{"id":"https://openalex.org/W2986633027","doi":"https://doi.org/10.1109/access.2019.2952891","title":"Robust Identification Method for LPV ARX Systems and its Application to a Mechanical Unit","display_name":"Robust Identification Method for LPV ARX Systems and its Application to a Mechanical Unit","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2986633027","doi":"https://doi.org/10.1109/access.2019.2952891","mag":"2986633027"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2952891","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2952891","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2019.2952891","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100352205","display_name":"Xin Liu","orcid":"https://orcid.org/0000-0002-2504-8962"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Liu","raw_affiliation_strings":["College of IoT Engineering, Hohai University, Changzhou, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"College of IoT Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005972846","display_name":"Tingting Zhang","orcid":"https://orcid.org/0000-0001-5734-6246"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tingting Zhang","raw_affiliation_strings":["College of IoT Engineering, Hohai University, Changzhou, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"College of IoT Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100359300","display_name":"Xiaofeng Liu","orcid":"https://orcid.org/0000-0003-1310-6739"},"institutions":[{"id":"https://openalex.org/I163340411","display_name":"Hohai University","ror":"https://ror.org/01wd4xt90","country_code":"CN","type":"education","lineage":["https://openalex.org/I163340411"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Liu","raw_affiliation_strings":["College of IoT Engineering, Hohai University, Changzhou, China","ORCiD"],"affiliations":[{"raw_affiliation_string":"College of IoT Engineering, Hohai University, Changzhou, China","institution_ids":["https://openalex.org/I163340411"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100352205"],"corresponding_institution_ids":["https://openalex.org/I163340411"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.4989,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66503934,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"7","issue":null,"first_page":"164418","last_page":"164428"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11236","display_name":"Control Systems and Identification","score":0.9994000196456909,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9987999796867371,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/outlier","display_name":"Outlier","score":0.8251981735229492},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6607615947723389},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6296269297599792},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5849939584732056},{"id":"https://openalex.org/keywords/maximization","display_name":"Maximization","score":0.5797740817070007},{"id":"https://openalex.org/keywords/system-identification","display_name":"System identification","score":0.5739440321922302},{"id":"https://openalex.org/keywords/expectation\u2013maximization-algorithm","display_name":"Expectation\u2013maximization algorithm","score":0.5669951438903809},{"id":"https://openalex.org/keywords/parameter-identification-problem","display_name":"Parameter identification problem","score":0.55808025598526},{"id":"https://openalex.org/keywords/estimation-theory","display_name":"Estimation theory","score":0.5494734644889832},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5461359024047852},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5418589115142822},{"id":"https://openalex.org/keywords/laplace-distribution","display_name":"Laplace distribution","score":0.528795063495636},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.46323367953300476},{"id":"https://openalex.org/keywords/laplace-transform","display_name":"Laplace transform","score":0.44927701354026794},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3835889995098114},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3708377480506897},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2920983135700226},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2285601794719696},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.20126566290855408},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.16408252716064453},{"id":"https://openalex.org/keywords/model-parameter","display_name":"Model parameter","score":0.10203176736831665},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08997714519500732}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.8251981735229492},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6607615947723389},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6296269297599792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5849939584732056},{"id":"https://openalex.org/C2776330181","wikidata":"https://www.wikidata.org/wiki/Q18358244","display_name":"Maximization","level":2,"score":0.5797740817070007},{"id":"https://openalex.org/C119247159","wikidata":"https://www.wikidata.org/wiki/Q1366192","display_name":"System