{"id":"https://openalex.org/W2547223667","doi":"https://doi.org/10.1109/iconac.2016.7604912","title":"Event-triggered resilient filtering with missing measurements","display_name":"Event-triggered resilient filtering with missing measurements","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2547223667","doi":"https://doi.org/10.1109/iconac.2016.7604912","mag":"2547223667"},"language":"en","primary_location":{"id":"doi:10.1109/iconac.2016.7604912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iconac.2016.7604912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 22nd International Conference on Automation and Computing (ICAC)","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/A5025515104","display_name":"Qinyuan Liu","orcid":"https://orcid.org/0000-0002-0170-3651"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qinyuan Liu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"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"],"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/A5101519817","display_name":"Weibo Liu","orcid":"https://orcid.org/0000-0002-8169-3261"},"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":"Weibo Liu","raw_affiliation_strings":["Department of Computer Science, Brunel University London, Uxbridge, Middlesex, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Brunel University London, Uxbridge, Middlesex, United Kingdom","institution_ids":["https://openalex.org/I59433898"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102005028","display_name":"Wenshuo Li","orcid":"https://orcid.org/0000-0003-2389-8311"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenshuo Li","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, P. R. China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, P. R. China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5025515104"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.5356,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.70097337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"45","issue":null,"first_page":"162","last_page":"167"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9976999759674072,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9962000250816345,"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/estimator","display_name":"Estimator","score":0.7019277811050415},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6581907272338867},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6408485770225525},{"id":"https://openalex.org/keywords/bernoulli-distribution","display_name":"Bernoulli distribution","score":0.6380253434181213},{"id":"https://openalex.org/keywords/realization","display_name":"Realization (probability)","score":0.5994569659233093},{"id":"https://openalex.org/keywords/bernoullis-principle","display_name":"Bernoulli's principle","score":0.5978209376335144},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5391784906387329},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5295031070709229},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.500922441482544},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.48257723450660706},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.447967529296875},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.43159401416778564},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.414040207862854},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.364726722240448},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.2837666869163513},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2545100748538971},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12590479850769043},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11677655577659607},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11449027061462402}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7019277811050415},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6581907272338867},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6408485770225525},{"id":"https://openalex.org/C27956954","wikidata":"https://www.wikidata.org/wiki/Q391371","display_name":"Bernoulli distribution","level":3,"score":0.6380253434181213},{"id":"https://openalex.org/C2781089630","wikidata":"https://www.wikidata.org/wiki/Q21856745","display_name":"Realization (probability)","level":2,"score":0.5994569659233093},{"id":"https://openalex.org/C152361515","wikidata":"https://www.wikidata.org/wiki/Q181328","display_name":"Bernoulli's principle","level":2,"score":0.5978209376335144},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5391784906387329},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5295031070709229},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.500922441482544},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.48257723450660706},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.447967529296875},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.43159401416778564},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.414040207862854},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.364726722240448},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.2837666869163513},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2545100748538971},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12590479850769043},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11677655577659607},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11449027061462402},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iconac.2016.7604912","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iconac.2016.7604912","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 22nd International Conference on Automation and Computing (ICAC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1992323389","https://openalex.org/W1994703549","https://openalex.org/W1996384036","https://openalex.org/W2002781653","https://openalex.org/W2044803016","https://openalex.org/W2077673370","https://openalex.org/W2110122461","https://openalex.org/W2115177366","https://openalex.org/W2157035230","https://openalex.org/W2164522996"],"related_works":["https://openalex.org/W2236428207","https://openalex.org/W4366387587","https://openalex.org/W2151706800","https://openalex.org/W2099646276","https://openalex.org/W1982788967","https://openalex.org/W4324123865","https://openalex.org/W2786287312","https://openalex.org/W4237517023","https://openalex.org/W2933707278","https://openalex.org/W3198935159"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"the":[3,20,23,26,35,46,56,64,84,88,92,111,129],"remote":[4,27],"state":[5,67],"estimation":[6,68],"problems":[7],"for":[8],"a":[9,52,119,136],"class":[10],"of":[11,66,87,91,128],"linear":[12],"discrete-time":[13],"systems.":[14],"An":[15],"event-triggered":[16,78],"scheme":[17],"that":[18,83,117],"schedules":[19],"transmissions":[21],"between":[22],"sensor":[24],"and":[25,108],"estimator":[28,58],"is":[29,41,121,133],"introduced":[30],"so":[31],"as":[32,105],"to":[33,43],"preserve":[34],"network":[36],"resources.":[37],"The":[38,126],"communication":[39],"process":[40],"assumed":[42],"suffer":[44],"from":[45],"missing":[47],"measurement":[48],"phenomenon":[49],"described":[50],"by":[51,135],"Bernoulli":[53],"distribution.":[54],"Additionally,":[55],"random":[57],"gain":[59],"perturbations":[60],"are":[61],"considered":[62],"in":[63,115],"realization":[65],"problems.":[69],"To":[70],"deal":[71],"with":[72],"such":[73,118],"issues,":[74],"we":[75,100],"propose":[76],"an":[77,106],"resilient":[79],"filter":[80,94,113],"algorithm.":[81],"Note":[82],"analytical":[85],"expressions":[86],"error":[89],"covariance":[90],"proposed":[93,130],"cannot":[95],"be":[96],"computed":[97],"directly.":[98],"Consequently,":[99],"construct":[101],"its":[102],"upper":[103],"bound":[104,120],"alternative":[107],"subsequently":[109],"design":[110],"suboptimal":[112],"gains":[114],"order":[116],"minimized":[122],"at":[123],"each":[124],"step.":[125],"effectiveness":[127],"filtering":[131],"algorithm":[132],"illustrated":[134],"numerical":[137],"simulation.":[138]},"counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}