{"id":"https://openalex.org/W4388692374","doi":"https://doi.org/10.1109/tnnls.2023.3325729","title":"Zonotope-Based Distributed Set-Membership Fusion Estimation for Artificial Neural Networks Under the Dynamic Event-Triggered Mechanism","display_name":"Zonotope-Based Distributed Set-Membership Fusion Estimation for Artificial Neural Networks Under the Dynamic Event-Triggered Mechanism","publication_year":2023,"publication_date":"2023-11-15","ids":{"openalex":"https://openalex.org/W4388692374","doi":"https://doi.org/10.1109/tnnls.2023.3325729","pmid":"https://pubmed.ncbi.nlm.nih.gov/37966928"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3325729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3325729","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5013781019","display_name":"Zhongyi Zhao","orcid":"https://orcid.org/0000-0002-8393-1008"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhongyi Zhao","raw_affiliation_strings":["School of Mathematics, Southeast University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100699858","display_name":"Zidong Wang","orcid":"https://orcid.org/0000-0002-9576-7401"},"institutions":[{"id":"https://openalex.org/I59433898","display_name":"Brunel University of London","ror":"https://ror.org/00dn4t376","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I59433898"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zidong Wang","raw_affiliation_strings":["Department of Computer Science, Brunel University London, Uxbridge, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, Uxbridge, U.K","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023709529","display_name":"Lei Zou","orcid":"https://orcid.org/0000-0002-0409-7941"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Zou","raw_affiliation_strings":["College of Information Science and Technology, Donghua University, Shanghai, China","Engineering Research Center of Digitalized Textile and Fashion Technology, Ministry of Education, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]},{"raw_affiliation_string":"Engineering Research Center of Digitalized Textile and Fashion Technology, Ministry of Education, Shanghai, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100783255","display_name":"Hongjian Liu","orcid":"https://orcid.org/0000-0001-6471-5089"},"institutions":[{"id":"https://openalex.org/I70908550","display_name":"Anhui Polytechnic University","ror":"https://ror.org/041sj0284","country_code":"CN","type":"education","lineage":["https://openalex.org/I70908550"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongjian Liu","raw_affiliation_strings":["Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Wuhu, China","School of Mathematics and Physics, Anhui Polytechnic University, Wuhu, China","Ministry of Education, Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Anhui Polytechnic University, Wuhu, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Ministry of Education, Anhui Polytechnic University, Wuhu, China","institution_ids":["https://openalex.org/I70908550"]},{"raw_affiliation_string":"School of Mathematics and Physics, Anhui Polytechnic University, Wuhu, China","institution_ids":["https://openalex.org/I70908550"]},{"raw_affiliation_string":"Ministry of Education, Key Laboratory of Advanced Perception and Intelligent Control of High-end Equipment, Anhui Polytechnic University, Wuhu, China","institution_ids":["https://openalex.org/I70908550"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019915591","display_name":"Weiguo Sheng","orcid":"https://orcid.org/0000-0001-9680-5126"},"institutions":[{"id":"https://openalex.org/I163151501","display_name":"Hangzhou Normal University","ror":"https://ror.org/014v1mr15","country_code":"CN","type":"education","lineage":["https://openalex.org/I163151501"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiguo Sheng","raw_affiliation_strings":["School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Hangzhou Normal University, Hangzhou, China","institution_ids":["https://openalex.org/I163151501"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5013781019"],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":6.5752,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.97468048,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"36","issue":"1","first_page":"1637","last_page":"1650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9944000244140625,"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"}},"topics":[{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9944000244140625,"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"}},{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9926999807357788,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9919999837875366,"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/estimator","display_name":"Estimator","score":0.6426758170127869},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5636263489723206},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5131045579910278},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5051060318946838},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4563889503479004},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4514233469963074},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43578311800956726},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.38325825333595276},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31097060441970825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.192425936460495}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6426758170127869},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5636263489723206},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5131045579910278},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5051060318946838},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4563889503479004},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4514233