identification","level":3,"score":0.5739440321922302},{"id":"https://openalex.org/C182081679","wikidata":"https://www.wikidata.org/wiki/Q1275153","display_name":"Expectation\u2013maximization algorithm","level":3,"score":0.5669951438903809},{"id":"https://openalex.org/C79610928","wikidata":"https://www.wikidata.org/wiki/Q1656743","display_name":"Parameter identification problem","level":3,"score":0.55808025598526},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.5494734644889832},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5461359024047852},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5418589115142822},{"id":"https://openalex.org/C183057437","wikidata":"https://www.wikidata.org/wiki/Q671617","display_name":"Laplace distribution","level":3,"score":0.528795063495636},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.46323367953300476},{"id":"https://openalex.org/C97937538","wikidata":"https://www.wikidata.org/wiki/Q199691","display_name":"Laplace transform","level":2,"score":0.44927701354026794},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3835889995098114},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3708377480506897},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2920983135700226},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2285601794719696},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.20126566290855408},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.16408252716064453},{"id":"https://openalex.org/C2983447341","wikidata":"https://www.wikidata.org/wiki/Q1413083","display_name":"Model parameter","level":2,"score":0.10203176736831665},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08997714519500732},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"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":2,"locations":[{"id":"doi:10.1109/access.2019.2952891","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2952891","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:deff63d937d64e0e8a565ae24651bd19","is_oa":true,"landing_page_url":"https://doaj.org/article/deff63d937d64e0e8a565ae24651bd19","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 164418-164428 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2952891","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2952891","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1327012065","display_name":null,"funder_award_id":"61503097","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1925655054","display_name":null,"funder_award_id":"2015M80264","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1713870176","https://openalex.org/W1981113240","https://openalex.org/W2003002102","https://openalex.org/W2003967703","https://openalex.org/W2020809081","https://openalex.org/W2032821077","https://openalex.org/W2034442390","https://openalex.org/W2036212684","https://openalex.org/W2049691667","https://openalex.org/W2053742104","https://openalex.org/W2058662333","https://openalex.org/W2063749379","https://openalex.org/W2097133364","https://openalex.org/W2125945227","https://openalex.org/W2145768101","https://openalex.org/W2166544161","https://openalex.org/W2400440869","https://openalex.org/W2586724694","https://openalex.org/W2594805023","https://openalex.org/W2612157927","https://openalex.org/W2744169505","https://openalex.org/W2765473053","https://openalex.org/W2792802223","https://openalex.org/W2886613299","https://openalex.org/W2891758727","https://openalex.org/W2917219381","https://openalex.org/W2945724308","https://openalex.org/W2953792346","https://openalex.org/W2954614115","https://openalex.org/W6764663014"],"related_works":["https://openalex.org/W4252706329","https://openalex.org/W2014532259","https://openalex.org/W1964091180","https://openalex.org/W2371827284","https://openalex.org/W1992526230","https://openalex.org/W2124552227","https://openalex.org/W1909999440","https://openalex.org/W2094241856","https://openalex.org/W1576040274","https://openalex.org/W2732428318"],"abstract_inverted_index":{"This":[0],"paper":[1],"introduces":[2],"a":[3,102,106],"robust":[4,34],"identification":[5,36,94,118],"solution":[6],"for":[7],"the":[8,25,33,40,44,46,62,73,78,82,92,97,113,116],"linear":[9],"parameter":[10,68],"varying":[11],"Autoregressive":[12],"Exogenous":[13],"systems":[14],"with":[15,21],"outlier-contaminated":[16],"outputs.":[17],"The":[18,65],"Laplace":[19,47],"distribution":[20,48],"heavy":[22],"tails":[23],"and":[24,77,85,105],"expectation":[26,74],"maximization":[27,75],"algorithm":[28],"are":[29,88,109],"combined":[30],"to":[31,59,80,111],"build":[32],"system":[35,63,83],"framework.":[37],"To":[38],"overcome":[39],"obstacles":[41],"brought":[42],"by":[43],"outliers,":[45],"which":[49],"can":[50],"be":[51],"decomposed":[52],"into":[53],"infinite":[54],"Gaussian":[55],"components,":[56],"is":[57,70],"applied":[58],"mathematically":[60],"model":[61,84],"noise.":[64],"problem":[66],"of":[67,115],"estimation":[69],"solved":[71],"using":[72],"algorithm,":[76],"equations":[79],"infer":[81],"noise":[86],"parameters":[87],"simultaneously":[89],"provided":[90],"in":[91],"developed":[93,117],"method.":[95,119],"Finally,":[96],"verification":[98],"tests":[99],"performed":[100],"on":[101],"numerical":[103],"example":[104],"mechanical":[107],"unit":[108],"used":[110],"prove":[112],"validity":[114]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}