{"id":"https://openalex.org/W4407937470","doi":"https://doi.org/10.1109/tsp.2025.3543721","title":"Event-Triggered State Estimation Through Confidence Level","display_name":"Event-Triggered State Estimation Through Confidence Level","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407937470","doi":"https://doi.org/10.1109/tsp.2025.3543721"},"language":"en","primary_location":{"id":"doi:10.1109/tsp.2025.3543721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3543721","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Processing","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/A5100759810","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0001-7116-510X"},"institutions":[{"id":"https://openalex.org/I75059550","display_name":"Zhejiang Gongshang University","ror":"https://ror.org/0569mkk41","country_code":"CN","type":"education","lineage":["https://openalex.org/I75059550"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Electronic Engineering, Zhejiang Gongshang University, Hangzhou, China","institution_ids":["https://openalex.org/I75059550"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100759810"],"corresponding_institution_ids":["https://openalex.org/I75059550"],"apc_list":null,"apc_paid":null,"fwci":1.1617,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74846825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"73","issue":null,"first_page":"1337","last_page":"1350"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.982200026512146,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.982200026512146,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9136000275611877,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5492947697639465},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5145246386528015},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.45111870765686035},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4365329146385193},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3725460171699524},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3657130300998688},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34666118025779724},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25688424706459045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5492947697639465},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5145246386528015},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.45111870765686035},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4365329146385193},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3725460171699524},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3657130300998688},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34666118025779724},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25688424706459045},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsp.2025.3543721","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsp.2025.3543721","pdf_url":null,"source":{"id":"https://openalex.org/S168680287","display_name":"IEEE Transactions on Signal Processing","issn_l":"1053-587X","issn":["1053-587X","1941-0476"],"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 Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G5884554301","display_name":null,"funder_award_id":"62073125","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1980550829","https://openalex.org/W1992200270","https://openalex.org/W2011753154","https://openalex.org/W2052179119","https://openalex.org/W2052334067","https://openalex.org/W2072651199","https://openalex.org/W2075111064","https://openalex.org/W2083885339","https://openalex.org/W2102643044","https://openalex.org/W2110647183","https://openalex.org/W2125794835","https://openalex.org/W2148363229","https://openalex.org/W2149083914","https://openalex.org/W2157214632","https://openalex.org/W2165519686","https://openalex.org/W2171219871","https://openalex.org/W2560597209","https://openalex.org/W2585186647","https://openalex.org/W2681546569","https://openalex.org/W2746291398","https://openalex.org/W2795115382","https://openalex.org/W2800439561","https://openalex.org/W3094071824","https://openalex.org/W3153864442","https://openalex.org/W4210646438","https://openalex.org/W4221003375","https://openalex.org/W4225680929","https://openalex.org/W4231172027","https://openalex.org/W4285132061","https://openalex.org/W4377231820","https://openalex.org/W4407937470"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","https://openalex.org/W2053286651","https://openalex.org/W2181743346","https://openalex.org/W2187401768","https://openalex.org/W2181413294","https://openalex.org/W2052122378","https://openalex.org/W2544423928","https://openalex.org/W2576994247","https://openalex.org/W2062023542"],"abstract_inverted_index":{"This":[0],"paper":[1],"considers":[2],"the":[3,30,40,68,76,87,102,108],"state":[4,50,71,105],"estimation":[5,66,112],"problem":[6],"for":[7,63],"discrete-time":[8],"linear":[9],"systems":[10],"under":[11],"event-triggered":[12,21,42],"scheme.":[13],"In":[14,37],"order":[15],"to":[16],"improve":[17],"performance,":[18],"a":[19,44,117],"novel":[20,41],"scheme":[22],"based":[23,80,91],"on":[24,81,92],"confidence":[25],"level":[26],"is":[27,52,79,90],"proposed":[28,53,69,103],"using":[29,54,116],"chi-square":[31],"distribution":[32],"and":[33,86,99,107],"mild":[34],"regularity":[35],"assumption.":[36],"terms":[38],"of":[39,67,101],"scheme,":[43],"minimum":[45],"mean":[46],"squared":[47],"error":[48],"(MMSE)":[49],"estimator":[51,72,106],"some":[55],"results":[56],"presented":[57],"in":[58],"this":[59],"paper.":[60],"Two":[61],"algorithms":[62,113],"communication":[64,110],"rate":[65,111],"MMSE":[70,104],"are":[73,114],"developed":[74],"where":[75],"first":[77],"algorithm":[78,89],"information":[82,93],"with":[83,94],"one-step":[84],"delay,":[85],"second":[88],"two-step":[95],"delay.":[96],"The":[97],"performance":[98],"effectiveness":[100],"two":[109],"illustrated":[115],"target":[118],"tracking":[119],"scenario.":[120]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}