{"id":"https://openalex.org/W3109607863","doi":"https://doi.org/10.1109/tsipn.2020.3039395","title":"Distributed State Estimation Under Random Parameters and Dynamic Quantizations Over Sensor Networks: A Dynamic Event-Based Approach","display_name":"Distributed State Estimation Under Random Parameters and Dynamic Quantizations Over Sensor Networks: A Dynamic Event-Based Approach","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3109607863","doi":"https://doi.org/10.1109/tsipn.2020.3039395","mag":"3109607863"},"language":"en","primary_location":{"id":"doi:10.1109/tsipn.2020.3039395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsipn.2020.3039395","pdf_url":null,"source":{"id":"https://openalex.org/S4306422866","display_name":"IEEE Transactions on Signal and Information Processing over Networks","issn_l":"2373-776X","issn":["2373-776X","2373-7778"],"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 Signal and Information Processing over Networks","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":"https://openalex.org/A5102025620","display_name":"Shaoying Wang","orcid":"https://orcid.org/0000-0001-6940-2575"},"institutions":[{"id":"https://openalex.org/I151013683","display_name":"Binzhou University","ror":"https://ror.org/05frpfj73","country_code":"CN","type":"education","lineage":["https://openalex.org/I151013683"]},{"id":"https://openalex.org/I4210094970","display_name":"Energy Research Institute","ror":"https://ror.org/00ndnb620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094970","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaoying Wang","raw_affiliation_strings":["Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, China","College of Science, Binzhou University, Shandong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I4210094970","https://openalex.org/I921716337"]},{"raw_affiliation_string":"College of Science, Binzhou University, Shandong, China","institution_ids":["https://openalex.org/I151013683"]}]},{"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, Middlesex, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-9576-7401","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, Uxbridge, Middlesex, United Kingdom","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064660687","display_name":"Hongli Dong","orcid":"https://orcid.org/0000-0001-8531-6757"},"institutions":[{"id":"https://openalex.org/I4210094970","display_name":"Energy Research Institute","ror":"https://ror.org/00ndnb620","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094970","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I921716337","display_name":"Northeast Petroleum University","ror":"https://ror.org/03net5943","country_code":"CN","type":"education","lineage":["https://openalex.org/I921716337"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongli Dong","raw_affiliation_strings":["Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, China"],"raw_orcid":"https://orcid.org/0000-0001-8531-6757","affiliations":[{"raw_affiliation_string":"Artificial Intelligence Energy Research Institute, Northeast Petroleum University, Daqing, China","institution_ids":["https://openalex.org/I4210094970","https://openalex.org/I921716337"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100416565","display_name":"Yun Chen","orcid":"https://orcid.org/0000-0002-9934-9979"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yun Chen","raw_affiliation_strings":["Key Lab for IoT and Information Fusion Technology of Zhejiang, School of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-9934-9979","affiliations":[{"raw_affiliation_string":"Key Lab for IoT and Information Fusion Technology of Zhejiang, School of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.121,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.86880953,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"6","issue":null,"first_page":"732","last_page":"743"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T10046","display_name":"Stability and Control of Uncertain Systems","score":0.9993000030517578,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9993000030517578,"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":0.9980999827384949,"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/estimator","display_name":"Estimator","score":0.7426933646202087},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.6172168254852295},{"id":"https://openalex.org/keywords/quantization","display_name":"Quantization (signal processing)","score":0.6018177270889282},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5859593152999878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5858283638954163},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.545081615447998},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5296245217323303},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5186540484428406},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5153717398643494},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.47660893201828003},{"id":"https://openalex.org/keywords/discrete-time-and-continuous-time","display_name":"Discrete time and continuous time","score":0.47153764963150024},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4512752592563629},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.4333462715148926},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.43270471692085266},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.42496562004089355},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3961033225059509},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3953828811645508},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13398143649101257}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7426933646202087},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.6172168254852295},{"id":"https://openalex.org/C28855332","wikidata":"https://www.wikidata.org/wiki/Q198099","display_name":"Quantization (signal processing)","level":2,"score":0.6018177270889282},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5859593152999878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5858283638954163},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.545081615447998},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5296245217323303},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5186540484428406},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5153717398643494},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.47660893201828003},{"id":"https://openalex.org/C55689738","wikidata":"https://www.wikidata.org/wiki/Q15963867","display_name":"Discrete