{"id":"https://openalex.org/W2736288810","doi":"https://doi.org/10.23919/acc.2017.7963338","title":"Fully distributed nonlinear state estimation using sensor networks","display_name":"Fully distributed nonlinear state estimation using sensor networks","publication_year":2017,"publication_date":"2017-05-01","ids":{"openalex":"https://openalex.org/W2736288810","doi":"https://doi.org/10.23919/acc.2017.7963338","mag":"2736288810"},"language":"en","primary_location":{"id":"doi:10.23919/acc.2017.7963338","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101748374","display_name":"Shaocheng Wang","orcid":"https://orcid.org/0000-0002-8094-0056"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaocheng Wang","raw_affiliation_strings":["Department of Mechanical Engineering, University of California, Riverside, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339137","display_name":"Wei Ren","orcid":"https://orcid.org/0000-0002-2818-9752"},"institutions":[{"id":"https://openalex.org/I103635307","display_name":"University of California, Riverside","ror":"https://ror.org/03nawhv43","country_code":"US","type":"education","lineage":["https://openalex.org/I103635307"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wei Ren","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California, Riverside, CA, USA","institution_ids":["https://openalex.org/I103635307"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I103635307"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2562","last_page":"2567"},"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":0.9990000128746033,"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":0.9990000128746033,"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":0.9975000023841858,"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/T10249","display_name":"Distributed Control Multi-Agent Systems","score":0.9959999918937683,"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/jacobian-matrix-and-determinant","display_name":"Jacobian matrix and determinant","score":0.7929901480674744},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6280962228775024},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.6156205534934998},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.6031009554862976},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5609106421470642},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5545192360877991},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5401313304901123},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.5280954241752625},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5149232149124146},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49619871377944946},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.49512186646461487},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4467945396900177},{"id":"https://openalex.org/keywords/fusion-center","display_name":"Fusion center","score":0.4457712769508362},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.43799251317977905},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4341222643852234},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2846148610115051},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.15234848856925964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14389747381210327}],"concepts":[{"id":"https://openalex.org/C200331156","wikidata":"https://www.wikidata.org/wiki/Q506041","display_name":"Jacobian matrix and determinant","level":2,"score":0.7929901480674744},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6280962228775024},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.6156205534934998},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.6031009554862976},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5609106421470642},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5545192360877991},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5401313304901123},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.5280954241752625},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5149232149124146},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49619871377944946},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.49512186646461487},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4467945396900177},{"id":"https://openalex.org/C2781234732","wikidata":"https://www.wikidata.org/wiki/Q943505","display_name":"Fusion center","level":4,"score":0.4457712769508362},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.43799251317977905},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4341222643852234},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2846148610115051},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.15234848856925964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14389747381210327},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc.2017.7963338","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc.2017.7963338","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 American Control Conference (ACC)","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":29,"referenced_works":["https://openalex.org/W391578156","https://openalex.org/W1518991729","https://openalex.org/W1531532259","https://openalex.org/W1612263467","https://openalex.org/W1963570735","https://openalex.org/W2000340713","https://openalex.org/W2014736088","https://openalex.org/W2020934227","https://openalex.org/W2024307985","https://openalex.org/W2024522552","https://openalex.org/W2093727232","https://openalex.org/W2101051269","https://openalex.org/W2116564195","https://openalex.org/W2138095955","https://openalex.org/W2138896396","https://openalex.org/W2145122884","https://openalex.org/W2148234182","https://openalex.org/W2153344006","https://openalex.org/W2158191982","https://openalex.org/W2160944185","https://openalex.org/W2169329579","https://openalex.org/W2246456512","https://openalex.org/W2247772557","https://openalex.org/W2286561681","https://openalex.org/W2484917588","https://openalex.org/W2569796741","https://openalex.org/W3100829823","https://openalex.org/W6631021461","https://openalex.org/W6683269704"],"related_works":["https://openalex.org/W2007405763","https://openalex.org/W3136087161","https://openalex.org/W3082507779","https://openalex.org/W2000147971","https://openalex.org/W1558339915","https://openalex.org/W2066353259","https://openalex.org/W2734417830","https://openalex.org/W2349308680","https://openalex.org/W2060761112","https://openalex.org/W413436171"],"abstract_inverted_index":{"This":[0],"paper":[1],"studies":[2],"the":[3,20,29,36,40,64,85,91,98,109,112],"problem":[4],"of":[5,58,111],"fully":[6],"distributed":[7],"state":[8],"estimation":[9],"using":[10],"networked":[11],"local":[12,41,92],"sensors.":[13],"Specifically,":[14],"our":[15],"previously":[16],"proposed":[17],"algorithm,":[18],"namely,":[19],"Distributed":[21],"Hybrid":[22],"Information":[23],"Fusion":[24],"algorithm":[25,66],"is":[26,48,61,79,105],"extended":[27,65,113],"to":[28,107],"scenario":[30],"with":[31,87],"nonlinearities":[32],"involved":[33],"in":[34,97],"both":[35],"process":[37],"model":[38],"and":[39],"sensing":[42,89],"models.":[43],"The":[44],"unscented":[45],"transformation":[46],"approach":[47],"adopted":[49],"for":[50,84],"such":[51],"an":[52],"extension":[53],"so":[54],"that":[55,83],"no":[56],"computation":[57],"Jacobian":[59],"matrix":[60],"needed.":[62],"Moreover,":[63],"requires":[67],"only":[68],"one":[69],"communication":[70],"iteration":[71],"between":[72],"every":[73],"two":[74],"consecutive":[75],"time":[76],"instants.":[77],"It":[78],"also":[80],"analytically":[81],"shown":[82],"case":[86],"linear":[88],"models,":[90],"estimate":[93],"errors":[94],"are":[95],"bounded":[96],"mean":[99],"square":[100],"sense.":[101],"A":[102],"simulation":[103],"example":[104],"used":[106],"illustrate":[108],"effectiveness":[110],"algorithm.":[114]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
