure,":[78],"ensuring":[79,113],"deterministic":[80],"performance":[81],"for":[82,131],"UAVSS,":[83],"terms":[85],"uniform":[87,91],"boundedness":[88],"ultimate":[90],"boundedness.":[92],"Second,":[93],"optimality":[95],"is":[100,125,136],"performed":[101],"solving":[103],"two-players":[105],"Nash":[106,123,134],"game,":[107],"which":[108],"optimizes":[109],"while":[112],"performance.":[118],"The":[119,138],"existence":[120],"equilibrium":[124,135],"theoretically":[126],"proven,":[127],"procedure":[130],"obtaining":[132],"provided.":[137],"robustness":[139],"effectiveness":[141],"proposed":[144],"ARAAFC":[145],"validated":[147],"rigorous":[149],"proofs":[150],"simulations.":[152]},"counts_by_year":[],"updated_date":"2026-01-01T23:40:50.289205","created_date":"2025-11-23T00:00:00"}
