{"id":"https://openalex.org/W4362601221","doi":"https://doi.org/10.1109/tnnls.2023.3262556","title":"A New Grey Wolf Optimizer Tuned Extended Generalized Predictive Control for Distillation Process","display_name":"A New Grey Wolf Optimizer Tuned Extended Generalized Predictive Control for Distillation Process","publication_year":2023,"publication_date":"2023-04-05","ids":{"openalex":"https://openalex.org/W4362601221","doi":"https://doi.org/10.1109/tnnls.2023.3262556","pmid":"https://pubmed.ncbi.nlm.nih.gov/37018090"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2023.3262556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3262556","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5038805615","display_name":"Jia Ren","orcid":"https://orcid.org/0000-0002-0719-7075"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jia Ren","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-0719-7075","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073105796","display_name":"Zengqiang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengqiang Chen","raw_affiliation_strings":["College of Artificial Intelligence and the Key Laboratory of Intelligent Robotics of Tianjin, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-1415-4073","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence and the Key Laboratory of Intelligent Robotics of Tianjin, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073570292","display_name":"Yikang Yang","orcid":"https://orcid.org/0000-0003-4637-0472"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikang Yang","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-4637-0472","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100614110","display_name":"Zenghui Wang","orcid":"https://orcid.org/0000-0003-3025-336X"},"institutions":[{"id":"https://openalex.org/I165390105","display_name":"University of South Africa","ror":"https://ror.org/048cwvf49","country_code":"ZA","type":"education","lineage":["https://openalex.org/I165390105"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Zenghui Wang","raw_affiliation_strings":["Department of Electrical Engineering, University of South Africa, Florida, South Africa"],"raw_orcid":"https://orcid.org/0000-0003-3025-336X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, University of South Africa, Florida, South Africa","institution_ids":["https://openalex.org/I165390105"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025805718","display_name":"Mingwei Sun","orcid":"https://orcid.org/0000-0002-0974-6525"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingwei Sun","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-0974-6525","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031387980","display_name":"Qinglin Sun","orcid":"https://orcid.org/0000-0002-8118-2285"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinglin Sun","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-8118-2285","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5038805615"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":1.4007,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.80693701,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"35","issue":"5","first_page":"5880","last_page":"5890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9998999834060669,"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":0.9998999834060669,"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/T11053","display_name":"Process Optimization and Integration","score":0.9983000159263611,"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":0.996999979019165,"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/benchmark","display_name":"Benchmark (surveying)","score":0.793830156326294},{"id":"https://openalex.org/keywords/fractionating-column","display_name":"Fractionating column","score":0.6814402937889099},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.6803466081619263},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.6617681384086609},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6061203479766846},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5768495202064514},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5752285122871399},{"id":"https://openalex.org/keywords/observer","display_name":"Observer (physics)","score":0.46179935336112976},{"id":"https://openalex.org/keywords/coupling","display_name":"Coupling (piping)","score":0.43447279930114746},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.41693806648254395},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.41244372725486755},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.32897770404815674},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24326565861701965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.18708044290542603}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.793830156326294},{"id":"https://openalex.org/C154030694","wikidata":"https://www.wikidata.org/wiki/Q1436074","display_name":"Fractionating column","level":3,"score":0.6814402937889099},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.6803466081619263},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.6617681384086609},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6061203479766846},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5768495202064514},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5752285122871399},{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.46179935336112976},{"id":"https://openalex.org/C131584629","wikidata":"https://www.wikidata.org/wiki/Q4308705","display_name":"Coupling (piping)","level":2,"score":0.43447279930114746},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41693806648254395},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.41244372725486755},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.32897770404815674},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24326565861701965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.18708044290542603},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2023.3262556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2023.3262556","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:37018090","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37018090","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G1759750093","display_name":null,"funder_award_id":"61973172","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3958990395","display_name":null,"funder_award_id":"62073177","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4782963580","display_name":null,"funder_award_id":"2021YJSB018","funder_id":"https://openalex.org/F4320336754","funder_display_name":"Tianjin Research Innovation Project for Postgraduate Students"},{"id":"https://openalex.org/G6033413095","display_name":null,"funder_award_id":"61973175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336754","display_name":"Tianjin Research Innovation Project for Postgraduate Students","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W63394228","https://openalex.org/W1487432464","https://openalex.org/W1998384164","https://openalex.org/W2042489644","https://openalex.org/W2061438946","https://openalex.org/W2087050671","https://openalex.org/W2146185743","https://openalex.org/W2170586925","https://openalex.org/W2333310036","https://openalex.org/W2919979744","https://openalex.org/W2920888986","https://openalex.org/W2994261056","https://openalex.org/W3013725190","https://openalex.org/W3022336959","https://openalex.org/W3082102459","https://openalex.org/W3085522432","https://openalex.org/W3097875984","https://openalex.org/W3127290989","https://openalex.org/W3154505484","https://openalex.org/W3156502691","https://openalex.org/W3160554433","https://openalex.org/W3169386058","https://openalex.org/W3175649277","https://openalex.org/W3180442014","https://openalex.org/W3180590939","https://openalex.org/W3188251934","https://openalex.org/W3191504339","https://openalex.org/W3196756897","https://openalex.org/W3205485192","https://openalex.org/W3213103995","https://openalex.org/W3213122402","https://openalex.org/W3214955056","https://openalex.org/W3216940482","https://openalex.org/W4200061407","https://openalex.org/W4200181309","https://openalex.org/W4200305844","https://openalex.org/W4205110609","https://openalex.org/W4205268241","https://openalex.org/W4206417916","https://openalex.org/W6629199304"],"related_works":["https://openalex.org/W2358882807","https://openalex.org/W2001433658","https://openalex.org/W2369356682","https://openalex.org/W2768175398","https://openalex.org/W2034881469","https://openalex.org/W4310558162","https://openalex.org/W2313421300","https://openalex.org/W2572146518","https://openalex.org/W1997587559","https://openalex.org/W1597623721"],"abstract_inverted_index":{"The":[0,81,151],"distillation":[1,14,31,86,192],"process":[2],"plays":[3],"an":[4,36],"essential":[5],"role":[6],"in":[7,77,177],"the":[8,12,30,45,57,63,66,85,92,101,109,129,157,160,166,174,191],"petrochemical":[9],"industry.":[10],"However,":[11],"high-purity":[13],"column":[15,32,87],"has":[16],"complicated":[17],"dynamic":[18],"characteristics":[19],"such":[20],"as":[21],"strong":[22,82],"coupling":[23,69,83],"and":[24,51,70,74,91,105,119,133,144,148,181],"large":[25,93],"time":[26,94,183],"delay.":[27],"To":[28,99],"control":[29,40,55,107],"accurately,":[33],"we":[34],"proposed":[35,58,126,175],"extended":[37,48],"generalized":[38,53],"predictive":[39,54],"(EGPC)":[41],"method":[42,176],"inspired":[43],"by":[44],"principles":[46],"of":[47,68,84,131,165,179],"state":[49],"observer":[50],"proportional-integral-type":[52],"method;":[56],"EGPC":[59],"can":[60],"adaptively":[61],"compensate":[62],"system":[64],"for":[65,103,163,189],"effects":[67],"model":[71],"mismatch":[72],"online":[73],"performs":[75],"well":[76],"controlling":[78,190],"time-delay":[79],"systems.":[80],"needs":[88],"fast":[89,104],"control,":[90],"delay":[95],"requires":[96],"soft":[97,106],"control.":[98],"balance":[100],"requirement":[102],"at":[108],"same":[110],"time,":[111],"a":[112,140],"grey":[113],"wolf":[114],"optimizer":[115],"with":[116],"reverse":[117],"learning":[118],"adaptive":[120],"leaders":[121],"number":[122],"strategies":[123,135],"(RAGWO)":[124],"was":[125],"to":[127,138,186],"tune":[128],"parameters":[130],"EGPC,":[132],"these":[134],"enable":[136],"RAGWO":[137,158],"have":[139],"better":[141],"initial":[142],"population":[143],"improve":[145],"its":[146],"exploitation":[147],"exploration":[149],"ability.":[150],"benchmark":[152,168],"test":[153],"results":[154],"indicate":[155],"that":[156,173],"outperforms":[159],"existing":[161],"optimizers":[162],"most":[164],"selected":[167],"functions.":[169],"Extensive":[170],"simulations":[171],"show":[172],"terms":[178],"fluctuation":[180],"response":[182],"is":[184],"superior":[185],"other":[187],"methods":[188],"process.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}