{"id":"https://openalex.org/W2083744260","doi":"https://doi.org/10.1109/icca.2013.6564932","title":"Ellipsoidal set based robust particle filtering for recursive Bayesian state estimation","display_name":"Ellipsoidal set based robust particle filtering for recursive Bayesian state estimation","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2083744260","doi":"https://doi.org/10.1109/icca.2013.6564932","mag":"2083744260"},"language":"en","primary_location":{"id":"doi:10.1109/icca.2013.6564932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2013.6564932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","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/A5032831658","display_name":"Xinguang Shao","orcid":null},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xinguang Shao","raw_affiliation_strings":["Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada","Dept. of Chem. & Mater. Eng., Univ. of Alberta, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Dept. of Chem. & Mater. Eng., Univ. of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035678026","display_name":"Zhonggai Zhao","orcid":"https://orcid.org/0000-0002-4508-4979"},"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":"Zhonggai Zhao","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi, China","Key Lab. of Adv. Process Control for Light Ind., Jiangnan Univ., Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"Key Lab. of Adv. Process Control for Light Ind., Jiangnan Univ., Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100394563","display_name":"Fei Liu","orcid":"https://orcid.org/0000-0001-7160-2605"},"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":"Fei Liu","raw_affiliation_strings":["Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi, China","Key Lab. of Adv. Process Control for Light Ind., Jiangnan Univ., Wuxi, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Process Control for Light Industry, Jiangnan University, Wuxi, China","institution_ids":["https://openalex.org/I111599522"]},{"raw_affiliation_string":"Key Lab. of Adv. Process Control for Light Ind., Jiangnan Univ., Wuxi, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432851","display_name":"Biao Huang","orcid":"https://orcid.org/0000-0001-9082-2216"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Biao Huang","raw_affiliation_strings":["Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada","Dept. of Chem. & Mater. Eng., Univ. of Alberta, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]},{"raw_affiliation_string":"Dept. of Chem. & Mater. Eng., Univ. of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9883,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.83024252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"568","last_page":"573"},"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":0.9918000102043152,"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":0.9757999777793884,"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/particle-filter","display_name":"Particle filter","score":0.9049549102783203},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6823362708091736},{"id":"https://openalex.org/keywords/ellipsoid","display_name":"Ellipsoid","score":0.6554891467094421},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.649965763092041},{"id":"https://openalex.org/keywords/auxiliary-particle-filter","display_name":"Auxiliary particle filter","score":0.6320617198944092},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.6274254322052002},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5323052406311035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5050483345985413},{"id":"https://openalex.org/keywords/filtering-problem","display_name":"Filtering problem","score":0.49846911430358887},{"id":"https://openalex.org/keywords/monte-carlo-localization","display_name":"Monte Carlo localization","score":0.4757099747657776},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4677821397781372},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.467191219329834},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4599880278110504},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4459270238876343},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4304940700531006},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.41422808170318604},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.41273587942123413},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36785754561424255},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.27304768562316895}],"concepts":[{"id":"https://openalex.org/C52421305","wikidata":"https://www.wikidata.org/wiki/Q1151499","display_name":"Particle filter","level":3,"score":0.9049549102783203},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6823362708091736},{"id":"https://openalex.org/C57489055","wikidata":"https://www.wikidata.org/wiki/Q190046","display_name":"Ellipsoid","level":2,"score":0.6554891467094421},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.649965763092041},{"id":"https://openalex.org/C52483021","wikidata":"https://www.wikidata.org/wiki/Q4827310","display_name":"Auxiliary particle filter","level":5,"score":0.6320617198944092},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.6274254322052002},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5323052406311035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5050483345985413},{"id":"https://openalex.org/C41614226","wikidata":"https://www.wikidata.org/wiki/Q5449244","display_name":"Filtering problem","level":4,"score":0.49846911430358887},{"id":"https://openalex.org/C106480740","wikidata":"https://www.wikidata.org/wiki/Q6904694","display_name":"Monte Carlo localization","level":4,"score":0.4757099747657776},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4677821397781372},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.467191219329834},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4599880278110504},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4459270238876343},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4304940700531006},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.41422808170318604},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.41273587942123413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36785754561424255},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.27304768562316895},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icca.2013.6564932","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icca.2013.6564932","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 10th IEEE International Conference on Control and Automation (ICCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1561837455","https://openalex.org/W1972967324","https://openalex.org/W2028394421","https://openalex.org/W2063573316","https://openalex.org/W2063862063","https://openalex.org/W2066268967","https://openalex.org/W2098613108","https://openalex.org/W2103988321","https://openalex.org/W2107672511","https://openalex.org/W2124156864","https://openalex.org/W2128909582","https://openalex.org/W2170398694","https://openalex.org/W4285719527","https://openalex.org/W6633732797"],"related_works":["https://openalex.org/W2593675237","https://openalex.org/W2138031790","https://openalex.org/W2162253570","https://openalex.org/W2349806108","https://openalex.org/W2373978657","https://openalex.org/W1991846142","https://openalex.org/W1993218785","https://openalex.org/W2369843118","https://openalex.org/W1506668244","https://openalex.org/W2382411933"],"abstract_inverted_index":{"Particle":[0],"filters":[1,28],"have":[2],"become":[3],"an":[4,70],"increasingly":[5],"useful":[6],"tool":[7],"for":[8,14,82],"recursive":[9],"Bayesian":[10],"state":[11,89],"estimation,":[12],"especially":[13],"nonlinear":[15],"and":[16,61,93,119],"non-Gaussian":[17],"problems.":[18],"Despite":[19],"the":[20,44,56,87,91,95,108,115,124],"large":[21],"number":[22],"of":[23,58,90],"papers":[24],"published":[25],"on":[26],"particle":[27,65,83,96,117,127],"in":[29,55],"recent":[30],"years,":[31],"one":[32],"issue":[33],"that":[34,52,85,107],"has":[35,53],"not":[36],"been":[37],"addressed":[38],"to":[39,77],"any":[40],"significant":[41],"degree":[42],"is":[43,75,111],"robustness.":[45],"This":[46],"paper":[47],"presents":[48],"a":[49,79],"deterministic":[50],"approach":[51,74],"emerged":[54],"area":[57],"robust":[59,98,113],"filtering,":[60],"incorporates":[62],"it":[63],"into":[64],"filtering":[66],"framework.":[67],"In":[68],"particular,":[69],"ellipsoidal":[71],"set":[72,81],"membership":[73],"used":[76],"define":[78],"feasible":[80],"sampling":[84],"contains":[86],"true":[88],"system,":[92],"makes":[94],"filter":[97,118],"against":[99],"unknown":[100],"but":[101],"bounded":[102],"uncertainties.":[103],"Simulation":[104],"results":[105],"show":[106],"proposed":[109],"algorithm":[110],"more":[112],"than":[114],"regular":[116],"its":[120],"variants":[121],"such":[122],"as":[123],"extended":[125],"Kalman":[126],"filter.":[128]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}