{"id":"https://openalex.org/W1971618360","doi":"https://doi.org/10.1080/00207721.2015.1029566","title":"Robust interacting multiple model algorithms based on multi-sensor fusion criteria","display_name":"Robust interacting multiple model algorithms based on multi-sensor fusion criteria","publication_year":2015,"publication_date":"2015-04-09","ids":{"openalex":"https://openalex.org/W1971618360","doi":"https://doi.org/10.1080/00207721.2015.1029566","mag":"1971618360"},"language":"en","primary_location":{"id":"doi:10.1080/00207721.2015.1029566","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207721.2015.1029566","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-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/A5078596745","display_name":"Weidong Zhou","orcid":"https://orcid.org/0000-0002-1234-1035"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weidong Zhou","raw_affiliation_strings":["College of Automation, Harbin Engineering University (HEU), Harbin, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University (HEU), Harbin, People's Republic of China","institution_ids":["https://openalex.org/I151727225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100333911","display_name":"Mengmeng Liu","orcid":"https://orcid.org/0000-0002-2379-2536"},"institutions":[{"id":"https://openalex.org/I151727225","display_name":"Harbin Engineering University","ror":"https://ror.org/03x80pn82","country_code":"CN","type":"education","lineage":["https://openalex.org/I151727225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengmeng Liu","raw_affiliation_strings":["College of Automation, Harbin Engineering University (HEU), Harbin, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Automation, Harbin Engineering University (HEU), Harbin, People's Republic of China","institution_ids":["https://openalex.org/I151727225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5078596745"],"corresponding_institution_ids":["https://openalex.org/I151727225"],"apc_list":null,"apc_paid":null,"fwci":0.4365,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.76182297,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"47","issue":"1","first_page":"92","last_page":"106"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.994700014591217,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9779000282287598,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/kalman-filter","display_name":"Kalman filter","score":0.6775654554367065},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6417929530143738},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6136056184768677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5364874601364136},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.4845963716506958},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.46707800030708313},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.457619309425354},{"id":"https://openalex.org/keywords/jump","display_name":"Jump","score":0.4383637011051178},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3206883370876312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23335489630699158}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6775654554367065},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6417929530143738},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6136056184768677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5364874601364136},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.4845963716506958},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.46707800030708313},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.457619309425354},{"id":"https://openalex.org/C2780695682","wikidata":"https://www.wikidata.org/wiki/Q4005959","display_name":"Jump","level":2,"score":0.4383637011051178},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3206883370876312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23335489630699158},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207721.2015.1029566","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207721.2015.1029566","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Systems Science","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tsysxx:v:47:y:2016:i:1:p:92-106","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207721.2015.1029566","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W26366907","https://openalex.org/W111418999","https://openalex.org/W1528267019","https://openalex.org/W1531532259","https://openalex.org/W1628023867","https://openalex.org/W1975194246","https://openalex.org/W1976651402","https://openalex.org/W1997694565","https://openalex.org/W2000161594","https://openalex.org/W2006855051","https://openalex.org/W2007880781","https://openalex.org/W2010635244","https://openalex.org/W2027004190","https://openalex.org/W2051545383","https://openalex.org/W2060106288","https://openalex.org/W2062509236","https://openalex.org/W2064183516","https://openalex.org/W2076618762","https://openalex.org/W2083081493","https://openalex.org/W2089880844","https://openalex.org/W2097009900","https://openalex.org/W2101552411","https://openalex.org/W2103632679","https://openalex.org/W2110170799","https://openalex.org/W2112857436","https://openalex.org/W2113677822","https://openalex.org/W2118164523","https://openalex.org/W2119217070","https://openalex.org/W2134738475","https://openalex.org/W2141529783","https://openalex.org/W2293807537","https://openalex.org/W2503900448","https://openalex.org/W2790374560","https://openalex.org/W4249238381"],"related_works":["https://openalex.org/W2103761320","https://openalex.org/W2358167375","https://openalex.org/W116564642","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W2078821596","https://openalex.org/W1983380679","https://openalex.org/W1981649169","https://openalex.org/W3214791684","https://openalex.org/W2357354286"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,74],"concerned":[3],"with":[4],"the":[5,30,33,42,51,58,69,78,81,93],"state":[6],"estimation":[7,36,105],"problem":[8],"for":[9],"a":[10,108],"class":[11],"of":[12,38,62,71,80],"Markov":[13],"jump":[14],"linear":[15],"discrete-time":[16],"stochastic":[17],"systems.":[18],"Three":[19],"novel":[20,52],"interacting":[21],"multiple":[22],"model":[23],"(IMM)":[24],"algorithms":[25,53,95],"are":[26,54,96],"proposed":[27,94],"based":[28,56],"on":[29,57],"H\u221e":[31,66],"technique,":[32],"correlation":[34],"among":[35],"errors":[37],"mode-conditioned":[39],"filters":[40],"and":[41,86,98],"multi-sensor":[43],"optimal":[44],"information":[45],"fusion":[46],"criteria.":[47],"Mode":[48],"probabilities":[49],"in":[50,103],"derived":[55],"error":[59],"cross-covariances":[60],"instead":[61],"likelihood":[63],"functions.":[64],"The":[65],"technique":[67],"taking":[68],"place":[70],"Kalman":[72],"filtering":[73],"applied":[75],"to":[76],"enhance":[77],"robustness":[79],"new":[82],"approaches.":[83],"Theoretical":[84],"analysis":[85],"Monte":[87],"Carlo":[88],"simulation":[89],"results":[90],"indicate":[91],"that":[92],"effective":[97],"have":[99],"an":[100],"obvious":[101],"advantage":[102],"velocity":[104],"when":[106],"tracking":[107],"maneuvering":[109],"target.":[110]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2019,"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"}