{"id":"https://openalex.org/W2214484630","doi":"https://doi.org/10.1109/aucc.2014.7358703","title":"Interval constrained state estimation of nonlinear dynamical systems using unscented Gaussian sum filter","display_name":"Interval constrained state estimation of nonlinear dynamical systems using unscented Gaussian sum filter","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2214484630","doi":"https://doi.org/10.1109/aucc.2014.7358703","mag":"2214484630"},"language":"en","primary_location":{"id":"doi:10.1109/aucc.2014.7358703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aucc.2014.7358703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 4th Australian Control Conference (AUCC)","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/A5060170476","display_name":"Krishna Kumar Kottakki","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Krishna Kumar Kottakki","raw_affiliation_strings":["Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006485246","display_name":"Mani Bhushan","orcid":"https://orcid.org/0000-0003-3326-3352"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Mani Bhushan","raw_affiliation_strings":["Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073351086","display_name":"Sharad Bhartiya","orcid":"https://orcid.org/0000-0002-2856-695X"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sharad Bhartiya","raw_affiliation_strings":["Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, India"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, India","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060170476"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":1.227,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85575028,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"297","last_page":"302"},"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":0.9986000061035156,"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":0.9986000061035156,"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":0.9934999942779541,"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/T10320","display_name":"Neural Networks and Applications","score":0.9664000272750854,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/unscented-transform","display_name":"Unscented transform","score":0.7773236036300659},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6859687566757202},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6243364810943604},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.542536199092865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5297338366508484},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.519437313079834},{"id":"https://openalex.org/keywords/linearization","display_name":"Linearization","score":0.4904496371746063},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.48114001750946045},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.47524571418762207},{"id":"https://openalex.org/keywords/truncation","display_name":"Truncation (statistics)","score":0.4740709364414215},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.434373676776886},{"id":"https://openalex.org/keywords/probability-density-function","display_name":"Probability density function","score":0.41824042797088623},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4112854301929474},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.39601001143455505},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36921560764312744},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3620310425758362},{"id":"https://openalex.org/keywords/ensemble-kalman-filter","display_name":"Ensemble Kalman filter","score":0.31839263439178467},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1938474476337433},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09710648655891418},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.08885887265205383}],"concepts":[{"id":"https://openalex.org/C139399703","wikidata":"https://www.wikidata.org/wiki/Q7897426","display_name":"Unscented transform","level":5,"score":0.7773236036300659},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6859687566757202},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6243364810943604},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.542536199092865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5297338366508484},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.519437313079834},{"id":"https://openalex.org/C11210021","wikidata":"https://www.wikidata.org/wiki/Q1520713","display_name":"Linearization","level":3,"score":0.4904496371746063},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.48114001750946045},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.47524571418762207},{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.4740709364414215},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.434373676776886},{"id":"https://openalex.org/C197055811","wikidata":"https://www.wikidata.org/wiki/Q207522","display_name":"Probability