{"id":"https://openalex.org/W3156666998","doi":"https://doi.org/10.1109/tnnls.2021.3070797","title":"Simultaneous State and Unknown Input Estimation for Complex Networks With Redundant Channels Under Dynamic Event-Triggered Mechanisms","display_name":"Simultaneous State and Unknown Input Estimation for Complex Networks With Redundant Channels Under Dynamic Event-Triggered Mechanisms","publication_year":2021,"publication_date":"2021-04-14","ids":{"openalex":"https://openalex.org/W3156666998","doi":"https://doi.org/10.1109/tnnls.2021.3070797","mag":"3156666998","pmid":"https://pubmed.ncbi.nlm.nih.gov/33852402"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3070797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3070797","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/A5100350198","display_name":"Qi Li","orcid":"https://orcid.org/0000-0002-2481-3634"},"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":true,"raw_author_name":"Qi Li","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"]}]},{"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/A5071056908","display_name":"Jun Hu","orcid":"https://orcid.org/0000-0002-7852-5064"},"institutions":[{"id":"https://openalex.org/I100188998","display_name":"Harbin University of Science and Technology","ror":"https://ror.org/04e6y1282","country_code":"CN","type":"education","lineage":["https://openalex.org/I100188998"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Hu","raw_affiliation_strings":["Department of Mathematics, Harbin University of Science and Technology, Harbin, China"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Harbin University of Science and Technology, Harbin, China","institution_ids":["https://openalex.org/I100188998"]}]},{"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":4,"corresponding_author_ids":["https://openalex.org/A5100350198"],"corresponding_institution_ids":["https://openalex.org/I163151501"],"apc_list":null,"apc_paid":null,"fwci":3.682,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.93052761,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"33","issue":"10","first_page":"5441","last_page":"5451"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9995999932289124,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9995999932289124,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9991000294685364,"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/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.9975000023841858,"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":0.820563554763794},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.598494827747345},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.5761390924453735},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5521900057792664},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.5510445833206177},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5184297561645508},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5137511491775513},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5062960386276245},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.4999210834503174},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4166111946105957},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40974336862564087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33575698733329773},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3051868975162506},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11744770407676697},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07515513896942139},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.06660324335098267},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.06593546271324158}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.820563554763794},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.598494827747345},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.5761390924453735},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5521900057792664},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.5510445833206177},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5184297561645508},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5137511491775513},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5062960386276245},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.4999210834503174},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4166111946105957},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40974336862564087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33575698733329773},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3051868975162506},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11744770407676697},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07515513896942139},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.06660324335098267},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.06593546271324158},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","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":3,"locations":[{"id":"doi:10.1109/tnnls.2021.3070797","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3070797","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:33852402","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33852402","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},{"id":"pmh:oai:bura.brunel.ac.uk:2438/23489","is_oa":false,"landing_page_url":"https://bura.brunel.ac.uk/handle/2438/23489","pdf_url":null,"source":{"id":"https://openalex.org/S4306401473","display_name":"Brunel University Research Archive (BURA) (Brunel University London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I59433898","host_organization_name":"Brunel University of