{"id":"https://openalex.org/W2149777549","doi":"https://doi.org/10.1109/cca.2013.6662805","title":"Nonlinear estimation using risk sensitive formulation of cubature quadrature Kalman filter","display_name":"Nonlinear estimation using risk sensitive formulation of cubature quadrature Kalman filter","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2149777549","doi":"https://doi.org/10.1109/cca.2013.6662805","mag":"2149777549"},"language":"en","primary_location":{"id":"doi:10.1109/cca.2013.6662805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cca.2013.6662805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Control Applications (CCA)","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/A5101920772","display_name":"Swati","orcid":null},"institutions":[{"id":"https://openalex.org/I132153292","display_name":"Indian Institute of Technology Patna","ror":"https://ror.org/01ft5vz71","country_code":"IN","type":"education","lineage":["https://openalex.org/I132153292"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Swati","raw_affiliation_strings":["Indian Institute of Technology Patna, Patna, Bihar, IN"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Patna, Patna, Bihar, IN","institution_ids":["https://openalex.org/I132153292"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071565438","display_name":"Shovan Bhaumik","orcid":"https://orcid.org/0000-0002-7980-9923"},"institutions":[{"id":"https://openalex.org/I132153292","display_name":"Indian Institute of Technology Patna","ror":"https://ror.org/01ft5vz71","country_code":"IN","type":"education","lineage":["https://openalex.org/I132153292"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shovan Bhaumik","raw_affiliation_strings":["Indian Institute of Technology Patna, Patna, Bihar, IN"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Patna, Patna, Bihar, IN","institution_ids":["https://openalex.org/I132153292"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101920772"],"corresponding_institution_ids":["https://openalex.org/I132153292"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.11654977,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"539","last_page":"544"},"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":0.9998999834060669,"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":0.9998999834060669,"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/T11325","display_name":"Inertial Sensor and Navigation","score":0.9283999800682068,"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/quadrature","display_name":"Quadrature (astronomy)","score":0.7370742559432983},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.736036479473114},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6264485120773315},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5065275430679321},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4760701060295105},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.46307694911956787},{"id":"https://openalex.org/keywords/adaptive-quadrature","display_name":"Adaptive quadrature","score":0.44404536485671997},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.4403613805770874},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4348062574863434},{"id":"https://openalex.org/keywords/clenshaw\u2013curtis-quadrature","display_name":"Clenshaw\u2013Curtis quadrature","score":0.4263514578342438},{"id":"https://openalex.org/keywords/invariant-extended-kalman-filter","display_name":"Invariant extended Kalman filter","score":0.4262402057647705},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.40605834126472473},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.40209951996803284},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3909358084201813},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.35295283794403076},{"id":"https://openalex.org/keywords/gaussian-quadrature","display_name":"Gaussian quadrature","score":0.30656152963638306},{"id":"https://openalex.org/keywords/nystr\u00f6m-method","display_name":"Nystr\u00f6m method","score":0.18532440066337585},{"id":"https://openalex.org/keywords/integral-equation","display_name":"Integral equation","score":0.15558472275733948},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13194707036018372},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12009543180465698},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10793715715408325},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.08129575848579407},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.07528582215309143}],"concepts":[{"id":"https://openalex.org/C62869609","wikidata":"https://www.wikidata.org/wiki/Q28137","display_name":"Quadrature (astronomy)","level":2,"score":0.7370742559432983},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.736036479473114},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6264485120773315},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5065275430679321},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4760701060295105},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.46307694911956787},{"id":"https://openalex.org/C184599523","wikidata":"https://www.wikidata.org/wiki/Q4680758","display_name":"Adaptive quadrature","level":4,"score":0.44404536485671997},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.4403613805770874},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4348062574863434},{"id":"https://openalex.org/C172657837","wikidata":"https://www.wikidata.org/wiki/Q5131618","display_name":"Clenshaw\u2013Curtis quadrature","level":5,"score":0.4263514578342438},{"id":"https://openalex.org/C8639503","wikidata":"https://www.wikidata.org/wiki/Q6059511","display_name":"Invariant extended Kalman filter","level":4,"score":0.4262402057647705},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.40605834126472473},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.40209951996803284},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3909358084201813},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35295283794403076},{"id":"https://openalex.org/C167196314","wikidata":"https://www.wikidata.org/wiki/Q767680","display_name":"Gaussian quadrature","level":4,"score":0.30656152963638306},{"id":"https://openalex.org/C48265008","wikidata":"https://www.wikidata.org/wiki/Q7071295","display_name":"Nystr\u00f6m method","level":3,"score":0.18532440066337585},{"id":"https://openalex.org/C27016315","wikidata":"https://www.wikidata.org/wiki/Q580101","display_name":"Integral equation","level":2,"score":0.15558472275733948},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13194707036018372},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12009543180465698},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10793715715408325},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.08129575848579407},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.07528582215309143},{"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/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/cca.2013.6662805","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cca.2013.6662805","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Conference on Control Applications (CCA)","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":23,"referenced_works":["https://openalex.org/W1987919125","https://openalex.org/W2030364295","https://openalex.org/W2036796374","https://openalex.org/W2047032678","https://openalex.org/W2054091988","https://openalex.org/W2061750459","https://openalex.org/W2069877263","https://openalex.org/W2076222362","https://openalex.org/W2085558428","https://openalex.org/W2090948443","https://openalex.org/W2094183867","https://openalex.org/W2096887879","https://openalex.org/W2114926561","https://openalex.org/W2148058527","https://openalex.org/W2157092074","https://openalex.org/W2330381107","https://openalex.org/W2544061814","https://openalex.org/W2545027052","https://openalex.org/W2583582904","https://openalex.org/W4213059792","https://openalex.org/W4285719527","https://openalex.org/W6672087131","https://openalex.org/W6733097720"],"related_works":["https://openalex.org/W4377005030","https://openalex.org/W2550867510","https://openalex.org/W4294281846","https://openalex.org/W3050590833","https://openalex.org/W2226319400","https://openalex.org/W2369820583","https://openalex.org/W4377968225","https://openalex.org/W2125520544","https://openalex.org/W2029905597","https://openalex.org/W2929787118"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"a":[3,59],"novel":[4],"method":[5],"to":[6],"minimize":[7],"the":[8,36,75,78],"risk":[9,24,48,55],"sensitive":[10,25,49],"cost":[11],"function":[12],"based":[13],"on":[14],"cubature":[15,26,79],"quadrature":[16,27,80],"algorithm.":[17],"The":[18,31,44,64],"proposed":[19,47],"filter":[20,29,50,82],"is":[21,51],"named":[22],"as":[23],"Kalman":[28,81],"(RSCQKF).":[30],"theory":[32],"and":[33],"formulation":[34],"of":[35,46],"RSCQKF":[37,76],"have":[38],"been":[39],"presented":[40],"in":[41],"this":[42],"paper.":[43],"performance":[45],"compared":[52],"with":[53],"its":[54],"neutral":[56],"counterpart":[57],"for":[58,69],"ballistic":[60],"target":[61],"tracking":[62],"problem.":[63],"simulation":[65],"results":[66],"show":[67],"that":[68],"wrongly":[70],"modeled":[71],"process":[72],"noise":[73],"parameters,":[74],"outperforms":[77],"(CQKF).":[83]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
