{"id":"https://openalex.org/W2894369447","doi":"https://doi.org/10.1137/16m1106791","title":"Analysis of Normalized Least Mean Squares-Based Consensus Adaptive Filters under a General Information Condition","display_name":"Analysis of Normalized Least Mean Squares-Based Consensus Adaptive Filters under a General Information Condition","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2894369447","doi":"https://doi.org/10.1137/16m1106791","mag":"2894369447"},"language":"en","primary_location":{"id":"doi:10.1137/16m1106791","is_oa":false,"landing_page_url":"https://doi.org/10.1137/16m1106791","pdf_url":null,"source":{"id":"https://openalex.org/S897311980","display_name":"SIAM Journal on Control and Optimization","issn_l":"0363-0129","issn":["0363-0129","1095-7138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Control and Optimization","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/A5084014783","display_name":"Siyu Xie","orcid":"https://orcid.org/0000-0001-7234-7861"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Siyu Xie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5115601874","display_name":"Lei Guo","orcid":"https://orcid.org/0000-0003-1789-5202"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lei Guo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5343,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.91895407,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"56","issue":"5","first_page":"3404","last_page":"3431"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9980000257492065,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9980000257492065,"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/T11233","display_name":"Advanced Adaptive Filtering Techniques","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.9930999875068665,"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/mathematics","display_name":"Mathematics","score":0.8006527423858643},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6142934560775757},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.6002812385559082},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5431960225105286},{"id":"https://openalex.org/keywords/adaptive-filter","display_name":"Adaptive filter","score":0.5324293971061707},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5212807655334473},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5123766660690308},{"id":"https://openalex.org/keywords/independence","display_name":"Independence (probability theory)","score":0.4811933636665344},{"id":"https://openalex.org/keywords/recursive-least-squares-filter","display_name":"Recursive least squares filter","score":0.4760798513889313},{"id":"https://openalex.org/keywords/filtering-problem","display_name":"Filtering problem","score":0.46958819031715393},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.42389440536499023},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4100692868232727},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.34027576446533203},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.28919681906700134},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.22507444024085999},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.18968433141708374},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.18670421838760376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14961472153663635},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.08677870035171509},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.08396100997924805}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.8006527423858643},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6142934560775757},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.6002812385559082},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5431960225105286},{"id":"https://openalex.org/C102248274","wikidata":"https://www.wikidata.org/wiki/Q168388","display_name":"Adaptive filter","level":2,"score":0.5324293971061707},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5212807655334473},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5123766660690308},{"id":"https://openalex.org/C35651441","wikidata":"https://www.wikidata.org/wiki/Q625303","display_name":"Independence (probability theory)","level":2,"score":0.4811933636665344},{"id":"https://openalex.org/C145249878","wikidata":"https://www.wikidata.org/wiki/Q2835868","display_name":"Recursive least squares filter","level":3,"score":0.4760798513889313},{"id":"https://openalex.org/C41614226","wikidata":"https://www.wikidata.org/wiki/Q5449244","display_name":"Filtering problem","level":4,"score":0.46958819031715393},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.42389440536499023},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4100692868232727},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.34027576446533203},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28919681906700134},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22507444024085999},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.18968433141708374},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.18670421838760376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14961472153663635},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.08677870035171509},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.08396100997924805},{"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/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/16m1106791","is_oa":false,"landing_page_url":"https://doi.org/10.1137/16m1106791","pdf_url":null,"source":{"id":"https://openalex.org/S897311980","display_name":"SIAM Journal on Control and Optimization","issn_l":"0363-0129","issn":["0363-0129","1095-7138"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Control and Optimization","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6967058303","display_name":null,"funder_award_id":"11688101","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G736576972","display_name":null,"funder_award_id":"61227902","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":28,"referenced_works":["https://openalex.org/W1966992934","https://openalex.org/W1998692453","https://openalex.org/W2015424007","https://openalex.org/W2042664989","https://openalex.org/W2087197472","https://openalex.org/W2091816029","https://openalex.org/W2098865243","https://openalex.org/W2108306501","https://openalex.org/W2110104109","https://openalex.org/W2118776392","https://openalex.org/W2121820607","https://openalex.org/W2130359405","https://openalex.org/W2141730627","https://openalex.org/W2155487796","https://openalex.org/W2156415659","https://openalex.org/W2158736939","https://openalex.org/W2161141257","https://openalex.org/W2164438483","https://openalex.org/W2169329579","https://openalex.org/W2173639595","https://openalex.org/W2395429589","https://openalex.org/W2412976330","https://openalex.org/W2428338610","https://openalex.org/W2588504142","https://openalex.org/W2792511998","https://openalex.org/W2794841504","https://openalex.org/W2963446564","https://openalex.org/W4238850922"],"related_works":["https://openalex.org/W2081837274","https://openalex.org/W2164852895","https://openalex.org/W2027630946","https://openalex.org/W2529395309","https://openalex.org/W3119704784","https://openalex.org/W4282823030","https://openalex.org/W2013006297","https://openalex.org/W2144530466","https://openalex.org/W2612844333","https://openalex.org/W2792824092"],"abstract_inverted_index":{"A":[0,54],"distributed":[1],"adaptive":[2,72,118],"filter":[3],"can":[4,140,152],"estimate":[5],"an":[6],"unknown":[7],"signal":[8],"of":[9,14,30,39,47,68,71,87,116,124],"interest":[10],"by":[11,144],"a":[12,45,121,145],"set":[13],"sensors":[15],"working":[16],"cooperatively,":[17],"when":[18],"any":[19],"individual":[20],"sensor":[21],"cannot":[22],"fulfill":[23],"the":[24,66,88,117,134],"filtering":[25,40],"task":[26],"due":[27],"to":[28,64,76,96,106],"lack":[29],"necessary":[31,113],"information":[32,60,102],"condition.":[33],"This":[34],"paper":[35],"considers":[36],"these":[37,69],"kinds":[38,70],"problems":[41],"and":[42,56,85,156],"focuses":[43],"on":[44],"class":[46,123],"consensus":[48],"normalized":[49],"least":[50],"mean":[51,135],"squares-based":[52],"algorithms.":[53],"general":[55,101],"weakest":[57],"possible":[58],"cooperative":[59],"condition":[61,103],"is":[62,104],"introduced":[63],"guarantee":[65],"stability":[67,115],"filters,":[73],"without":[74],"resorting":[75],"commonly":[77],"used":[78],"but":[79,111],"stringent":[80],"conditions":[81],"such":[82],"as":[83],"independence":[84],"stationarity":[86],"system":[89],"signals,":[90],"which":[91],"makes":[92],"our":[93],"theory":[94],"applicable":[95],"feedback":[97],"systems.":[98],"Moreover,":[99],"this":[100],"shown":[105],"be":[107,141,153],"not":[108],"only":[109],"sufficient":[110],"also":[112],"for":[114,120],"filters":[119],"large":[122],"random":[125],"signals":[126],"with":[127],"decaying":[128],"dependence.":[129],"We":[130],"further":[131],"show":[132],"that":[133,151],"square":[136],"tracking":[137],"error":[138],"matrix":[139,149],"approximately":[142],"calculated":[143],"linear":[146],"deterministic":[147],"difference":[148],"equation":[150],"easily":[154],"evaluated":[155],"analyzed.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