London","host_organization_lineage":["https://openalex.org/I59433898"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8999999761581421}],"awards":[{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1807432837","display_name":null,"funder_award_id":"61873148","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2476221792","display_name":null,"funder_award_id":"Heilongjiang","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3433318272","display_name":null,"funder_award_id":"LQ20F030014","funder_id":"https://openalex.org/F4320338464","funder_display_name":"Natural Science Foundation of Zhejiang Province"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5311346577","display_name":null,"funder_award_id":"2018001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5705614575","display_name":null,"funder_award_id":"61933007","funder_id":"https://openalex.org/F4320308269","funder_display_name":"Alexander von Humboldt-Stiftung"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6667416880","display_name":null,"funder_award_id":"62003121","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6864463332","display_name":null,"funder_award_id":"6193300","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6914391491","display_name":null,"funder_award_id":"61873082","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7033253288","display_name":null,"funder_award_id":"Grants","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/G8119885652","display_name":null,"funder_award_id":"Germany","funder_id":"https://openalex.org/F4320308269","funder_display_name":"Alexander von Humboldt-Stiftung"},{"id":"https://openalex.org/G8282800992","display_name":null,"funder_award_id":"61873148","funder_id":"https://openalex.org/F4320308269","funder_display_name":"Alexander von Humboldt-Stiftung"}],"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"},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W842121523","https://openalex.org/W1970754031","https://openalex.org/W1977878271","https://openalex.org/W1981303508","https://openalex.org/W1990438944","https://openalex.org/W1992763998","https://openalex.org/W1996384036","https://openalex.org/W2003279586","https://openalex.org/W2009127148","https://openalex.org/W2019166202","https://openalex.org/W2033468100","https://openalex.org/W2064815138","https://openalex.org/W2068362280","https://openalex.org/W2076186907","https://openalex.org/W2137345842","https://openalex.org/W2152898444","https://openalex.org/W2164522996","https://openalex.org/W2167183308","https://openalex.org/W2169329579","https://openalex.org/W2286561681","https://openalex.org/W2518218743","https://openalex.org/W2610418412","https://openalex.org/W2623956239","https://openalex.org/W2738765409","https://openalex.org/W2765251698","https://openalex.org/W2791775919","https://openalex.org/W2797295114","https://openalex.org/W2811086794","https://openalex.org/W2896819564","https://openalex.org/W2907039237","https://openalex.org/W2908025526","https://openalex.org/W2908142178","https://openalex.org/W2952432856","https://openalex.org/W2965262292","https://openalex.org/W2970156326","https://openalex.org/W2984987324","https://openalex.org/W2996540419","https://openalex.org/W2996649902","https://openalex.org/W3001028887","https://openalex.org/W3009323257","https://openalex.org/W3044539706","https://openalex.org/W3046310786","https://openalex.org/W3049136008","https://openalex.org/W3067252415","https://openalex.org/W3084378749","https://openalex.org/W3090415223","https://openalex.org/W3112234278","https://openalex.org/W3118504340","https://openalex.org/W4292964435"],"related_works":["https://openalex.org/W4287880334","https://openalex.org/W1619264321","https://openalex.org/W4366700029","https://openalex.org/W3175363083","https://openalex.org/W2899588557","https://openalex.org/W4285230481","https://openalex.org/W4385769873","https://openalex.org/W2015759683","https://openalex.org/W4254565718","https://openalex.org/W4281634296"],"abstract_inverted_index":{"This":[0],"article":[1],"addresses":[2],"the":[3,68,81,93,96,105,120,137,151,154],"simultaneous":[4],"state":[5,94],"and":[6,23,95,112,126],"unknown":[7,97],"input":[8,98],"estimation":[9,106],"problem":[10],"for":[11,91],"a":[12,51,73,88],"class":[13],"of":[14,35,80,122,133,153],"discrete":[15],"time-varying":[16],"complex":[17],"networks":[18],"(CNs)":[19],"under":[20],"redundant":[21,29,127],"channels":[22],"dynamic":[24,52,123],"event-triggered":[25,53,124],"mechanisms":[26],"(ETMs).":[27],"The":[28,77],"channels,":[30],"modeled":[31],"by":[32],"an":[33,144],"array":[34],"mutually":[36],"independent":[37],"Bernoulli":[38],"distributed":[39],"stochastic":[40],"variables,":[41],"are":[42,109,141],"exploited":[43],"to":[44,58,67,86,149],"enhance":[45],"transmission":[46,54],"reliability.":[47],"For":[48],"energy-saving":[49],"purposes,":[50],"scheme":[55],"is":[56,85,147],"enforced":[57],"ensure":[59],"that":[60,100],"every":[61],"sensor":[62],"node":[63],"sends":[64],"its":[65],"measurement":[66],"corresponding":[69],"estimator":[70,90,139,156],"only":[71],"when":[72],"certain":[74,101],"condition":[75],"holds.":[76],"primary":[78],"objective":[79],"investigation":[82],"carried":[83],"out":[84],"construct":[87],"recursive":[89,134],"both":[92],"such":[99],"upper":[102],"bounds":[103],"on":[104],"error":[107],"covariances":[108],"first":[110],"guaranteed":[111],"then":[113],"minimized":[114],"at":[115],"each":[116],"time":[117],"instant":[118],"in":[119],"presence":[121],"strategies":[125],"channels.":[128],"By":[129],"solving":[130],"two":[131],"series":[132],"difference":[135],"equations,":[136],"desired":[138],"gains":[140],"computed.":[142],"Finally,":[143],"illustrative":[145],"example":[146],"presented":[148],"show":[150],"usefulness":[152],"developed":[155],"design":[157],"method.":[158]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}