{"id":"https://openalex.org/W2106531400","doi":"https://doi.org/10.1109/cdc.2004.1429459","title":"Finite horizon robust state estimation for uncertain finite-alphabet hidden Markov models with conditional relative entropy constraints","display_name":"Finite horizon robust state estimation for uncertain finite-alphabet hidden Markov models with conditional relative entropy constraints","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W2106531400","doi":"https://doi.org/10.1109/cdc.2004.1429459","mag":"2106531400"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2004.1429459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2004.1429459","pdf_url":null,"source":{"id":"https://openalex.org/S4363608267","display_name":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","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/A5101945817","display_name":"Li Xie","orcid":"https://orcid.org/0000-0002-2008-6230"},"institutions":[{"id":"https://openalex.org/I40053085","display_name":"Australian Defence Force Academy","ror":"https://ror.org/02j5s7g39","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I40053085","https://openalex.org/I4394709116"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Li Xie","raw_affiliation_strings":["University of New South Wales, Australian Defence Force Academy, Canberra, ACT, Australia","Sch. of Inf. Technol. & Electr. Eng., Univ. of New South Wales, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Australian Defence Force Academy, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I40053085","https://openalex.org/I31746571"]},{"raw_affiliation_string":"Sch. of Inf. Technol. & Electr. Eng., Univ. of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109088249","display_name":"Valery Ugrinovskii","orcid":null},"institutions":[{"id":"https://openalex.org/I40053085","display_name":"Australian Defence Force Academy","ror":"https://ror.org/02j5s7g39","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I40053085","https://openalex.org/I4394709116"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"V.A. Ugrinovskii","raw_affiliation_strings":["University of New South Wales, Australian Defence Force Academy, Canberra, ACT, Australia","Sch. of Inf. Technol. & Electr. Eng., Univ. of New South Wales, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Australian Defence Force Academy, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I40053085","https://openalex.org/I31746571"]},{"raw_affiliation_string":"Sch. of Inf. Technol. & Electr. Eng., Univ. of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011597574","display_name":"Ian R. Petersen","orcid":"https://orcid.org/0000-0003-4856-9450"},"institutions":[{"id":"https://openalex.org/I40053085","display_name":"Australian Defence Force Academy","ror":"https://ror.org/02j5s7g39","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571","https://openalex.org/I40053085","https://openalex.org/I4394709116"]},{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"I.R. Petersen","raw_affiliation_strings":["University of New South Wales, Australian Defence Force Academy, Canberra, ACT, Australia","Sch. of Inf. Technol. & Electr. Eng., Univ. of New South Wales, Canberra, ACT, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Australian Defence Force Academy, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I40053085","https://openalex.org/I31746571"]},{"raw_affiliation_string":"Sch. of Inf. Technol. & Electr. Eng., Univ. of New South Wales, Canberra, ACT, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101945817"],"corresponding_institution_ids":["https://openalex.org/I31746571","https://openalex.org/I40053085"],"apc_list":null,"apc_paid":null,"fwci":0.5494,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64338077,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"13","issue":null,"first_page":"4497","last_page":"4502 Vol.4"},"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":0.9811000227928162,"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":0.9811000227928162,"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":0.9689000248908997,"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/T11192","display_name":"Underwater Vehicles and Communication Systems","score":0.9541000127792358,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/hidden-markov-model","display_name":"Hidden Markov model","score":0.6264047622680664},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6241024732589722},{"id":"https://openalex.org/keywords/conditional-entropy","display_name":"Conditional entropy","score":0.5799676179885864},{"id":"https://openalex.org/keywords/lagrange-multiplier","display_name":"Lagrange multiplier","score":0.5484748482704163},{"id":"https://openalex.org/keywords/hidden-semi-markov-model","display_name":"Hidden semi-Markov model","score":0.5349088907241821},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5114575624465942},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.49809980392456055},{"id":"https://openalex.org/keywords/kullback\u2013leibler-divergence","display_name":"Kullback\u2013Leibler