{"id":"https://openalex.org/W1997965309","doi":"https://doi.org/10.1109/cdc.2014.7039914","title":"Generalized innovation and inference algorithms for hidden mode switched linear stochastic systems with unknown inputs","display_name":"Generalized innovation and inference algorithms for hidden mode switched linear stochastic systems with unknown inputs","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W1997965309","doi":"https://doi.org/10.1109/cdc.2014.7039914","mag":"1997965309"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2014.7039914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2014.7039914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"53rd IEEE Conference on Decision and Control","raw_type":"proceedings-article"},"type":"conference-paper","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/A5011843629","display_name":"Sze Zheng Yong","orcid":"https://orcid.org/0000-0002-2104-3128"},"institutions":[{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sze Zheng Yong","raw_affiliation_strings":["Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA","Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"]},{"raw_affiliation_string":"Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, USA#TAB#","institution_ids":["https://openalex.org/I63966007"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101766328","display_name":"Minghui Zhu","orcid":"https://orcid.org/0000-0003-3879-7820"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Minghui Zhu","raw_affiliation_strings":["Department of Electrical Engineering, Pennsylvania State University, PA","[Department of Electrical Engineering, Pennsylvania State University, 201 Old Main, University Park, 16802, USA]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pennsylvania State University, PA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"[Department of Electrical Engineering, Pennsylvania State University, 201 Old Main, University Park, 16802, USA]","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029069358","display_name":"Emilio Frazzoli","orcid":null},"institutions":[{"id":"https://openalex.org/I4210143601","display_name":"Decision Systems (United States)","ror":"https://ror.org/0434dpa13","country_code":"US","type":"company","lineage":["https://openalex.org/I4210143601"]},{"id":"https://openalex.org/I63966007","display_name":"Massachusetts Institute of Technology","ror":"https://ror.org/042nb2s44","country_code":"US","type":"education","lineage":["https://openalex.org/I63966007"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Emilio Frazzoli","raw_affiliation_strings":["Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA","Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, USA#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA","institution_ids":["https://openalex.org/I4210143601","https://openalex.org/I63966007"]},{"raw_affiliation_string":"Laboratory for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, USA#TAB#","institution_ids":["https://openalex.org/I63966007"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4474,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.83798771,"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":"3388","last_page":"3394"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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":0.9968000054359436,"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/computer-science","display_name":"Computer science","score":0.6093555092811584},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6014904379844666},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5671314001083374},{"id":"https://openalex.org/keywords/mode","display_name":"Mode (computer interface)","score":0.5299350619316101},{"id":"https://openalex.org/keywords/additive-white-gaussian-noise","display_name":"Additive white Gaussian noise","score":0.4966650605201721},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.4860890209674835},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4794422686100006},{"id":"https://openalex.org/keywords/intersection","display_name":"Intersection (aeronautics)","score":0.4740978181362152},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.47320955991744995},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4714173972606659},{"id":"https://openalex.org/keywords/white-noise","display_name":"White noise","score":0.4681186079978943},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.44962531328201294},{"id":"https://openalex.org/keywords/likelihood-function","display_name":"Likelihood function","score":0.4163312315940857},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.35754692554473877},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.352106511592865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20470651984214783},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11952689290046692}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6093555092811584},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6014904379844666},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5671314001083374},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.5299350619316101},{"id":"https://openalex.org/C169334058","wikidata":"https://www.wikidata.org/wiki/Q353292","display_name":"Additive white Gaussian noise","level":3,"score":0.4966650605201721},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.4860890209674835},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4794422686100006},{"id":"https://openalex.org/C64543145","wikidata":"https://www.wikidata.org/wiki/Q162942","display_name":"Intersection (aeronautics)","level":2,"score":0.4740978181362152},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.47320955991744995},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4714173972606659},{"id":"https://openalex.org/C112633086","wikidata":"https://www.wikidata.org/wiki/Q381287","display_name":"White noise","level":2,"score":0.4681186079978943},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.44962531328201294},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.4163312315940857},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.35754692554473877},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.352106511592865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20470651984214783},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11952689290046692},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/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},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2014.7039914","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2014.7039914","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"53rd IEEE Conference on Decision and Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6700000166893005,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W316798226","https://openalex.org/W1531532259","https://openalex.org/W2013811486","https://openalex.org/W2018295752","https://openalex.org/W2057798714","https://openalex.org/W2063695849","https://openalex.org/W2064815138","https://openalex.org/W2094564909","https://openalex.org/W2097009900","https://openalex.org/W2105934661","https://openalex.org/W2117397690","https://openalex.org/W2125079402","https://openalex.org/W2128174965","https://openalex.org/W2145689384","https://openalex.org/W2169277710","https://openalex.org/W2288955300","https://openalex.org/W2403035479","https://openalex.org/W2506668974","https://openalex.org/W2796930440","https://openalex.org/W4240790602","https://openalex.org/W4249925951","https://openalex.org/W6678343365","https://openalex.org/W6678968977","https://openalex.org/W6696365498"],"related_works":["https://openalex.org/W2101505280","https://openalex.org/W2791735244","https://openalex.org/W1974392290","https://openalex.org/W3103566292","https://openalex.org/W1607924090","https://openalex.org/W2370409284","https://openalex.org/W2120595071","https://openalex.org/W3167036484","https://openalex.org/W1598553450","https://openalex.org/W2945972939"],"abstract_inverted_index":{"In":[0],"this":[1,57],"paper,":[2],"we":[3,26,55,79],"propose":[4],"inference":[5],"algorithms":[6],"for":[7,31,37,91,102],"simultaneously":[8],"estimating":[9],"the":[10,28,32,47,61,66,71,75,81,88,93],"mode,":[11],"input":[12,39],"and":[13,40,44,105,111],"state":[14,41],"of":[15,60,74,96,117],"hidden":[16,94],"mode":[17,95],"switched":[18,97],"linear":[19,98],"stochastic":[20,99],"systems":[21],"with":[22,122],"unknown":[23],"inputs.":[24],"First,":[25],"define":[27],"generalized":[29,62],"innovation":[30],"recently":[33],"proposed":[34],"optimal":[35],"filter":[36],"simultaneous":[38],"estimation":[42,67,108],"[1]":[43],"show":[45],"that":[46],"sequence":[48],"is":[49],"a":[50,114],"Gaussian":[51],"white":[52],"noise.":[53],"Then,":[54],"utilize":[56],"whiteness":[58],"property":[59],"innovation,":[63],"which":[64],"reflects":[65],"quality":[68],"to":[69],"form":[70],"likelihood":[72,89],"function":[73,90],"system":[76],"model.":[77],"Consequently,":[78],"employ":[80],"multiple":[82],"model":[83],"(MM)":[84],"approach":[85],"based":[86],"on":[87],"inferring":[92],"systems.":[100],"Algorithms":[101],"both":[103],"static":[104],"dynamic":[106],"MM":[107],"are":[109],"presented":[110],"compared":[112],"using":[113],"simulation":[115],"example":[116],"vehicles":[118],"at":[119],"an":[120],"intersection":[121],"switching":[123],"driver":[124],"intentions.":[125]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