469963074},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43578311800956726},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.38325825333595276},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31097060441970825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.192425936460495},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3325729","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3325729","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37966928","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37966928","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4716552693","display_name":null,"funder_award_id":"62273087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6750264081","display_name":null,"funder_award_id":"62273211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7520588270","display_name":null,"funder_award_id":"61933007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G811874178","display_name":null,"funder_award_id":"62233012","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8876727799","display_name":null,"funder_award_id":"62273005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320308269","display_name":"Alexander von Humboldt-Stiftung","ror":"https://ror.org/012kf4317"},{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"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":50,"referenced_works":["https://openalex.org/W1987592584","https://openalex.org/W2051110650","https://openalex.org/W2066931881","https://openalex.org/W2159468916","https://openalex.org/W2162847266","https://openalex.org/W2342488082","https://openalex.org/W2472973671","https://openalex.org/W2498560248","https://openalex.org/W2899532358","https://openalex.org/W2912965654","https://openalex.org/W2940970026","https://openalex.org/W2971841881","https://openalex.org/W3011464329","https://openalex.org/W3016584303","https://openalex.org/W3030830334","https://openalex.org/W3033416582","https://openalex.org/W3081191606","https://openalex.org/W3093225033","https://openalex.org/W3097303125","https://openalex.org/W3151784567","https://openalex.org/W3171749151","https://openalex.org/W3183726381","https://openalex.org/W3198234176","https://openalex.org/W3202339433","https://openalex.org/W3208625385","https://openalex.org/W3215322691","https://openalex.org/W4205713248","https://openalex.org/W4205761702","https://openalex.org/W4206656410","https://openalex.org/W4214877975","https://openalex.org/W4220786508","https://openalex.org/W4220934002","https://openalex.org/W4224255388","https://openalex.org/W4226312589","https://openalex.org/W4283834317","https://openalex.org/W4292838570","https://openalex.org/W4296625374","https://openalex.org/W4297033031","https://openalex.org/W4308056986","https://openalex.org/W4309701341","https://openalex.org/W4310136415","https://openalex.org/W4313326430","https://openalex.org/W4315646692","https://openalex.org/W4319787432","https://openalex.org/W4321479723","https://openalex.org/W4321479797","https://openalex.org/W4353071458","https://openalex.org/W4366411242","https://openalex.org/W4367549634","https://openalex.org/W4376105801"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W4366700029","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W4281634296","https://openalex.org/W4319161863","https://openalex.org/W2371687270","https://openalex.org/W4311888330","https://openalex.org/W2517641583","https://openalex.org/W4221071877"],"abstract_inverted_index":{"This":[0],"article":[1,50],"is":[2,25,51,81,103,120,151,191,226],"concerned":[3],"with":[4],"the":[5,20,29,62,76,79,87,91,97,100,108,113,116,124,131,134,141,146,155,159,162,166,173,186,199,202,206,212,217,220],"distributed":[6,55,188,222],"set-membership":[7,56],"fusion":[8,57,189,214,223],"estimation":[9,58,64,118,125,143,168,208,224],"problem":[10],"for":[11],"a":[12,54,68,148,229],"class":[13],"of":[14,48,78,86,133,145,158,161,172,198,201,219],"artificial":[15],"neural":[16],"networks":[17],"(ANNs),":[18],"where":[19],"dynamic":[21],"event-triggered":[22],"mechanism":[23],"(ETM)":[24],"utilized":[26],"to":[27,34,37,52,106,122,153,180,211],"schedule":[28],"signal":[30],"transmission":[31],"from":[32],"sensors":[33],"local":[35,117,142,167,174],"estimators":[36,175],"save":[38],"resource":[39],"consumption":[40],"and":[41,90,111],"avoid":[42],"data":[43],"congestion.":[44],"The":[45],"main":[46],"purpose":[47],"this":[49],"design":[53],"algorithm":[59],"that":[60,164],"ensures":[61],"global":[63,207],"error":[65,102,119],"resides":[66],"in":[67,139],"zonotope":[69,80,88,98,114,163,203],"at":[70],"each":[71],"time":[72],"instant":[73],"and,":[74],"meanwhile,":[75],"radius":[77,160,200],"ultimately":[82],"bounded.":[83],"By":[84,127],"means":[85],"properties":[89],"linear":[92],"matrix":[93,183],"inequality":[94],"(LMI)":[95],"technique,":[96],"restraining":[99],"prediction":[101,109],"first":[104],"calculated":[105],"improve":[107],"accuracy":[110],"subsequently,":[112],"enclosing":[115],"derived":[121,152],"enhance":[123],"performance.":[126],"taking":[128],"into":[129],"account":[130],"side-effect":[132],"order":[135],"reduction":[136],"technique":[137],"(utilized":[138],"designing":[140],"algorithm)":[144],"zonotope,":[147],"sufficient":[149],"condition":[150],"guarantee":[154],"ultimate":[156],"boundedness":[157],"encompasses":[165],"error.":[169],"Furthermore,":[170],"parameters":[171],"are":[176],"obtained":[177,192],"via":[178,228],"solutions":[179],"certain":[181,195],"bilinear":[182],"inequalities.":[184],"Moreover,":[185],"zonotope-based":[187],"estimator":[190],"through":[193],"minimizing":[194],"upper":[196],"bound":[197],"(that":[204],"contains":[205],"error)":[209],"according":[210],"matrix-weighted":[213],"rule.":[215],"Finally,":[216],"effectiveness":[218],"proposed":[221],"method":[225],"illustrated":[227],"numerical":[230],"example.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