time and continuous time","level":2,"score":0.47153764963150024},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4512752592563629},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4333462715148926},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.43270471692085266},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.42496562004089355},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3961033225059509},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3953828811645508},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13398143649101257},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"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":1,"locations":[{"id":"doi:10.1109/tsipn.2020.3039395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsipn.2020.3039395","pdf_url":null,"source":{"id":"https://openalex.org/S4306422866","display_name":"IEEE Transactions on Signal and Information Processing over Networks","issn_l":"2373-776X","issn":["2373-776X","2373-7778"],"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 Signal and Information Processing over Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1463362488","display_name":null,"funder_award_id":"61873058","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/G5469435674","display_name":null,"funder_award_id":"61703050","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7520588270","display_name":"\u7f51\u7edc\u653b\u51fb\u60c5\u5f62\u4e0b\u77ff\u5c71\u7269\u7406\u4fe1\u606f\u878d\u5408\u7cfb\u7edf\u7684\u5206\u5e03\u5f0f\u6545\u969c\u8bca\u65ad\u7814\u7a76","funder_award_id":"61933007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8493180358","display_name":null,"funder_award_id":"ZD2019F001","funder_id":"https://openalex.org/F4320323085","funder_display_name":"Natural Science Foundation of Heilongjiang Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323085","display_name":"Natural Science Foundation of Heilongjiang Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1991904742","https://openalex.org/W1996384036","https://openalex.org/W2011685813","https://openalex.org/W2026324833","https://openalex.org/W2027936648","https://openalex.org/W2050963615","https://openalex.org/W2060770293","https://openalex.org/W2097132293","https://openalex.org/W2128644298","https://openalex.org/W2161277673","https://openalex.org/W2253883197","https://openalex.org/W2317290577","https://openalex.org/W2330478874","https://openalex.org/W2510333599","https://openalex.org/W2524977795","https://openalex.org/W2555793209","https://openalex.org/W2557739469","https://openalex.org/W2588151900","https://openalex.org/W2590974707","https://openalex.org/W2600119701","https://openalex.org/W2728389370","https://openalex.org/W2731977498","https://openalex.org/W2736062872","https://openalex.org/W2768779900","https://openalex.org/W2769728167","https://openalex.org/W2782840347","https://openalex.org/W2786021835","https://openalex.org/W2795728496","https://openalex.org/W2797295114","https://openalex.org/W2803949872","https://openalex.org/W2809548077","https://openalex.org/W2810524425","https://openalex.org/W2895899870","https://openalex.org/W2901865661","https://openalex.org/W2903969606","https://openalex.org/W2904807980","https://openalex.org/W2905309910","https://openalex.org/W2905547535","https://openalex.org/W2911481965","https://openalex.org/W2912505533","https://openalex.org/W2915063632","https://openalex.org/W2925438923","https://openalex.org/W2951782192","https://openalex.org/W2952432856","https://openalex.org/W2955137818","https://openalex.org/W2958975683","https://openalex.org/W2972371309","https://openalex.org/W2995778180","https://openalex.org/W2996649902","https://openalex.org/W6751673333"],"related_works":["https://openalex.org/W2788344745","https://openalex.org/W2017572878","https://openalex.org/W2062336688","https://openalex.org/W3022853057","https://openalex.org/W2377728464","https://openalex.org/W4388308858","https://openalex.org/W2886934452","https://openalex.org/W1489099099","https://openalex.org/W2024369332","https://openalex.org/W1974955043"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,42],"the":[4,36,45,54,60,78,89,95,101,114,118,129,150,154,157,175,181,192],"distributed":[5,108],"state":[6,69,109],"estimation":[7,130,176],"problem":[8,103],"for":[9,88],"an":[10,49,123,135,185],"array":[11],"of":[12,91,100,117,156],"discrete":[13],"time-varying":[14],"systems":[15],"over":[16],"sensor":[17],"networks":[18],"under":[19],"dynamic":[20,30,82],"event-based":[21,39],"transmission":[22,40],"scheme":[23,41],"(DETS),":[24],"random":[25],"parameter":[26],"matrices":[27],"(RPMs)":[28],"and":[29,70,121,133],"measurement":[31],"quantization":[32],"(DMQ).":[33],"Different":[34],"from":[35],"existing":[37],"static":[38],"fixed":[43],"threshold,":[44],"employed":[46],"DETS":[47],"introduces":[48],"auxiliary":[50],"offset":[51],"variable":[52],"in":[53,67,113,180],"triggering":[55],"condition":[56,169],"to":[57,75,86,105,172,190],"dynamically":[58],"regulate":[59],"inter-event":[61],"time.":[62],"The":[63,98],"RPMs":[64,120],"are":[65],"considered":[66],"both":[68],"observation":[71],"equations":[72],"so":[73],"as":[74],"better":[76],"reflect":[77],"engineering":[79],"reality.":[80],"A":[81],"quantizer":[83],"is":[84,104,126,138,164,170,178,188],"utilized":[85],"account":[87],"phenomenon":[90],"incomplete":[92],"measurements":[93],"during":[94],"data":[96],"transmission.":[97],"aim":[99],"addressed":[102],"design":[106],"a":[107,160,167],"estimator":[110],"such":[111,134],"that,":[112],"simultaneous":[115],"presence":[116],"DETS,":[119],"DMQ,":[122],"upper":[124,136],"bound":[125,137],"guaranteed":[127],"on":[128],"error":[131,177],"covariance,":[132],"minimized":[139],"at":[140],"each":[141],"time-step":[142],"by":[143,153],"choosing":[144],"proper":[145],"gain":[146],"matrices.":[147],"To":[148],"overcome":[149],"difficulties":[151],"induced":[152],"sparseness":[155],"network":[158],"topology,":[159],"matrix":[161],"simplification":[162],"technique":[163],"proposed.":[165],"Moreover,":[166],"sufficient":[168],"provided":[171],"ensure":[173],"that":[174],"bounded":[179],"mean-square":[182],"sense.":[183],"Finally,":[184],"illustrative":[186],"example":[187],"presented":[189],"demonstrate":[191],"theoretical":[193],"results.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}