{"id":"https://openalex.org/W2293555881","doi":"https://doi.org/10.5220/0005534003800387","title":"Bayesian Quadrature in Nonlinear Filtering","display_name":"Bayesian Quadrature in Nonlinear Filtering","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2293555881","doi":"https://doi.org/10.5220/0005534003800387","mag":"2293555881"},"language":"en","primary_location":{"id":"doi:10.5220/0005534003800387","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005534003800387","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.5220/0005534003800387","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020274843","display_name":"Jakub Pr\u00fcher","orcid":"https://orcid.org/0000-0002-5448-3760"},"institutions":[{"id":"https://openalex.org/I92715842","display_name":"University of West Bohemia","ror":"https://ror.org/040t43x18","country_code":"CZ","type":"education","lineage":["https://openalex.org/I92715842"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Jakub Pr\u00fcher","raw_affiliation_strings":["University of West Bohemia, Czech Republic"],"affiliations":[{"raw_affiliation_string":"University of West Bohemia, Czech Republic","institution_ids":["https://openalex.org/I92715842"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021593410","display_name":"Miroslav \u015cimandl","orcid":null},"institutions":[{"id":"https://openalex.org/I92715842","display_name":"University of West Bohemia","ror":"https://ror.org/040t43x18","country_code":"CZ","type":"education","lineage":["https://openalex.org/I92715842"]}],"countries":["CZ"],"is_corresponding":false,"raw_author_name":"Miroslav \u0160imandl","raw_affiliation_strings":["University of West Bohemia, Czech Republic"],"affiliations":[{"raw_affiliation_string":"University of West Bohemia, Czech Republic","institution_ids":["https://openalex.org/I92715842"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5020274843"],"corresponding_institution_ids":["https://openalex.org/I92715842"],"apc_list":null,"apc_paid":null,"fwci":1.2943,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.86676495,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"380","last_page":"387"},"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":0.9976000189781189,"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":0.9976000189781189,"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":0.9124000072479248,"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":0.9021000266075134,"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/quadrature","display_name":"Quadrature (astronomy)","score":0.6755204796791077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5708799362182617},{"id":"https://openalex.org/keywords/clenshaw\u2013curtis-quadrature","display_name":"Clenshaw\u2013Curtis quadrature","score":0.5561265349388123},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.522579550743103},{"id":"https://openalex.org/keywords/gauss\u2013kronrod-quadrature-formula","display_name":"Gauss\u2013Kronrod quadrature formula","score":0.521335244178772},{"id":"https://openalex.org/keywords/adaptive-quadrature","display_name":"Adaptive quadrature","score":0.5201540589332581},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.5030235648155212},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4988424777984619},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4921671748161316},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.47313418984413147},{"id":"https://openalex.org/keywords/numerical-integration","display_name":"Numerical integration","score":0.4715782701969147},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4662913680076599},{"id":"https://openalex.org/keywords/gaussian-quadrature","display_name":"Gaussian quadrature","score":0.46426060795783997},{"id":"https://openalex.org/keywords/gauss\u2013hermite-quadrature","display_name":"Gauss\u2013Hermite quadrature","score":0.44911256432533264},{"id":"https://openalex.org/keywords/tanh-sinh-quadrature","display_name":"Tanh-sinh quadrature","score":0.41702383756637573},{"id":"https://openalex.org/keywords/nystr\u00f6m-method","display_name":"Nystr\u00f6m method","score":0.4169192910194397},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3650609254837036},{"id":"https://openalex.org/keywords/integral-equation","display_name":"Integral equation","score":0.35878098011016846},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.31541675329208374},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.19247207045555115},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1707249879837036},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14322850108146667},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07682052254676819}],"concepts":[{"id":"https://openalex.org/C62869609","wikidata":"https://www.wikidata.org/wiki/Q28137","display_name":"Quadrature (astronomy)","level":2,"score":0.6755204796791077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5708799362182617},{"id":"https://openalex.org/C172657837","wikidata":"https://www.wikidata.org/wiki/Q5131618","display_name":"Clenshaw\u2013Curtis quadrature","level":5,"score":0.5561265349388123},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.522579550743103},{"id":"https://openalex.org/C14103991","wikidata":"https://www.wikidata.org/wiki/Q5527852","display_name":"Gauss\u2013Kronrod quadrature formula","level":4,"score":0.521335244178772},{"id":"https://openalex.org/C184599523","wikidata":"https://www.wikidata.org/wiki/Q4680758","display_name":"Adaptive quadrature","level":4,"score":0.5201540589332581},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.5030235648155212},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4988424777984619},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4921671748161316},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.47313418984413147},{"id":"https://openalex.org/C127349201","wikidata":"https://www.wikidata.org/wiki/Q753445","display_name":"Numerical integration","level":2,"score":0.4715782701969147},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4662913680076599},{"id":"https://openalex.org/C167196314","wikidata":"https://www.wikidata.org/wiki/Q767680","display_name":"Gaussian quadrature","level":4,"score":0.46426060795783997},{"id":"https://openalex.org/C167590341","wikidata":"https://www.wikidata.org/wiki/Q5527850","display_name":"Gauss\u2013Hermite quadrature","level":5,"score":0.44911256432533264},{"id":"https://openalex.org/C162046254","wikidata":"https://www.wikidata.org/wiki/Q7683194","display_name":"Tanh-sinh quadrature","level":5,"score":0.41702383756637573},{"id":"https://openalex.org/C48265008","wikidata":"https://www.wikidata.org/wiki/Q7071295","display_name":"Nystr\u00f6m method","level":3,"score":0.4169192910194397},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3650609254837036},{"id":"https://openalex.org/C27016315","wikidata":"https://www.wikidata.org/wiki/Q580101","display_name":"Integral equation","level":2,"score":0.35878098011016846},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.31541675329208374},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.19247207045555115},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1707249879837036},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14322850108146667},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07682052254676819},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5220/0005534003800387","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005534003800387","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.5220/0005534003800387","is_oa":true,"landing_page_url":"https://doi.org/10.5220/0005534003800387","pdf_url":null,"source":null,"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Informatics in Control, Automation and Robotics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4377005030","https://openalex.org/W4294281846","https://openalex.org/W2289189603","https://openalex.org/W2550867510","https://openalex.org/W4317584040","https://openalex.org/W2032097736","https://openalex.org/W2929787118","https://openalex.org/W2127682847","https://openalex.org/W3050590833","https://openalex.org/W4390128132"],"abstract_inverted_index":{"The":[0,18,29,40,105,137],"paper":[1],"deals":[2],"with":[3,130],"the":[4,24,35,44,61,73,76,78,81,102,111,116,122,125,131,141],"state":[5],"estimation":[6,91],"of":[7,14,34,65,75,80,92,124,140],"nonlinear":[8],"stochastic":[9],"discrete-time":[10],"systems":[11],"by":[12,27,37,58,98],"means":[13],"quadrature-based":[15,95],"filtering":[16,96],"algorithms.":[17,120],"algorithms":[19,97],"use":[20],"quadrature":[21,42],"to":[22,55,72,110],"approximate":[23],"moments":[25],"given":[26],"integrals.":[28],"aim":[30],"is":[31,54,68,83,128],"at":[32],"evaluation":[33],"integral":[36,45,82,103],"Bayesian":[38,41],"quadrature.":[39],"perceives":[43],"itself":[46],"as":[47],"a":[48,149],"random":[49],"variable,":[50],"on":[51,60],"which":[52],"inference":[53],"be":[56],"performed":[57],"conditioning":[59],"function":[62],"evaluations.":[63],"Advantage":[64],"this":[66,87],"approach":[67],"that":[69],"in":[70,94,134],"addition":[71],"value":[74],"integral,":[77],"variance":[79],"also":[84],"obtained.":[85],"In":[86],"paper,":[88],"we":[89],"improve":[90],"covariances":[93],"taking":[99],"into":[100],"account":[101],"variance.":[104],"proposed":[106],"modifications":[107],"are":[108],"applied":[109],"Gauss-Hermite":[112],"Kalman":[113,118],"filter":[114,119],"and":[115,148],"unscented":[117],"Finally,":[121],"performance":[123],"modified":[126,138],"filters":[127,142],"compared":[129],"unmodified":[132],"versions":[133,139],"numerical":[135],"simulations.":[136],"exhibit":[143],"significantly":[144],"improved":[145],"estimate":[146],"credibility":[147],"comparable":[150],"root-mean-square":[151],"error.":[152]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
