{"id":"https://openalex.org/W1543827444","doi":"https://doi.org/10.1109/ascc.2015.7244412","title":"Bayesian dynamic linear model-based modeling method for an aniline stripping column","display_name":"Bayesian dynamic linear model-based modeling method for an aniline stripping column","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1543827444","doi":"https://doi.org/10.1109/ascc.2015.7244412","mag":"1543827444"},"language":"en","primary_location":{"id":"doi:10.1109/ascc.2015.7244412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ascc.2015.7244412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th Asian Control Conference (ASCC)","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/A5104206964","display_name":"Bingqiang Huang","orcid":null},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Bingqiang Huang","raw_affiliation_strings":["School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou, China","School of Automation and Electrical Engineering Zhejiang University of Science and Technology Hangzhou, 310023, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]},{"raw_affiliation_string":"School of Automation and Electrical Engineering Zhejiang University of Science and Technology Hangzhou, 310023, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649171","display_name":"Yong Gu","orcid":"https://orcid.org/0000-0001-7336-513X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Gu","raw_affiliation_strings":["State Key Laboratory of Industrial Control Industrial Technology, Zhejiang University, Hangzhou, China","State Key Laboratory of Industrial Control Industrial Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, 310027, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Industrial Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"State Key Laboratory of Industrial Control Industrial Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, 310027, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078403818","display_name":"Hongye Su","orcid":"https://orcid.org/0000-0002-7003-1000"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongye Su","raw_affiliation_strings":["State Key Laboratory of Industrial Control Industrial Technology, Zhejiang University, Hangzhou, China","State Key Laboratory of Industrial Control Industrial Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, 310027, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Industrial Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"State Key Laboratory of Industrial Control Industrial Technology, Institute of Cyber-Systems and Control, Zhejiang University, Hangzhou, 310027, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5104206964"],"corresponding_institution_ids":["https://openalex.org/I168879160"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02972023,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9991999864578247,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9991999864578247,"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":0.9984999895095825,"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":0.9799000024795532,"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/bayesian-probability","display_name":"Bayesian probability","score":0.6638702750205994},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6345528364181519},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5181116461753845},{"id":"https://openalex.org/keywords/bayesian-experimental-design","display_name":"Bayesian experimental design","score":0.5156587362289429},{"id":"https://openalex.org/keywords/controller","display_name":"Controller (irrigation)","score":0.4852488040924072},{"id":"https://openalex.org/keywords/linear-model","display_name":"Linear model","score":0.4805360436439514},{"id":"https://openalex.org/keywords/stripping","display_name":"Stripping (fiber)","score":0.45297330617904663},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43324369192123413},{"id":"https://openalex.org/keywords/dynamic-bayesian-network","display_name":"Dynamic Bayesian network","score":0.4233367443084717},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.358160138130188},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.336616575717926},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32854121923446655},{"id":"https://openalex.org/keywords/bayesian-statistics","display_name":"Bayesian statistics","score":0.29896867275238037},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.20014575123786926}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6638702750205994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6345528364181519},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5181116461753845},{"id":"https://openalex.org/C99173435","wikidata":"https://www.wikidata.org/wiki/Q4874469","display_name":"Bayesian experimental design","level":5,"score":0.5156587362289429},{"id":"https://openalex.org/C203479927","wikidata":"https://www.wikidata.org/wiki/Q5165939","display_name":"Controller (irrigation)","level":2,"score":0.4852488040924072},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.4805360436439514},{"id":"https://openalex.org/C41952129","wikidata":"https://www.wikidata.org/wiki/Q7624159","display_name":"Stripping (fiber)","level":2,"score":0.45297330617904663},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43324369192123413},{"id":"https://openalex.org/C82142266","wikidata":"https://www.wikidata.org/wiki/Q3456604","display_name":"Dynamic Bayesian network","level":3,"score":0.4233367443084717},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.358160138130188},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.336616575717926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32854121923446655},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.29896867275238037},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.20014575123786926},{"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ascc.2015.7244412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ascc.2015.7244412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 10th Asian Control Conference (ASCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.41999998688697815,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W292508636","https://openalex.org/W1550863200","https://openalex.org/W1775012529","https://openalex.org/W1968520181","https://openalex.org/W2073911623","https://openalex.org/W2074108366","https://openalex.org/W2084391408","https://openalex.org/W2086441367","https://openalex.org/W2089722518","https://openalex.org/W2141322161","https://openalex.org/W2151926297","https://openalex.org/W2600299758","https://openalex.org/W2942506458"],"related_works":["https://openalex.org/W1980584819","https://openalex.org/W1941202037","https://openalex.org/W4233612155","https://openalex.org/W4387994328","https://openalex.org/W1529069387","https://openalex.org/W4366999323","https://openalex.org/W2742569683","https://openalex.org/W1573215448","https://openalex.org/W2121317703","https://openalex.org/W3049691116"],"abstract_inverted_index":{"The":[0],"step":[1,123],"test":[2,124],"method":[3],"is":[4,31,52,88,109],"a":[5,56,92],"common":[6],"modeling":[7,117],"approach":[8],"for":[9,55],"industrial":[10],"process":[11],"and":[12,19,47,77,85,111,113,121],"has":[13],"the":[14,24,28,32,36,49,63,74,78,82,96,102,106,119],"disadvantages":[15],"of":[16,23,27,34,68],"time":[17],"consuming":[18],"production":[20],"disruption.":[21],"One":[22],"major":[25],"features":[26],"Bayesian":[29,42,83,107],"methodology":[30],"ability":[33],"integrating":[35],"subjective":[37,50],"intervention":[38],"information":[39,51],"into":[40],"existing":[41],"dynamic":[43],"linear":[44,86],"model":[45,79,103],"(DLM)":[46],"sometimes":[48],"also":[53],"important":[54],"MPC":[57,93],"controller":[58],"design.":[59],"This":[60],"paper":[61],"takes":[62],"bottom":[64],"temperature":[65],"control":[66],"problem":[67],"an":[69],"aniline":[70],"stripping":[71],"column":[72],"as":[73],"research":[75],"object,":[76],"calculated":[80],"by":[81,114],"DLM":[84,108],"fitness":[87],"adopted":[89],"to":[90],"design":[91],"controller.":[94],"Finally,":[95],"practical":[97],"application":[98],"result":[99],"shows":[100],"that":[101],"based":[104],"on":[105],"useful":[110],"effective,":[112],"using":[115],"this":[116],"method,":[118],"disruptive":[120],"expensive":[122],"may":[125],"be":[126],"reduced.":[127]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
