{"id":"https://openalex.org/W1983294551","doi":"https://doi.org/10.1109/iceee.2014.6978257","title":"A generalized algorithm for nonlinear state estimation using extended UFIR filtering","display_name":"A generalized algorithm for nonlinear state estimation using extended UFIR filtering","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W1983294551","doi":"https://doi.org/10.1109/iceee.2014.6978257","mag":"1983294551"},"language":"en","primary_location":{"id":"doi:10.1109/iceee.2014.6978257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceee.2014.6978257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","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/A5000142505","display_name":"Moises Granados-Cruz","orcid":null},"institutions":[{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Moises Granados-Cruz","raw_affiliation_strings":["Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, Mexico","Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, 36885, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, Mexico","institution_ids":["https://openalex.org/I129858807"]},{"raw_affiliation_string":"Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, 36885, Mexico","institution_ids":["https://openalex.org/I129858807"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058205797","display_name":"Yuriy S. Shmaliy","orcid":"https://orcid.org/0000-0001-6848-453X"},"institutions":[{"id":"https://openalex.org/I129858807","display_name":"Universidad de Guanajuato","ror":"https://ror.org/058cjye32","country_code":"MX","type":"education","lineage":["https://openalex.org/I129858807"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Yuriy S. Shmaliy","raw_affiliation_strings":["Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, Mexico","Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, 36885, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, Mexico","institution_ids":["https://openalex.org/I129858807"]},{"raw_affiliation_string":"Department of Electronics Engineering, Universidad de Guanajuato, Salamanca, 36885, Mexico","institution_ids":["https://openalex.org/I129858807"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023417619","display_name":"Shunyi Zhao","orcid":"https://orcid.org/0000-0001-5363-8305"},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shunyi Zhao","raw_affiliation_strings":["Key Lab. of Adv. Process Contr. for Light Industry, Jiangnan University, Wuxi, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Lab. of Adv. Process Contr. for Light Industry, Jiangnan University, Wuxi, P.R. China","institution_ids":["https://openalex.org/I111599522"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06419967,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"3068","issue":null,"first_page":"1","last_page":"6"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9951000213623047,"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/T11236","display_name":"Control Systems and Identification","score":0.9886000156402588,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.7334167957305908},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6535677313804626},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6393517255783081},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5918854475021362},{"id":"https://openalex.org/keywords/nonlinear-filter","display_name":"Nonlinear filter","score":0.5418591499328613},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5314786434173584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.500582218170166},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4791397750377655},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4499189257621765},{"id":"https://openalex.org/keywords/noise-measurement","display_name":"Noise measurement","score":0.44280943274497986},{"id":"https://openalex.org/keywords/filtering-problem","display_name":"Filtering problem","score":0.44039595127105713},{"id":"https://openalex.org/keywords/impulse-noise","display_name":"Impulse noise","score":0.42799150943756104},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4249313771724701},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.36085233092308044},{"id":"https://openalex.org/keywords/filter-design","display_name":"Filter design","score":0.31017687916755676},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.26846206188201904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18906128406524658},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.13575831055641174}],"concepts":[{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.7334167957305908},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6535677313804626},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6393517255783081},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5918854475021362},{"id":"https://openalex.org/C137685913","wikidata":"https://www.wikidata.org/wiki/Q4316763","display_name":"Nonlinear filter","level":4,"score":0.5418591499328613},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5314786434173584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.500582218170166},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4791397750377655},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4499189257621765},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.44280943274497986},{"id":"https://openalex.org/C41614226","wikidata":"https://www.wikidata.org/wiki/Q5449244","display_name":"Filtering problem","level":4,"score":0.44039595127105713},{"id":"https://openalex.org/C127372701","wikidata":"https://www.wikidata.org/wiki/Q16979398","display_name":"Impulse noise","level":3,"score":0.42799150943756104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4249313771724701},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.36085233092308044},{"id":"https://openalex.org/C22597639","wikidata":"https://www.wikidata.org/wiki/Q5449227","display_name":"Filter design","level":3,"score":0.31017687916755676},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.26846206188201904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18906128406524658},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.13575831055641174},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iceee.2014.6978257","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iceee.2014.6978257","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W615449195","https://openalex.org/W1948379568","https://openalex.org/W1964842932","https://openalex.org/W1967009834","https://openalex.org/W1972791196","https://openalex.org/W1979255915","https://openalex.org/W1983030826","https://openalex.org/W1998914394","https://openalex.org/W2015826698","https://openalex.org/W2020934227","https://openalex.org/W2071165864","https://openalex.org/W2093735221","https://openalex.org/W2098613108","https://openalex.org/W2102047877","https://openalex.org/W2105532434","https://openalex.org/W2105594594","https://openalex.org/W2113373687","https://openalex.org/W2120717581","https://openalex.org/W2122512809","https://openalex.org/W2128457724","https://openalex.org/W2137674749","https://openalex.org/W2139251171","https://openalex.org/W2160337655","https://openalex.org/W2790374560","https://openalex.org/W2794413559","https://openalex.org/W4247537702","https://openalex.org/W4256197952","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1995913844","https://openalex.org/W2756361190","https://openalex.org/W2157134024","https://openalex.org/W2593128366","https://openalex.org/W2143967903","https://openalex.org/W3143566216","https://openalex.org/W1589189985","https://openalex.org/W2151194595","https://openalex.org/W2118824338","https://openalex.org/W2002521569"],"abstract_inverted_index":{"The":[0,67],"unbiased":[1],"finite":[2],"impulse":[3],"response":[4],"(UFIR)":[5],"filter":[6,49,98],"provides":[7],"better":[8],"accuracy":[9,114],"when":[10],"the":[11,20,44,47,52,83,95,104,121],"noise":[12,53,84,123],"statistics":[13,54,124],"are":[14,91],"not":[15],"fully":[16],"known.":[17],"Based":[18],"on":[19],"UFIR":[21,30,45],"approach,":[22],"a":[23],"generalized":[24],"algorithm":[25,109],"is":[26,110],"developed":[27],"for":[28,82],"extended":[29,96],"(EFIR)":[31],"filtering":[32,90,108],"of":[33,61,88],"nonlinear":[34],"models":[35],"in":[36,113],"discrete":[37],"time":[38],"state":[39],"space.":[40],"As":[41],"well":[42],"as":[43],"filter,":[46],"EFIR":[48,89,107],"completely":[50],"ignore":[51],"and":[55,79,115,125],"requires":[56],"an":[57],"optimal":[58,68],"averaging":[59],"horizon":[60,69],"N":[62],"<sub":[63],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[64],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">opt</sub>":[65],"points.":[66],"can":[70],"be":[71],"determined":[72],"via":[73],"measurements":[74],"with":[75],"much":[76],"smaller":[77],"efforts":[78],"cost":[80],"than":[81,118],"statistics.":[85],"These":[86],"properties":[87],"distinctive":[92],"advantages":[93],"against":[94],"Kalman":[97],"(EKF).":[99],"Extensive":[100],"simulations":[101],"confirm":[102],"that":[103],"proposed":[105],"iterative":[106],"more":[111,116],"successful":[112],"robust":[117],"EKF":[119],"under":[120],"unknown":[122],"model":[126],"uncertainties.":[127]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
