{"id":"https://openalex.org/W4402264425","doi":"https://doi.org/10.23919/acc60939.2024.10645047","title":"Big Data-driven Predictive Control Using Multi-view Clustering","display_name":"Big Data-driven Predictive Control Using Multi-view Clustering","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4402264425","doi":"https://doi.org/10.23919/acc60939.2024.10645047"},"language":"en","primary_location":{"id":"doi:10.23919/acc60939.2024.10645047","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc60939.2024.10645047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 American Control Conference (ACC)","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/A5102683891","display_name":"Shuangyu Han","orcid":null},"institutions":[{"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":"Shuangyu Han","raw_affiliation_strings":["School of Chemical Engineering, University of New South Wales,Sydney,NSW,Australia,2052"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Chemical Engineering, University of New South Wales,Sydney,NSW,Australia,2052","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065332258","display_name":"Yitao Yan","orcid":"https://orcid.org/0000-0002-3329-2615"},"institutions":[{"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":"Yitao Yan","raw_affiliation_strings":["School of Chemical Engineering, University of New South Wales,Sydney,NSW,Australia,2052"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Chemical Engineering, University of New South Wales,Sydney,NSW,Australia,2052","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024848448","display_name":"Jie Bao","orcid":"https://orcid.org/0000-0002-6774-9863"},"institutions":[{"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":"Jie Bao","raw_affiliation_strings":["School of Chemical Engineering, University of New South Wales,Sydney,NSW,Australia,2052"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Chemical Engineering, University of New South Wales,Sydney,NSW,Australia,2052","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432851","display_name":"Biao Huang","orcid":"https://orcid.org/0000-0001-9082-2216"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Biao Huang","raw_affiliation_strings":["University of Alberta,Department of Chemical and Materials Engineering,Edmonton,Canada,AB T6G2G6"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Alberta,Department of Chemical and Materials Engineering,Edmonton,Canada,AB T6G2G6","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5100","last_page":"5105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9991999864578247,"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/T11236","display_name":"Control Systems and Identification","score":0.9991000294685364,"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":0.680096447467804},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6498522758483887},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6257141828536987},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4302036762237549},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3595663905143738},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26028773188591003}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.680096447467804},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6498522758483887},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6257141828536987},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4302036762237549},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3595663905143738},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26028773188591003}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/acc60939.2024.10645047","is_oa":false,"landing_page_url":"https://doi.org/10.23919/acc60939.2024.10645047","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 American Control Conference (ACC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1538422756","https://openalex.org/W1902027874","https://openalex.org/W2029018540","https://openalex.org/W2040871222","https://openalex.org/W2079953837","https://openalex.org/W2087399108","https://openalex.org/W2126625374","https://openalex.org/W2146560209","https://openalex.org/W2148443868","https://openalex.org/W2403436963","https://openalex.org/W2405459681","https://openalex.org/W2536620281","https://openalex.org/W2581586343","https://openalex.org/W2619317410","https://openalex.org/W2905182455","https://openalex.org/W2952672134","https://openalex.org/W2962821278","https://openalex.org/W2963346868","https://openalex.org/W2963602521","https://openalex.org/W2979207987","https://openalex.org/W3160526279"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364"],"abstract_inverted_index":{"This":[0],"work":[1],"presents":[2],"a":[3,20,59],"big":[4],"data-driven":[5],"predictive":[6],"control":[7,77],"(BDPC)":[8],"approach":[9,89],"using":[10,92],"multi-view":[11],"clustering":[12],"to":[13,64,80],"approximate":[14],"nonlinear":[15,35],"system":[16],"behaviors":[17],"(represented":[18,30],"by":[19,31],"set":[21],"of":[22,46,51,95],"input-output":[23],"variable":[24],"trajectories)":[25],"with":[26],"local":[27],"linear":[28,52,73],"sub-behaviors":[29],"Hankel":[32],"matrices).":[33],"The":[34],"behavior":[36],"space":[37],"is":[38,62,90],"partitioned":[39],"based":[40],"on":[41],"two":[42],"views:":[43],"Euclidean":[44],"distance":[45],"trajectories,":[47],"and":[48,75],"the":[49,66,70,87,97],"angle":[50],"subspaces":[53],"that":[54],"trajectories":[55],"belong":[56],"to.":[57],"Subsequently,":[58],"BDPC":[60,88],"controller":[61],"designed":[63],"locate":[65],"online":[67],"trajectory":[68],"into":[69],"most":[71],"relevant":[72],"sub-behavior":[74],"determine":[76],"actions":[78],"subject":[79],"optimization":[81],"in":[82],"every":[83],"receding":[84],"horizon.":[85],"Finally,":[86],"illustrated":[91],"an":[93],"example":[94],"controlling":[96],"Hall-H\u00e9roult":[98],"process.":[99]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}