{"id":"https://openalex.org/W2955365239","doi":"https://doi.org/10.1109/ijcnn.2019.8852104","title":"Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach","display_name":"Adaptive Neural Network Time-varying Formation Tracking Control for Multi-agent Systems via Minimal Learning Parameter Approach","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2955365239","doi":"https://doi.org/10.1109/ijcnn.2019.8852104","mag":"2955365239"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5089131417","display_name":"Tianyi Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianyi Xiong","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060319097","display_name":"Zhiqiang Pu","orcid":"https://orcid.org/0000-0002-4841-4048"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Pu","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019541846","display_name":"Jianqiang Yi","orcid":"https://orcid.org/0000-0003-3268-9482"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianqiang Yi","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004948547","display_name":"Zezhi Sui","orcid":"https://orcid.org/0000-0002-1296-5219"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]},{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zezhi Sui","raw_affiliation_strings":["School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5089131417"],"corresponding_institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.5305,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68342459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10249","display_name":"Distributed Control Multi-Agent Systems","score":1.0,"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":1.0,"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/T10040","display_name":"Adaptive Control of Nonlinear Systems","score":0.9984999895095825,"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"}},{"id":"https://openalex.org/T11347","display_name":"Neural Networks Stability and Synchronization","score":0.9969000220298767,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6871391534805298},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.6380273103713989},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5931782722473145},{"id":"https://openalex.org/keywords/adaptive-control","display_name":"Adaptive control","score":0.5516386032104492},{"id":"https://openalex.org/keywords/tracking-error","display_name":"Tracking error","score":0.5323811769485474},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.527226448059082},{"id":"https://openalex.org/keywords/multi-agent-system","display_name":"Multi-agent system","score":0.5052147507667542},{"id":"https://openalex.org/keywords/lyapunov-function","display_name":"Lyapunov function","score":0.49854421615600586},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.48715779185295105},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.43072181940078735},{"id":"https://openalex.org/keywords/adaptive-learning","display_name":"Adaptive learning","score":0.4249304533004761},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.327489972114563},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3249707520008087},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30032819509506226},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2758716940879822},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.15323185920715332},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.11804774403572083}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6871391534805298},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.6380273103713989},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5931782722473145},{"id":"https://openalex.org/C107464732","wikidata":"https://www.wikidata.org/wiki/Q235781","display_name":"Adaptive control","level":3,"score":0.5516386032104492},{"id":"https://openalex.org/C183356978","wikidata":"https://www.wikidata.org/wiki/Q1779213","display_name":"Tracking error","level":3,"score":0.5323811769485474},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.527226448059082},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.5052147507667542},{"id":"https://openalex.org/C60640748","wikidata":"https://www.wikidata.org/wiki/Q2337858","display_name":"Lyapunov function","level":3,"score":0.49854421615600586},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.48715779185295105},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.43072181940078735},{"id":"https://openalex.org/C125014702","wikidata":"https://www.wikidata.org/wiki/Q4680749","display_name":"Adaptive learning","level":2,"score":0.4249304533004761},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.327489972114563},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3249707520008087},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30032819509506226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2758716940879822},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.15323185920715332},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.11804774403572083},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852104","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1517023801","https://openalex.org/W1890265107","https://openalex.org/W1979474192","https://openalex.org/W1982947074","https://openalex.org/W1989795450","https://openalex.org/W1999424658","https://openalex.org/W2016910787","https://openalex.org/W2036571133","https://openalex.org/W2058250967","https://openalex.org/W2080817687","https://openalex.org/W2119120935","https://openalex.org/W2121447854","https://openalex.org/W2165413656","https://openalex.org/W2195711220","https://openalex.org/W2201348769","https://openalex.org/W2240890113","https://openalex.org/W2328787299","https://openalex.org/W2499597001","https://openalex.org/W2508148686","https://openalex.org/W2586541921","https://openalex.org/W2746938269","https://openalex.org/W2762080561","https://openalex.org/W2767809286","https://openalex.org/W2802343062"],"related_works":["https://openalex.org/W4320719302","https://openalex.org/W4327639156","https://openalex.org/W4283708569","https://openalex.org/W3125287814","https://openalex.org/W1934622834","https://openalex.org/W2015036175","https://openalex.org/W1545539801","https://openalex.org/W3153646294","https://openalex.org/W4280596088","https://openalex.org/W1966075561"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,35,40,43,46,74,121,129,134],"time-varying":[4,75],"formation":[5,76,85,98],"tracking":[6,77,86,99],"control":[7,61,100,137],"problem":[8],"for":[9,102],"multi-agent":[10,103],"systems":[11],"with":[12,63,94],"consideration":[13],"of":[14,20,42,45,84,133],"model":[15,36],"uncertainties.":[16],"For":[17],"each":[18],"dimension":[19],"an":[21],"agent,":[22],"a":[23,52,57],"radial":[24],"basis":[25],"function":[26],"neural":[27,47],"network":[28,48],"(RBFNN)":[29],"is":[30,69,88],"first":[31],"adopted":[32],"to":[33,72,109],"approximate":[34],"uncertainties":[37],"online.":[38],"Taking":[39],"square":[41],"norm":[44],"weight":[49],"vector":[50],"as":[51],"newly":[53],"developed":[54],"adaptive":[55,60,136],"parameter,":[56],"novel":[58],"RBFNN-based":[59,97],"law":[62],"minimal":[64],"learning":[65],"parameter":[66],"(MLP)":[67],"approach":[68],"then":[70],"constructed":[71],"tackle":[73],"problem.":[78],"The":[79],"uniformly":[80],"ultimately":[81],"boundedness":[82],"(UUB)":[83],"errors":[87],"guaranteed":[89],"through":[90],"Lyapunov":[91],"analysis.":[92],"Compared":[93],"other":[95],"traditional":[96],"laws":[101],"systems,":[104],"very":[105],"few":[106],"parameters":[107],"need":[108],"be":[110],"updated":[111],"online":[112],"in":[113],"our":[114],"proposed":[115,135],"one,":[116],"which":[117],"can":[118],"greatly":[119],"lessen":[120],"computational":[122],"burden.":[123],"Finally,":[124],"comparative":[125],"simulation":[126],"results":[127],"demonstrate":[128],"effectiveness":[130],"and":[131],"superiority":[132],"law.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}