divergence","score":0.4682373106479645},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4453175365924835},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.3918776512145996},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.3759787678718567},{"id":"https://openalex.org/keywords/variable-order-markov-model","display_name":"Variable-order Markov model","score":0.3253825902938843},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2845439910888672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17704394459724426},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0923907458782196}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6264047622680664},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6241024732589722},{"id":"https://openalex.org/C101721835","wikidata":"https://www.wikidata.org/wiki/Q813908","display_name":"Conditional entropy","level":3,"score":0.5799676179885864},{"id":"https://openalex.org/C73684929","wikidata":"https://www.wikidata.org/wiki/Q598870","display_name":"Lagrange multiplier","level":2,"score":0.5484748482704163},{"id":"https://openalex.org/C64939953","wikidata":"https://www.wikidata.org/wiki/Q3859882","display_name":"Hidden semi-Markov model","level":5,"score":0.5349088907241821},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5114575624465942},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.49809980392456055},{"id":"https://openalex.org/C171752962","wikidata":"https://www.wikidata.org/wiki/Q255166","display_name":"Kullback\u2013Leibler divergence","level":2,"score":0.4682373106479645},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4453175365924835},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.3918776512145996},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.3759787678718567},{"id":"https://openalex.org/C54907487","wikidata":"https://www.wikidata.org/wiki/Q7915688","display_name":"Variable-order Markov model","level":4,"score":0.3253825902938843},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2845439910888672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17704394459724426},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0923907458782196},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2004.1429459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2004.1429459","pdf_url":null,"source":{"id":"https://openalex.org/S4363608267","display_name":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320965","display_name":"University of New South Wales","ror":"https://ror.org/03r8z3t63"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1488001421","https://openalex.org/W1531679840","https://openalex.org/W1534416612","https://openalex.org/W1580334350","https://openalex.org/W1964660396","https://openalex.org/W1966593585","https://openalex.org/W1975736346","https://openalex.org/W1999475875","https://openalex.org/W2045709406","https://openalex.org/W2087284982","https://openalex.org/W2110506923","https://openalex.org/W2113053946","https://openalex.org/W2113151258","https://openalex.org/W2121743548","https://openalex.org/W2125838338","https://openalex.org/W2129332990","https://openalex.org/W2139261773","https://openalex.org/W2148058527","https://openalex.org/W2154867710","https://openalex.org/W2157525855","https://openalex.org/W2167264790","https://openalex.org/W2178973532","https://openalex.org/W2798461040","https://openalex.org/W4237738119"],"related_works":["https://openalex.org/W2382132287","https://openalex.org/W2118728396","https://openalex.org/W3113307220","https://openalex.org/W2765937309","https://openalex.org/W4245952386","https://openalex.org/W1917205115","https://openalex.org/W4385889111","https://openalex.org/W4285147562","https://openalex.org/W3164302780","https://openalex.org/W2353444478"],"abstract_inverted_index":{"In":[0],"this":[1,54,118],"paper,":[2],"we":[3],"consider":[4],"a":[5,37,67,72,77,96,105],"robust":[6,60],"state":[7,61,112],"estimation":[8,62],"problem":[9,63,87,94,97,120],"for":[10,80],"uncertain":[11,25,57],"discrete-time,":[12],"homogeneous,":[13],"first-order,":[14],"finite-state":[15],"finite-alphabet":[16],"hidden":[17],"Markov":[18],"models":[19],"(HMMs).":[20],"A":[21],"class":[22,55],"of":[23,56],"time-varying":[24],"HMMs":[26],"is":[27,33,64,88],"considered":[28],"in":[29],"which":[30],"the":[31,50,59,85],"uncertainty":[32],"sequentially":[34],"described":[35],"by":[36],"regular":[38,45,81],"conditional":[39,46,82],"relative":[40,83],"entropy":[41],"constraint":[42],"on":[43],"perturbed":[44],"probability":[47],"measures":[48],"given":[49],"observation":[51],"sequence.":[52],"For":[53],"HMMs,":[58],"formulated":[65],"as":[66],"constrained":[68],"optimization":[69,93],"problem.":[70],"Using":[71],"Lagrange":[73],"multiplier":[74],"technique":[75,108],"and":[76,95,109],"duality":[78],"relationship":[79],"entropy,":[84],"above":[86],"converted":[89],"into":[90],"an":[91,110],"unconstrained":[92],"related":[98,121],"to":[99,116,122],"partial":[100],"information":[101,111],"risk-sensitive":[102,123],"filtering.":[103,124],"Furthermore,":[104],"measure":[106],"transformation":[107],"method":[113],"are":[114],"employed":[115],"solve":[117],"equivalent":[119]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