density function","level":2,"score":0.41824042797088623},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4112854301929474},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.39601001143455505},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36921560764312744},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3620310425758362},{"id":"https://openalex.org/C79334102","wikidata":"https://www.wikidata.org/wiki/Q3072268","display_name":"Ensemble Kalman filter","level":4,"score":0.31839263439178467},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1938474476337433},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09710648655891418},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08885887265205383},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aucc.2014.7358703","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aucc.2014.7358703","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 4th Australian Control Conference (AUCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1559536185","https://openalex.org/W1966757195","https://openalex.org/W1970319972","https://openalex.org/W1986143653","https://openalex.org/W1992883896","https://openalex.org/W1999345491","https://openalex.org/W2007052123","https://openalex.org/W2009104157","https://openalex.org/W2013002270","https://openalex.org/W2020508179","https://openalex.org/W2057362528","https://openalex.org/W2061200912","https://openalex.org/W2070898270","https://openalex.org/W2074337911","https://openalex.org/W2075547179","https://openalex.org/W2086998418","https://openalex.org/W2091883880","https://openalex.org/W2096236399","https://openalex.org/W2123487311","https://openalex.org/W2143791778","https://openalex.org/W2160337655","https://openalex.org/W2334964355","https://openalex.org/W2417426688","https://openalex.org/W3149544094"],"related_works":["https://openalex.org/W2390558238","https://openalex.org/W4206622494","https://openalex.org/W2099544223","https://openalex.org/W2368128009","https://openalex.org/W2011604740","https://openalex.org/W3086876622","https://openalex.org/W2350305363","https://openalex.org/W2917624112","https://openalex.org/W4206024512","https://openalex.org/W2188632562"],"abstract_inverted_index":{"Unscented":[0,132,212],"Kalman":[1],"Filter":[2,135],"(UKF)":[3],"[1]":[4],"based":[5,37],"approaches":[6],"are":[7,50,91],"popular":[8],"due":[9],"to":[10,60,79,187,190,208],"the":[11,43,61,84,89,105,113,142,151,168,177,198,201,224,229,240],"absence":[12],"of":[13,22,29,54,64,83,115,119,147,195],"analytical":[14],"linearization":[15],"steps":[16,49],"as":[17,19,108,131,154,176],"well":[18],"their":[20],"use":[21,114,209],"a":[23,109,116,127,145,172],"deterministically":[24],"chosen":[25],"but":[26],"limited":[27],"set":[28],"samples":[30],"(labeled":[31],"sigma":[32,152],"points).":[33],"However,":[34,112],"UKF":[35,65,157,169,178],"is":[36,56],"on":[38,72,197,228],"an":[39],"implicit":[40],"assumption":[41,53],"that":[42,103,140,165,239],"conditional":[44,106],"state":[45,86,231],"densities":[46,90,107],"at":[47],"various":[48,62,98],"Gaussian.":[51],"This":[52,74],"Gaussianity":[55],"then":[57],"carried":[58],"over":[59],"extensions":[63],"available":[66],"in":[67,75,156,200],"literature":[68],"for":[69],"incorporating":[70],"constraints":[71,196],"states.":[73],"turn":[76],"may":[77],"lead":[78],"potentially":[80],"inferior":[81],"performance":[82],"constrained":[85,191,242,245],"estimators":[87],"if":[88],"significantly":[92],"non-Gaussian.":[93],"To":[94],"overcome":[95],"this":[96,183],"issue,":[97],"attempts":[99],"have":[100],"been":[101,138],"made":[102],"represent":[104],"Gaussian":[110,133],"Sum.":[111],"large":[117],"number":[118],"Gaussians":[120,148],"renders":[121],"these":[122],"methods":[123],"computationally":[124],"demanding.":[125],"Recently,":[126],"novel":[128],"approach":[129],"termed":[130],"Sum":[134,146],"(UGSF)":[136],"has":[137],"proposed":[139,241],"approximates":[141],"prior":[143],"with":[144,223],"using":[149,162,171],"only":[150],"points":[153],"generated":[155],"[2].":[158],"It":[159],"was":[160],"shown":[161],"numerous":[163],"solutions":[164],"UGSF":[166,189,192,225,243],"outperforms":[167,244],"while":[170],"similar":[173],"computational":[174],"effort":[175],"[2],":[179],"[3],":[180],"[4].":[181],"In":[182,204],"work,":[184],"we":[185,206],"propose":[186,207],"extend":[188],"by":[193],"incorporation":[194],"states":[199],"estimation":[202],"process.":[203],"particular,":[205],"Interval":[210],"Constrained":[211],"Transformation":[213],"(ICUT)":[214],"[5]":[215],"and":[216],"probability":[217],"density":[218],"function":[219],"truncation":[220],"algorithms":[221],"[6]":[222],"framework.":[226],"Implementation":[227],"three":[230],"isothermal":[232],"batch":[233],"reactor":[234],"case":[235],"study":[236],"[7]":[237],"shows":[238],"UKF.":[246]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}