{"id":"https://openalex.org/W2982392242","doi":"https://doi.org/10.1109/icstcc.2019.8885928","title":"SVD-Based Factored-Form Extended Kalman Filters for State Estimation in Nonlinear Continuous-Discrete Stochastic Systems","display_name":"SVD-Based Factored-Form Extended Kalman Filters for State Estimation in Nonlinear Continuous-Discrete Stochastic Systems","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2982392242","doi":"https://doi.org/10.1109/icstcc.2019.8885928","mag":"2982392242"},"language":"en","primary_location":{"id":"doi:10.1109/icstcc.2019.8885928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icstcc.2019.8885928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 23rd International Conference on System Theory, Control and Computing (ICSTCC)","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/A5023299790","display_name":"Gennady Yu. Kulikov","orcid":"https://orcid.org/0000-0002-1663-6009"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Gennady Yu. Kulikov","raw_affiliation_strings":["Center for Computational and Stochastic Mathematics, Universidade de Lisboa, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"Center for Computational and Stochastic Mathematics, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I141596103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041363585","display_name":"Maria V. Kulikova","orcid":"https://orcid.org/0000-0001-8470-9831"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Maria V. Kulikova","raw_affiliation_strings":["Center for Computational and Stochastic Mathematics, Universidade de Lisboa, Lisbon, Portugal"],"affiliations":[{"raw_affiliation_string":"Center for Computational and Stochastic Mathematics, Universidade de Lisboa, Lisbon, Portugal","institution_ids":["https://openalex.org/I141596103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5023299790"],"corresponding_institution_ids":["https://openalex.org/I141596103"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.13151555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"50","issue":null,"first_page":"137","last_page":"142"},"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":0.9994999766349792,"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":0.9994999766349792,"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":0.9945999979972839,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/kalman-filter","display_name":"Kalman filter","score":0.8114774227142334},{"id":"https://openalex.org/keywords/moving-horizon-estimation","display_name":"Moving horizon estimation","score":0.6497635245323181},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.6053386926651001},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5918923616409302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5541434288024902},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5312530398368835},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.47821614146232605},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4411373436450958},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"Singular value decomposition","score":0.4338219463825226},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3894227147102356},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3799477815628052},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3249177932739258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2202741503715515},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1209736168384552},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07018789649009705}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.8114774227142334},{"id":"https://openalex.org/C50050547","wikidata":"https://www.wikidata.org/wiki/Q6927137","display_name":"Moving horizon estimation","level":4,"score":0.6497635245323181},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.6053386926651001},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5918923616409302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5541434288024902},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5312530398368835},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.47821614146232605},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4411373436450958},{"id":"https://openalex.org/C22789450","wikidata":"https://www.wikidata.org/wiki/Q420904","display_name":"Singular value decomposition","level":2,"score":0.4338219463825226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3894227147102356},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3799477815628052},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3249177932739258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2202741503715515},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1209736168384552},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07018789649009705},{"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/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icstcc.2019.8885928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icstcc.2019.8885928","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 23rd International Conference on System Theory, Control and Computing (ICSTCC)","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":25,"referenced_works":["https://openalex.org/W637574335","https://openalex.org/W1537786506","https://openalex.org/W1603631609","https://openalex.org/W1969634731","https://openalex.org/W1980139451","https://openalex.org/W2022749616","https://openalex.org/W2083402998","https://openalex.org/W2096897575","https://openalex.org/W2105934661","https://openalex.org/W2122512809","https://openalex.org/W2144903371","https://openalex.org/W2154056988","https://openalex.org/W2294296888","https://openalex.org/W2483253858","https://openalex.org/W2555505236","https://openalex.org/W2583661442","https://openalex.org/W2590000906","https://openalex.org/W2790374560","https://openalex.org/W2887743901","https://openalex.org/W2900918876","https://openalex.org/W2906340035","https://openalex.org/W3102254722","https://openalex.org/W3104854879","https://openalex.org/W3122994734","https://openalex.org/W4231021340"],"related_works":["https://openalex.org/W2103062922","https://openalex.org/W2162299404","https://openalex.org/W2674597762","https://openalex.org/W2562855176","https://openalex.org/W4300640027","https://openalex.org/W1506303183","https://openalex.org/W2328410657","https://openalex.org/W2064665624","https://openalex.org/W2258371975","https://openalex.org/W1601369057"],"abstract_inverted_index":{"Thisresearch":[0],"aims":[1],"at":[2],"presenting":[3],"novel":[4,145],"Extended":[5],"Kalman":[6],"Filtering":[7],"(EKF)":[8],"state":[9,57,141],"estimation":[10,58,142],"tools":[11],"intended":[12],"for":[13,91],"treating":[14],"nonlinear":[15],"continuous-discrete":[16],"stochastic":[17],"scenarios,":[18],"whose":[19],"process":[20],"model":[21,33],"is":[22,46],"simulated":[23],"by":[24],"an":[25,161],"It\u00f4-type":[26],"Stochastic":[27],"Differentiat":[28],"Equation":[29],"(SDE)":[30],"and":[31,64,73,96,101,118,129,150,152],"measurement":[32],"has":[34],"a":[35,140],"discrete-time":[36],"fashion.":[37],"Our":[38,144],"investigation":[39],"employs":[40],"the":[41,62,68,82,86,94,109,126,131],"so-called":[42],"\u201cdiscrete-discrete\u201d":[43],"approach,":[44],"which":[45],"grounded":[47,60],"in":[48,61,98,160],"SDE":[49],"discretization":[50],"schemes.":[51],"In":[52,104],"particular,":[53],"it":[54],"presents":[55],"EKF-based":[56],"algorithms":[59],"Euler-Maruyama":[63],"It\u00f4-Taylor":[65],"discretizations":[66],"of":[67,77,84,93,108,125],"strong":[69],"convergence":[70],"orders":[71],"0.5":[72],"1.5.":[74],"The":[75],"novelty":[76],"these":[78],"methods":[79],"stems":[80],"from":[81],"idea":[83],"using":[85],"Singular":[87],"Value":[88],"Decomposition":[89],"(SVD)":[90],"evolution":[92],"mean":[95],"covariance":[97,111],"their":[99,113,156],"time-":[100],"measurement-update":[102],"steps.":[103],"other":[105],"words,":[106],"instead":[107],"full":[110],"matrices,":[112],"SVD":[114],"factors":[115],"are":[116,147],"computed":[117],"propagated,":[119],"only.":[120],"This":[121],"raises":[122],"numerical":[123],"robustness":[124],"EKF":[127,158],"technique":[128],"allows":[130],"information":[132],"matrix":[133],"to":[134,155],"be":[135],"easily":[136],"available":[137],"within":[138],"such":[139],"run.":[143],"filters":[146],"justified":[148],"theoretically":[149],"examined":[151],"compared":[153],"numerically":[154],"classical":[157],"predecessors":[159],"aircraft":[162],"coordinated":[163],"turn":[164],"scenario":[165],"with":[166],"ill-conditioned":[167],"measurements.":[168]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}